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Diffstat (limited to 'pkg/images/immatch/src/imcombine')
58 files changed, 26112 insertions, 0 deletions
diff --git a/pkg/images/immatch/src/imcombine/imcombine.par b/pkg/images/immatch/src/imcombine/imcombine.par new file mode 100644 index 00000000..ead908e4 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/imcombine.par @@ -0,0 +1,43 @@ +# IMCOMBINE -- Image combine parameters + +input,s,a,,,,List of images to combine +output,s,a,,,,List of output images +headers,s,h,"",,,List of header files (optional) +bpmasks,s,h,"",,,List of bad pixel masks (optional) +rejmasks,s,h,"",,,List of rejection masks (optional) +nrejmasks,s,h,"",,,List of number rejected masks (optional) +expmasks,s,h,"",,,List of exposure masks (optional) +sigmas,s,h,"",,,List of sigma images (optional) +imcmb,s,h,"$I",,,Keyword for IMCMB keywords +logfile,s,h,"STDOUT",,,"Log file +" +combine,s,h,"average","average|median|lmedian|sum|quadrature|nmodel",,Type of combine operation +reject,s,h,"none","none|minmax|ccdclip|crreject|sigclip|avsigclip|pclip",,Type of rejection +project,b,h,no,,,Project highest dimension of input images? +outtype,s,h,"real","short|ushort|integer|long|real|double",,Output image pixel datatype +outlimits,s,h,"",,,Output limits (x1 x2 y1 y2 ...) +offsets,f,h,"none",,,Input image offsets +masktype,s,h,"none","",,Mask type +maskvalue,s,h,"0",,,Mask value +blank,r,h,0.,,,"Value if there are no pixels +" +scale,s,h,"none",,,Image scaling +zero,s,h,"none",,,Image zero point offset +weight,s,h,"none",,,Image weights +statsec,s,h,"",,,Image section for computing statistics +expname,s,h,"",,,"Image header exposure time keyword +" +lthreshold,r,h,INDEF,,,Lower threshold +hthreshold,r,h,INDEF,,,Upper threshold +nlow,i,h,1,0,,minmax: Number of low pixels to reject +nhigh,i,h,1,0,,minmax: Number of high pixels to reject +nkeep,i,h,1,,,Minimum to keep (pos) or maximum to reject (neg) +mclip,b,h,yes,,,Use median in sigma clipping algorithms? +lsigma,r,h,3.,0.,,Lower sigma clipping factor +hsigma,r,h,3.,0.,,Upper sigma clipping factor +rdnoise,s,h,"0.",,,ccdclip: CCD readout noise (electrons) +gain,s,h,"1.",,,ccdclip: CCD gain (electrons/DN) +snoise,s,h,"0.",,,ccdclip: Sensitivity noise (fraction) +sigscale,r,h,0.1,0.,,Tolerance for sigma clipping scaling corrections +pclip,r,h,-0.5,,,pclip: Percentile clipping parameter +grow,r,h,0.,0.,,Radius (pixels) for neighbor rejection diff --git a/pkg/images/immatch/src/imcombine/mkpkg b/pkg/images/immatch/src/imcombine/mkpkg new file mode 100644 index 00000000..456232e8 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/mkpkg @@ -0,0 +1,20 @@ +# Make the IMCOMBINE Task. + +$checkout libpkg.a ../../../ +$update libpkg.a +$checkin libpkg.a ../../../ +$exit + +standalone: + $set LIBS1 = "src/libimc.a -lxtools -lcurfit -lsurfit -lgsurfit" + $set LIBS2 = "-liminterp -lnlfit -lslalib -lncar -lgks" + $update libimc.a@src + $update libpkg.a + $omake x_imcombine.x + $link x_imcombine.o libpkg.a $(LIBS1) $(LIBS2) -o xx_imcombine.e + ; + +libpkg.a: + t_imcombine.x src/icombine.com src/icombine.h <error.h> <mach.h> \ + <imhdr.h> + ; diff --git a/pkg/images/immatch/src/imcombine/src/Revisions b/pkg/images/immatch/src/imcombine/src/Revisions new file mode 100644 index 00000000..469f9e5c --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/Revisions @@ -0,0 +1,36 @@ +.help revisions Jul04 imcombine/src +.nf + +This directory contains generic code used in various tasks that combine +images. + +======= +V2.13 +======= + +icgdata.gx + Fixed a problem where 3-D images were closing an image in the case + of many bands leading to a slow execution (10/20/06, Valdes) + +======= +V2.12.3 +======= + +icmask.x +iclog.x +icombine.h + As a special unadvertised feature the "maskvalue" parameter may be + specified with a leading '<' or '>'. Ultimately a full expression + should be added and documented. (7/26/04, Valdes) + +icmask.x + Added a feature to allow masks specified without a path to be found + either in the current directory or the directory with the image. This + is useful when images to be combined are distributed across multiple + directories. (7/16/04, Valdes) + +======== +V2.12.2a +======== + +.endhelp diff --git a/pkg/images/immatch/src/imcombine/src/generic/icaclip.x b/pkg/images/immatch/src/imcombine/src/generic/icaclip.x new file mode 100644 index 00000000..8fb89b1b --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icaclip.x @@ -0,0 +1,2207 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +define MINCLIP 3 # Minimum number of images for this algorithm + + +# IC_AAVSIGCLIP -- Reject pixels using an average sigma about the average +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_aavsigclips (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +real d1, low, high, sum, a, s, s1, r, one +data one /1.0/ +pointer sp, sums, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (sums, npts, TY_REAL) + call salloc (resid, nimages+1, TY_REAL) + + # Since the unweighted average is computed here possibly skip combining + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Compute the unweighted average with the high and low rejected and + # the poisson scaled average sigma. There must be at least three + # pixels at each point to define the average and contributions to + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + nin = max (0, n[1]) + s = 0. + n2 = 0 + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) + next + + # Unweighted average with the high and low rejected + low = Mems[d[1]+k] + high = Mems[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Mems[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Mems[dp1] + l = Memi[mp1] + s1 = max (one, (a + zeros[l]) / scales[l]) + s = s + (d1 - a) ** 2 / s1 + } + } else { + s1 = max (one, a) + do j = 1, n1 + s = s + (Mems[d[j]+k] - a) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the average and sum for later. + average[i] = a + Memr[sums+k] = sum + } + + # Here is the final sigma. + if (n2 > 1) + s = sqrt (s / (n2 - 1)) + + # Reject pixels and compute the final average (if needed). + # There must be at least three pixels at each point for rejection. + # Iteratively scale the mean sigma and reject pixels + # Compact the data and keep track of the image IDs if needed. + + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (2, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Mems[d[1]+k] + do j = 2, n1 + sum = sum + Mems[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + a = average[i] + sum = Memr[sums+k] + + repeat { + n2 = n1 + if (s > 0.) { + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Mems[dp1] + l = Memi[mp1] + s1 = s * sqrt (max (one, (a+zeros[l]) / scales[l])) + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + s1 = s * sqrt (max (one, a)) + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Mems[dp1] + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mems[dp1] + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Mems[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mems[dp1] + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Mems[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MAVSIGCLIP -- Reject pixels using an average sigma about the median +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_mavsigclips (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +pointer sp, resid, mp1, mp2 +real med, low, high, sig, r, s, s1, one +data one /1.0/ + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute the poisson scaled average sigma about the median. + # There must be at least three pixels at each point to define + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + s = 0. + n2 = 0 + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) { + if (n1 == 0) + median[i] = blank + else if (n1 == 1) + median[i] = Mems[d[1]+k] + else { + low = Mems[d[1]+k] + high = Mems[d[2]+k] + median[i] = (low + high) / 2. + } + next + } + + # Median + n3 = 1 + n1 / 2 + if (mod (n1, 2) == 0) { + low = Mems[d[n3-1]+k] + high = Mems[d[n3]+k] + med = (low + high) / 2. + } else + med = Mems[d[n3]+k] + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + l = Memi[m[j]+k] + s1 = max (one, (med + zeros[l]) / scales[l]) + s = s + (Mems[d[j]+k] - med) ** 2 / s1 + } + } else { + s1 = max (one, med) + do j = 1, n1 + s = s + (Mems[d[j]+k] - med) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the median for later. + median[i] = med + } + + # Here is the final sigma. + if (n2 > 1) + sig = sqrt (s / (n2 - 1)) + else { + call sfree (sp) + return + } + + # Compute individual sigmas and iteratively clip. + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 < max (3, maxkeep+1)) + next + nl = 1 + nh = n1 + med = median[i] + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 >= max (MINCLIP, maxkeep+1) && sig > 0.) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (med - Mems[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (Mems[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + s1 = sig * sqrt (max (one, med)) + for (; nl <= nh; nl = nl + 1) { + r = (med - Mems[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Mems[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Mems[d[n3-1]+k] + high = Mems[d[n3]+k] + med = (low + high) / 2. + } else + med = Mems[d[n3]+k] + } else + med = blank + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Mems[d[n3-1]+k] + high = Mems[d[n3]+k] + med = (low + high) / 2. + } else + med = Mems[d[n3]+k] + } else + med = blank + } + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Mems[d[l]+k] = Mems[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Mems[d[l]+k] = Mems[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_AAVSIGCLIP -- Reject pixels using an average sigma about the average +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_aavsigclipi (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +real d1, low, high, sum, a, s, s1, r, one +data one /1.0/ +pointer sp, sums, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (sums, npts, TY_REAL) + call salloc (resid, nimages+1, TY_REAL) + + # Since the unweighted average is computed here possibly skip combining + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Compute the unweighted average with the high and low rejected and + # the poisson scaled average sigma. There must be at least three + # pixels at each point to define the average and contributions to + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + nin = max (0, n[1]) + s = 0. + n2 = 0 + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) + next + + # Unweighted average with the high and low rejected + low = Memi[d[1]+k] + high = Memi[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Memi[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Memi[dp1] + l = Memi[mp1] + s1 = max (one, (a + zeros[l]) / scales[l]) + s = s + (d1 - a) ** 2 / s1 + } + } else { + s1 = max (one, a) + do j = 1, n1 + s = s + (Memi[d[j]+k] - a) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the average and sum for later. + average[i] = a + Memr[sums+k] = sum + } + + # Here is the final sigma. + if (n2 > 1) + s = sqrt (s / (n2 - 1)) + + # Reject pixels and compute the final average (if needed). + # There must be at least three pixels at each point for rejection. + # Iteratively scale the mean sigma and reject pixels + # Compact the data and keep track of the image IDs if needed. + + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (2, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Memi[d[1]+k] + do j = 2, n1 + sum = sum + Memi[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + a = average[i] + sum = Memr[sums+k] + + repeat { + n2 = n1 + if (s > 0.) { + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Memi[dp1] + l = Memi[mp1] + s1 = s * sqrt (max (one, (a+zeros[l]) / scales[l])) + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + s1 = s * sqrt (max (one, a)) + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Memi[dp1] + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memi[dp1] + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Memi[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memi[dp1] + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Memi[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MAVSIGCLIP -- Reject pixels using an average sigma about the median +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_mavsigclipi (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +pointer sp, resid, mp1, mp2 +real med, low, high, sig, r, s, s1, one +data one /1.0/ + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute the poisson scaled average sigma about the median. + # There must be at least three pixels at each point to define + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + s = 0. + n2 = 0 + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) { + if (n1 == 0) + median[i] = blank + else if (n1 == 1) + median[i] = Memi[d[1]+k] + else { + low = Memi[d[1]+k] + high = Memi[d[2]+k] + median[i] = (low + high) / 2. + } + next + } + + # Median + n3 = 1 + n1 / 2 + if (mod (n1, 2) == 0) { + low = Memi[d[n3-1]+k] + high = Memi[d[n3]+k] + med = (low + high) / 2. + } else + med = Memi[d[n3]+k] + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + l = Memi[m[j]+k] + s1 = max (one, (med + zeros[l]) / scales[l]) + s = s + (Memi[d[j]+k] - med) ** 2 / s1 + } + } else { + s1 = max (one, med) + do j = 1, n1 + s = s + (Memi[d[j]+k] - med) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the median for later. + median[i] = med + } + + # Here is the final sigma. + if (n2 > 1) + sig = sqrt (s / (n2 - 1)) + else { + call sfree (sp) + return + } + + # Compute individual sigmas and iteratively clip. + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 < max (3, maxkeep+1)) + next + nl = 1 + nh = n1 + med = median[i] + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 >= max (MINCLIP, maxkeep+1) && sig > 0.) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (med - Memi[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (Memi[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + s1 = sig * sqrt (max (one, med)) + for (; nl <= nh; nl = nl + 1) { + r = (med - Memi[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Memi[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Memi[d[n3-1]+k] + high = Memi[d[n3]+k] + med = (low + high) / 2. + } else + med = Memi[d[n3]+k] + } else + med = blank + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Memi[d[n3-1]+k] + high = Memi[d[n3]+k] + med = (low + high) / 2. + } else + med = Memi[d[n3]+k] + } else + med = blank + } + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memi[d[l]+k] = Memi[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memi[d[l]+k] = Memi[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_AAVSIGCLIP -- Reject pixels using an average sigma about the average +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_aavsigclipr (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +real d1, low, high, sum, a, s, s1, r, one +data one /1.0/ +pointer sp, sums, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (sums, npts, TY_REAL) + call salloc (resid, nimages+1, TY_REAL) + + # Since the unweighted average is computed here possibly skip combining + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Compute the unweighted average with the high and low rejected and + # the poisson scaled average sigma. There must be at least three + # pixels at each point to define the average and contributions to + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + nin = max (0, n[1]) + s = 0. + n2 = 0 + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) + next + + # Unweighted average with the high and low rejected + low = Memr[d[1]+k] + high = Memr[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Memr[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Memr[dp1] + l = Memi[mp1] + s1 = max (one, (a + zeros[l]) / scales[l]) + s = s + (d1 - a) ** 2 / s1 + } + } else { + s1 = max (one, a) + do j = 1, n1 + s = s + (Memr[d[j]+k] - a) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the average and sum for later. + average[i] = a + Memr[sums+k] = sum + } + + # Here is the final sigma. + if (n2 > 1) + s = sqrt (s / (n2 - 1)) + + # Reject pixels and compute the final average (if needed). + # There must be at least three pixels at each point for rejection. + # Iteratively scale the mean sigma and reject pixels + # Compact the data and keep track of the image IDs if needed. + + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (2, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Memr[d[1]+k] + do j = 2, n1 + sum = sum + Memr[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + a = average[i] + sum = Memr[sums+k] + + repeat { + n2 = n1 + if (s > 0.) { + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Memr[dp1] + l = Memi[mp1] + s1 = s * sqrt (max (one, (a+zeros[l]) / scales[l])) + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + s1 = s * sqrt (max (one, a)) + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Memr[dp1] + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memr[dp1] + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Memr[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memr[dp1] + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Memr[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MAVSIGCLIP -- Reject pixels using an average sigma about the median +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_mavsigclipr (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +pointer sp, resid, mp1, mp2 +real med, low, high, sig, r, s, s1, one +data one /1.0/ + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute the poisson scaled average sigma about the median. + # There must be at least three pixels at each point to define + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + s = 0. + n2 = 0 + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) { + if (n1 == 0) + median[i] = blank + else if (n1 == 1) + median[i] = Memr[d[1]+k] + else { + low = Memr[d[1]+k] + high = Memr[d[2]+k] + median[i] = (low + high) / 2. + } + next + } + + # Median + n3 = 1 + n1 / 2 + if (mod (n1, 2) == 0) { + low = Memr[d[n3-1]+k] + high = Memr[d[n3]+k] + med = (low + high) / 2. + } else + med = Memr[d[n3]+k] + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + l = Memi[m[j]+k] + s1 = max (one, (med + zeros[l]) / scales[l]) + s = s + (Memr[d[j]+k] - med) ** 2 / s1 + } + } else { + s1 = max (one, med) + do j = 1, n1 + s = s + (Memr[d[j]+k] - med) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the median for later. + median[i] = med + } + + # Here is the final sigma. + if (n2 > 1) + sig = sqrt (s / (n2 - 1)) + else { + call sfree (sp) + return + } + + # Compute individual sigmas and iteratively clip. + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 < max (3, maxkeep+1)) + next + nl = 1 + nh = n1 + med = median[i] + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 >= max (MINCLIP, maxkeep+1) && sig > 0.) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (med - Memr[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (Memr[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + s1 = sig * sqrt (max (one, med)) + for (; nl <= nh; nl = nl + 1) { + r = (med - Memr[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Memr[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Memr[d[n3-1]+k] + high = Memr[d[n3]+k] + med = (low + high) / 2. + } else + med = Memr[d[n3]+k] + } else + med = blank + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Memr[d[n3-1]+k] + high = Memr[d[n3]+k] + med = (low + high) / 2. + } else + med = Memr[d[n3]+k] + } else + med = blank + } + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memr[d[l]+k] = Memr[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memr[d[l]+k] = Memr[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_AAVSIGCLIP -- Reject pixels using an average sigma about the average +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_aavsigclipd (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +double average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +double d1, low, high, sum, a, s, s1, r, one +data one /1.0D0/ +pointer sp, sums, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (sums, npts, TY_REAL) + call salloc (resid, nimages+1, TY_REAL) + + # Since the unweighted average is computed here possibly skip combining + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Compute the unweighted average with the high and low rejected and + # the poisson scaled average sigma. There must be at least three + # pixels at each point to define the average and contributions to + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + nin = max (0, n[1]) + s = 0. + n2 = 0 + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) + next + + # Unweighted average with the high and low rejected + low = Memd[d[1]+k] + high = Memd[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Memd[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Memd[dp1] + l = Memi[mp1] + s1 = max (one, (a + zeros[l]) / scales[l]) + s = s + (d1 - a) ** 2 / s1 + } + } else { + s1 = max (one, a) + do j = 1, n1 + s = s + (Memd[d[j]+k] - a) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the average and sum for later. + average[i] = a + Memr[sums+k] = sum + } + + # Here is the final sigma. + if (n2 > 1) + s = sqrt (s / (n2 - 1)) + + # Reject pixels and compute the final average (if needed). + # There must be at least three pixels at each point for rejection. + # Iteratively scale the mean sigma and reject pixels + # Compact the data and keep track of the image IDs if needed. + + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (2, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Memd[d[1]+k] + do j = 2, n1 + sum = sum + Memd[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + a = average[i] + sum = Memr[sums+k] + + repeat { + n2 = n1 + if (s > 0.) { + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Memd[dp1] + l = Memi[mp1] + s1 = s * sqrt (max (one, (a+zeros[l]) / scales[l])) + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + s1 = s * sqrt (max (one, a)) + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Memd[dp1] + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memd[dp1] + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Memd[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memd[dp1] + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Memd[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MAVSIGCLIP -- Reject pixels using an average sigma about the median +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_mavsigclipd (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +double median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +pointer sp, resid, mp1, mp2 +double med, low, high, sig, r, s, s1, one +data one /1.0D0/ + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute the poisson scaled average sigma about the median. + # There must be at least three pixels at each point to define + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + s = 0. + n2 = 0 + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) { + if (n1 == 0) + median[i] = blank + else if (n1 == 1) + median[i] = Memd[d[1]+k] + else { + low = Memd[d[1]+k] + high = Memd[d[2]+k] + median[i] = (low + high) / 2. + } + next + } + + # Median + n3 = 1 + n1 / 2 + if (mod (n1, 2) == 0) { + low = Memd[d[n3-1]+k] + high = Memd[d[n3]+k] + med = (low + high) / 2. + } else + med = Memd[d[n3]+k] + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + l = Memi[m[j]+k] + s1 = max (one, (med + zeros[l]) / scales[l]) + s = s + (Memd[d[j]+k] - med) ** 2 / s1 + } + } else { + s1 = max (one, med) + do j = 1, n1 + s = s + (Memd[d[j]+k] - med) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the median for later. + median[i] = med + } + + # Here is the final sigma. + if (n2 > 1) + sig = sqrt (s / (n2 - 1)) + else { + call sfree (sp) + return + } + + # Compute individual sigmas and iteratively clip. + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 < max (3, maxkeep+1)) + next + nl = 1 + nh = n1 + med = median[i] + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 >= max (MINCLIP, maxkeep+1) && sig > 0.) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (med - Memd[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (Memd[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + s1 = sig * sqrt (max (one, med)) + for (; nl <= nh; nl = nl + 1) { + r = (med - Memd[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Memd[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Memd[d[n3-1]+k] + high = Memd[d[n3]+k] + med = (low + high) / 2. + } else + med = Memd[d[n3]+k] + } else + med = blank + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Memd[d[n3-1]+k] + high = Memd[d[n3]+k] + med = (low + high) / 2. + } else + med = Memd[d[n3]+k] + } else + med = blank + } + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memd[d[l]+k] = Memd[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memd[d[l]+k] = Memd[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icaverage.x b/pkg/images/immatch/src/imcombine/src/generic/icaverage.x new file mode 100644 index 00000000..7167d301 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icaverage.x @@ -0,0 +1,424 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <mach.h> +include "../icombine.h" +include "../icmask.h" + + +# IC_AVERAGE -- Compute the average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_averages (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +real average[npts] # Average (returned) + +int i, j, k, n1 +real sumwt, wt +real sum + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Mems[d[1]+k] * wt + do j = 2, n[i] { + wt = wts[Memi[m[j]+k]] + sum = sum + Mems[d[j]+k] * wt + } + average[i] = sum + } + } else { + do i = 1, npts { + k = i - 1 + sum = Mems[d[1]+k] + do j = 2, n[i] + sum = sum + Mems[d[j]+k] + if (doaverage == YES) + average[i] = sum / n[i] + else + average[i] = sum + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Mems[d[1]+k] * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + Mems[d[j]+k] * wt + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sum / sumwt + else { + sum = Mems[d[1]+k] + do j = 2, n1 + sum = sum + Mems[d[j]+k] + average[i] = sum / n1 + } + } else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + sum = Mems[d[1]+k] + do j = 2, n1 + sum = sum + Mems[d[j]+k] + if (doaverage == YES) + average[i] = sum / n1 + else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } + } +end + +# IC_AVERAGE -- Compute the average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_averagei (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +real average[npts] # Average (returned) + +int i, j, k, n1 +real sumwt, wt +real sum + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Memi[d[1]+k] * wt + do j = 2, n[i] { + wt = wts[Memi[m[j]+k]] + sum = sum + Memi[d[j]+k] * wt + } + average[i] = sum + } + } else { + do i = 1, npts { + k = i - 1 + sum = Memi[d[1]+k] + do j = 2, n[i] + sum = sum + Memi[d[j]+k] + if (doaverage == YES) + average[i] = sum / n[i] + else + average[i] = sum + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Memi[d[1]+k] * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + Memi[d[j]+k] * wt + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sum / sumwt + else { + sum = Memi[d[1]+k] + do j = 2, n1 + sum = sum + Memi[d[j]+k] + average[i] = sum / n1 + } + } else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + sum = Memi[d[1]+k] + do j = 2, n1 + sum = sum + Memi[d[j]+k] + if (doaverage == YES) + average[i] = sum / n1 + else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } + } +end + +# IC_AVERAGE -- Compute the average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_averager (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +real average[npts] # Average (returned) + +int i, j, k, n1 +real sumwt, wt +real sum + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Memr[d[1]+k] * wt + do j = 2, n[i] { + wt = wts[Memi[m[j]+k]] + sum = sum + Memr[d[j]+k] * wt + } + average[i] = sum + } + } else { + do i = 1, npts { + k = i - 1 + sum = Memr[d[1]+k] + do j = 2, n[i] + sum = sum + Memr[d[j]+k] + if (doaverage == YES) + average[i] = sum / n[i] + else + average[i] = sum + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Memr[d[1]+k] * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + Memr[d[j]+k] * wt + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sum / sumwt + else { + sum = Memr[d[1]+k] + do j = 2, n1 + sum = sum + Memr[d[j]+k] + average[i] = sum / n1 + } + } else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + sum = Memr[d[1]+k] + do j = 2, n1 + sum = sum + Memr[d[j]+k] + if (doaverage == YES) + average[i] = sum / n1 + else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } + } +end + +# IC_AVERAGE -- Compute the average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_averaged (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +double average[npts] # Average (returned) + +int i, j, k, n1 +real sumwt, wt +double sum + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Memd[d[1]+k] * wt + do j = 2, n[i] { + wt = wts[Memi[m[j]+k]] + sum = sum + Memd[d[j]+k] * wt + } + average[i] = sum + } + } else { + do i = 1, npts { + k = i - 1 + sum = Memd[d[1]+k] + do j = 2, n[i] + sum = sum + Memd[d[j]+k] + if (doaverage == YES) + average[i] = sum / n[i] + else + average[i] = sum + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Memd[d[1]+k] * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + Memd[d[j]+k] * wt + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sum / sumwt + else { + sum = Memd[d[1]+k] + do j = 2, n1 + sum = sum + Memd[d[j]+k] + average[i] = sum / n1 + } + } else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + sum = Memd[d[1]+k] + do j = 2, n1 + sum = sum + Memd[d[j]+k] + if (doaverage == YES) + average[i] = sum / n1 + else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } + } +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/iccclip.x b/pkg/images/immatch/src/imcombine/src/generic/iccclip.x new file mode 100644 index 00000000..cf60c779 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/iccclip.x @@ -0,0 +1,1791 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +define MINCLIP 2 # Mininum number of images for algorithm + + +# IC_ACCDCLIP -- Reject pixels using CCD noise parameters about the average + +procedure ic_accdclips (d, m, n, scales, zeros, nm, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model parameters +int nimages # Number of images +int npts # Number of output points per line +real average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +real d1, low, high, sum, a, s, r, zero +data zero /0.0/ +pointer sp, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are no pixels go on to the combining. Since the unweighted + # average is computed here possibly skip the combining later. + + # There must be at least max (1, nkeep) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } else if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # There must be at least two pixels for rejection. The initial + # average is the low/high rejected average except in the case of + # just two pixels. The rejections are iterated and the average + # is recomputed. Corrections for scaling may be performed. + # Depending on other flags the image IDs may also need to be adjusted. + + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (MINCLIP-1, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Mems[d[1]+k] + do j = 2, n1 + sum = sum + Mems[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + repeat { + if (n1 == 2) { + sum = Mems[d[1]+k] + sum = sum + Mems[d[2]+k] + a = sum / 2 + } else { + low = Mems[d[1]+k] + high = Mems[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Mems[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + } + n2 = n1 + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + l = Memi[mp1] + s = scales[l] + d1 = max (zero, s * (a + zeros[l])) + s = sqrt (nm[1,l] + d1/nm[2,l] + (d1*nm[3,l])**2) / s + + d1 = Mems[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + if (!keepids) { + s = max (zero, a) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (j=1; j<=n1; j=j+1) { + if (keepids) { + l = Memi[m[j]+k] + s = max (zero, a) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + dp1 = d[j] + k + d1 = Mems[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mems[dp1] + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Mems[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mems[dp1] + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Mems[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + } + + n[i] = n1 + if (!docombine) + if (n1 > 0) + average[i] = sum / n1 + else + average[i] = blank + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_CCDCLIP -- Reject pixels using CCD noise parameters about the median + +procedure ic_mccdclips (d, m, n, scales, zeros, nm, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model +int nimages # Number of images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, mp1, mp2 +real med, zero +data zero /0.0/ + +include "../icombine.com" + +begin + # There must be at least max (MINCLIP, nkeep+1) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) { + med = Mems[d[n3-1]+k] + med = (med + Mems[d[n3]+k]) / 2. + } else + med = Mems[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (med - Mems[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (Mems[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + if (!keepids) { + s = max (zero, med) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (; nl <= nh; nl = nl + 1) { + if (keepids) { + l = Memi[m[nl]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (med - Mems[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + if (keepids) { + l = Memi[m[nh]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (Mems[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Mems[d[l]+k] = Mems[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Mems[d[l]+k] = Mems[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_ACCDCLIP -- Reject pixels using CCD noise parameters about the average + +procedure ic_accdclipi (d, m, n, scales, zeros, nm, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model parameters +int nimages # Number of images +int npts # Number of output points per line +real average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +real d1, low, high, sum, a, s, r, zero +data zero /0.0/ +pointer sp, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are no pixels go on to the combining. Since the unweighted + # average is computed here possibly skip the combining later. + + # There must be at least max (1, nkeep) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } else if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # There must be at least two pixels for rejection. The initial + # average is the low/high rejected average except in the case of + # just two pixels. The rejections are iterated and the average + # is recomputed. Corrections for scaling may be performed. + # Depending on other flags the image IDs may also need to be adjusted. + + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (MINCLIP-1, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Memi[d[1]+k] + do j = 2, n1 + sum = sum + Memi[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + repeat { + if (n1 == 2) { + sum = Memi[d[1]+k] + sum = sum + Memi[d[2]+k] + a = sum / 2 + } else { + low = Memi[d[1]+k] + high = Memi[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Memi[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + } + n2 = n1 + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + l = Memi[mp1] + s = scales[l] + d1 = max (zero, s * (a + zeros[l])) + s = sqrt (nm[1,l] + d1/nm[2,l] + (d1*nm[3,l])**2) / s + + d1 = Memi[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + if (!keepids) { + s = max (zero, a) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (j=1; j<=n1; j=j+1) { + if (keepids) { + l = Memi[m[j]+k] + s = max (zero, a) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + dp1 = d[j] + k + d1 = Memi[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memi[dp1] + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Memi[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memi[dp1] + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Memi[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + } + + n[i] = n1 + if (!docombine) + if (n1 > 0) + average[i] = sum / n1 + else + average[i] = blank + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_CCDCLIP -- Reject pixels using CCD noise parameters about the median + +procedure ic_mccdclipi (d, m, n, scales, zeros, nm, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model +int nimages # Number of images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, mp1, mp2 +real med, zero +data zero /0.0/ + +include "../icombine.com" + +begin + # There must be at least max (MINCLIP, nkeep+1) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) { + med = Memi[d[n3-1]+k] + med = (med + Memi[d[n3]+k]) / 2. + } else + med = Memi[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (med - Memi[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (Memi[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + if (!keepids) { + s = max (zero, med) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (; nl <= nh; nl = nl + 1) { + if (keepids) { + l = Memi[m[nl]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (med - Memi[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + if (keepids) { + l = Memi[m[nh]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (Memi[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memi[d[l]+k] = Memi[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memi[d[l]+k] = Memi[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_ACCDCLIP -- Reject pixels using CCD noise parameters about the average + +procedure ic_accdclipr (d, m, n, scales, zeros, nm, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model parameters +int nimages # Number of images +int npts # Number of output points per line +real average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +real d1, low, high, sum, a, s, r, zero +data zero /0.0/ +pointer sp, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are no pixels go on to the combining. Since the unweighted + # average is computed here possibly skip the combining later. + + # There must be at least max (1, nkeep) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } else if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # There must be at least two pixels for rejection. The initial + # average is the low/high rejected average except in the case of + # just two pixels. The rejections are iterated and the average + # is recomputed. Corrections for scaling may be performed. + # Depending on other flags the image IDs may also need to be adjusted. + + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (MINCLIP-1, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Memr[d[1]+k] + do j = 2, n1 + sum = sum + Memr[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + repeat { + if (n1 == 2) { + sum = Memr[d[1]+k] + sum = sum + Memr[d[2]+k] + a = sum / 2 + } else { + low = Memr[d[1]+k] + high = Memr[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Memr[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + } + n2 = n1 + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + l = Memi[mp1] + s = scales[l] + d1 = max (zero, s * (a + zeros[l])) + s = sqrt (nm[1,l] + d1/nm[2,l] + (d1*nm[3,l])**2) / s + + d1 = Memr[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + if (!keepids) { + s = max (zero, a) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (j=1; j<=n1; j=j+1) { + if (keepids) { + l = Memi[m[j]+k] + s = max (zero, a) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + dp1 = d[j] + k + d1 = Memr[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memr[dp1] + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Memr[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memr[dp1] + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Memr[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + } + + n[i] = n1 + if (!docombine) + if (n1 > 0) + average[i] = sum / n1 + else + average[i] = blank + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_CCDCLIP -- Reject pixels using CCD noise parameters about the median + +procedure ic_mccdclipr (d, m, n, scales, zeros, nm, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model +int nimages # Number of images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, mp1, mp2 +real med, zero +data zero /0.0/ + +include "../icombine.com" + +begin + # There must be at least max (MINCLIP, nkeep+1) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) { + med = Memr[d[n3-1]+k] + med = (med + Memr[d[n3]+k]) / 2. + } else + med = Memr[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (med - Memr[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (Memr[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + if (!keepids) { + s = max (zero, med) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (; nl <= nh; nl = nl + 1) { + if (keepids) { + l = Memi[m[nl]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (med - Memr[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + if (keepids) { + l = Memi[m[nh]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (Memr[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memr[d[l]+k] = Memr[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memr[d[l]+k] = Memr[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_ACCDCLIP -- Reject pixels using CCD noise parameters about the average + +procedure ic_accdclipd (d, m, n, scales, zeros, nm, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model parameters +int nimages # Number of images +int npts # Number of output points per line +double average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +double d1, low, high, sum, a, s, r, zero +data zero /0.0D0/ +pointer sp, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are no pixels go on to the combining. Since the unweighted + # average is computed here possibly skip the combining later. + + # There must be at least max (1, nkeep) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } else if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # There must be at least two pixels for rejection. The initial + # average is the low/high rejected average except in the case of + # just two pixels. The rejections are iterated and the average + # is recomputed. Corrections for scaling may be performed. + # Depending on other flags the image IDs may also need to be adjusted. + + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (MINCLIP-1, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Memd[d[1]+k] + do j = 2, n1 + sum = sum + Memd[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + repeat { + if (n1 == 2) { + sum = Memd[d[1]+k] + sum = sum + Memd[d[2]+k] + a = sum / 2 + } else { + low = Memd[d[1]+k] + high = Memd[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Memd[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + } + n2 = n1 + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + l = Memi[mp1] + s = scales[l] + d1 = max (zero, s * (a + zeros[l])) + s = sqrt (nm[1,l] + d1/nm[2,l] + (d1*nm[3,l])**2) / s + + d1 = Memd[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + if (!keepids) { + s = max (zero, a) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (j=1; j<=n1; j=j+1) { + if (keepids) { + l = Memi[m[j]+k] + s = max (zero, a) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + dp1 = d[j] + k + d1 = Memd[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memd[dp1] + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Memd[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memd[dp1] + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Memd[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + } + + n[i] = n1 + if (!docombine) + if (n1 > 0) + average[i] = sum / n1 + else + average[i] = blank + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_CCDCLIP -- Reject pixels using CCD noise parameters about the median + +procedure ic_mccdclipd (d, m, n, scales, zeros, nm, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model +int nimages # Number of images +int npts # Number of output points per line +double median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, mp1, mp2 +double med, zero +data zero /0.0D0/ + +include "../icombine.com" + +begin + # There must be at least max (MINCLIP, nkeep+1) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) { + med = Memd[d[n3-1]+k] + med = (med + Memd[d[n3]+k]) / 2. + } else + med = Memd[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (med - Memd[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (Memd[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + if (!keepids) { + s = max (zero, med) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (; nl <= nh; nl = nl + 1) { + if (keepids) { + l = Memi[m[nl]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (med - Memd[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + if (keepids) { + l = Memi[m[nh]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (Memd[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memd[d[l]+k] = Memd[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memd[d[l]+k] = Memd[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icgdata.x b/pkg/images/immatch/src/imcombine/src/generic/icgdata.x new file mode 100644 index 00000000..774de63c --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icgdata.x @@ -0,0 +1,1531 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <mach.h> +include "../icombine.h" + + +# IC_GDATA -- Get line of image and mask data and apply threshold and scaling. +# Entirely empty lines are excluded. The data are compacted within the +# input data buffers. If it is required, the connection to the original +# image index is kept in the returned m data pointers. + +procedure ic_gdatas (in, out, dbuf, d, id, n, m, lflag, offsets, scales, + zeros, nimages, npts, v1, v2) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +pointer dbuf[nimages] # Data buffers +pointer d[nimages] # Data pointers +pointer id[nimages] # ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Empty mask flags +int offsets[nimages,ARB] # Image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +int nimages # Number of input images +int npts # NUmber of output points per line +long v1[ARB], v2[ARB] # Line vectors + +short temp +int i, j, k, l, n1, n2, npix, nin, nout, ndim, nused, mtype, xt_imgnls() +real a, b +pointer buf, dp, ip, mp +errchk xt_cpix, xt_imgnls + +short max_pixel +data max_pixel/MAX_SHORT/ + +include "../icombine.com" + +begin + # Get masks and return if there is no data + call ic_mget (in, out, offsets, v1, v2, m, lflag, nimages, mtype) + if (dflag == D_NONE) { + call aclri (n, npts) + return + } + + # Close images which are not needed. + nout = IM_LEN(out[1],1) + ndim = IM_NDIM(out[1]) + if (!project && ndim < 3) { + do i = 1, nimages { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) + call xt_cpix (i) + if (ndim > 1) { + j = v1[2] - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + } + } + + # Get data and fill data buffers. Correct for offsets if needed. + do i = 1, nimages { + if (lflag[i] == D_NONE) + next + if (dbuf[i] == NULL) { + call amovl (v1, v2, IM_MAXDIM) + if (project) + v2[ndim+1] = i + j = xt_imgnls (in[i], i, d[i], v2, v1[2]) + } else { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) { + lflag[i] = D_NONE + next + } + k = 1 + j - offsets[i,1] + v2[1] = k + do l = 2, ndim { + v2[l] = v1[l] - offsets[i,l] + if (v2[l] < 1 || v2[l] > IM_LEN(in[i],l)) { + lflag[i] = D_NONE + break + } + } + if (lflag[i] == D_NONE) + next + if (project) + v2[ndim+1] = i + l = xt_imgnls (in[i], i, buf, v2, v1[2]) + call amovs (Mems[buf+k-1], Mems[dbuf[i]+j], npix) + d[i] = dbuf[i] + } + } + + # Set values to max_pixel if needed. + if (mtype == M_NOVAL) { + do i = 1, nimages { + dp = d[i]; mp = m[i] + if (lflag[i] == D_NONE || dp == NULL) + next + else if (lflag[i] == D_MIX) { + do j = 1, npts { + if (Memi[mp] == 1) + Mems[dp] = max_pixel + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Apply threshold if needed + if (dothresh) { + do i = 1, nimages { + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + a = Mems[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + + lflag[i] = D_MIX + dflag = D_MIX + } + dp = dp + 1 + } + + # Check for completely empty lines + if (lflag[i] == D_MIX) { + lflag[i] = D_NONE + mp = m[i] + do j = 1, npts { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) { + a = Mems[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + dflag = D_MIX + } + } + dp = dp + 1 + mp = mp + 1 + } + + # Check for completely empty lines + lflag[i] = D_NONE + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } + } + + # Apply scaling (avoiding masked pixels which might overflow?) + if (doscale) { + if (dflag == D_ALL) { + do i = 1, nimages { + dp = d[i] + a = scales[i] + b = -zeros[i] + do j = 1, npts { + Mems[dp] = Mems[dp] / a + b + dp = dp + 1 + } + } + } else if (dflag == D_MIX) { + do i = 1, nimages { + a = scales[i] + b = -zeros[i] + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + Mems[dp] = Mems[dp] / a + b + dp = dp + 1 + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) + Mems[dp] = Mems[dp] / a + b + dp = dp + 1 + mp = mp + 1 + } + } + } + } + } + + # Sort pointers to exclude unused images. + # Use the lflag array to keep track of the image index. + + if (dflag == D_ALL) + nused = nimages + else { + nused = 0 + do i = 1, nimages { + if (lflag[i] != D_NONE) { + nused = nused + 1 + d[nused] = d[i] + m[nused] = m[i] + lflag[nused] = i + } + } + do i = nused+1, nimages + d[i] = NULL + if (nused == 0) + dflag = D_NONE + } + + # Compact data to remove bad pixels + # Keep track of the image indices if needed + # If growing mark the end of the included image indices with zero + + if (dflag == D_ALL) { + call amovki (nused, n, npts) + if (keepids) + do i = 1, nimages + call amovki (i, Memi[id[i]], npts) + } else if (dflag == D_NONE) + call aclri (n, npts) + else { + call aclri (n, npts) + if (keepids) { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + ip = id[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + Memi[ip] = l + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Mems[d[k]+j-1] + Mems[d[k]+j-1] = Mems[dp] + Mems[dp] = temp + Memi[ip] = Memi[id[k]+j-1] + Memi[id[k]+j-1] = l + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } else + Memi[ip] = 0 + dp = dp + 1 + ip = ip + 1 + mp = mp + 1 + } + } + if (grow >= 1.) { + do j = 1, npts { + do i = n[j]+1, nimages + Memi[id[i]+j-1] = 0 + } + } + } else { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Mems[d[k]+j-1] + Mems[d[k]+j-1] = Mems[dp] + Mems[dp] = temp + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Sort the pixels and IDs if needed + if (mclip) { + call malloc (dp, nused, TY_SHORT) + if (keepids) { + call malloc (ip, nused, TY_INT) + call ic_2sorts (d, Mems[dp], id, Memi[ip], n, npts) + call mfree (ip, TY_INT) + } else + call ic_sorts (d, Mems[dp], n, npts) + call mfree (dp, TY_SHORT) + } + + # If no good pixels set the number of usable values as -n and + # shift them to lower values. + if (mtype == M_NOVAL) { + if (keepids) { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + ip = id[i] + j - 1 + if (Mems[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) { + Mems[d[k]+j-1] = Mems[dp] + Memi[id[k]+j-1] = Memi[ip] + } + } + } + } + } else { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + if (Mems[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) + Mems[d[k]+j-1] = Mems[dp] + } + } + } + } + } +end + +# IC_GDATA -- Get line of image and mask data and apply threshold and scaling. +# Entirely empty lines are excluded. The data are compacted within the +# input data buffers. If it is required, the connection to the original +# image index is kept in the returned m data pointers. + +procedure ic_gdatai (in, out, dbuf, d, id, n, m, lflag, offsets, scales, + zeros, nimages, npts, v1, v2) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +pointer dbuf[nimages] # Data buffers +pointer d[nimages] # Data pointers +pointer id[nimages] # ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Empty mask flags +int offsets[nimages,ARB] # Image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +int nimages # Number of input images +int npts # NUmber of output points per line +long v1[ARB], v2[ARB] # Line vectors + +int temp +int i, j, k, l, n1, n2, npix, nin, nout, ndim, nused, mtype, xt_imgnli() +real a, b +pointer buf, dp, ip, mp +errchk xt_cpix, xt_imgnli + +int max_pixel +data max_pixel/MAX_INT/ + +include "../icombine.com" + +begin + # Get masks and return if there is no data + call ic_mget (in, out, offsets, v1, v2, m, lflag, nimages, mtype) + if (dflag == D_NONE) { + call aclri (n, npts) + return + } + + # Close images which are not needed. + nout = IM_LEN(out[1],1) + ndim = IM_NDIM(out[1]) + if (!project && ndim < 3) { + do i = 1, nimages { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) + call xt_cpix (i) + if (ndim > 1) { + j = v1[2] - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + } + } + + # Get data and fill data buffers. Correct for offsets if needed. + do i = 1, nimages { + if (lflag[i] == D_NONE) + next + if (dbuf[i] == NULL) { + call amovl (v1, v2, IM_MAXDIM) + if (project) + v2[ndim+1] = i + j = xt_imgnli (in[i], i, d[i], v2, v1[2]) + } else { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) { + lflag[i] = D_NONE + next + } + k = 1 + j - offsets[i,1] + v2[1] = k + do l = 2, ndim { + v2[l] = v1[l] - offsets[i,l] + if (v2[l] < 1 || v2[l] > IM_LEN(in[i],l)) { + lflag[i] = D_NONE + break + } + } + if (lflag[i] == D_NONE) + next + if (project) + v2[ndim+1] = i + l = xt_imgnli (in[i], i, buf, v2, v1[2]) + call amovi (Memi[buf+k-1], Memi[dbuf[i]+j], npix) + d[i] = dbuf[i] + } + } + + # Set values to max_pixel if needed. + if (mtype == M_NOVAL) { + do i = 1, nimages { + dp = d[i]; mp = m[i] + if (lflag[i] == D_NONE || dp == NULL) + next + else if (lflag[i] == D_MIX) { + do j = 1, npts { + if (Memi[mp] == 1) + Memi[dp] = max_pixel + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Apply threshold if needed + if (dothresh) { + do i = 1, nimages { + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + a = Memi[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + + lflag[i] = D_MIX + dflag = D_MIX + } + dp = dp + 1 + } + + # Check for completely empty lines + if (lflag[i] == D_MIX) { + lflag[i] = D_NONE + mp = m[i] + do j = 1, npts { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) { + a = Memi[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + dflag = D_MIX + } + } + dp = dp + 1 + mp = mp + 1 + } + + # Check for completely empty lines + lflag[i] = D_NONE + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } + } + + # Apply scaling (avoiding masked pixels which might overflow?) + if (doscale) { + if (dflag == D_ALL) { + do i = 1, nimages { + dp = d[i] + a = scales[i] + b = -zeros[i] + do j = 1, npts { + Memi[dp] = Memi[dp] / a + b + dp = dp + 1 + } + } + } else if (dflag == D_MIX) { + do i = 1, nimages { + a = scales[i] + b = -zeros[i] + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + Memi[dp] = Memi[dp] / a + b + dp = dp + 1 + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) + Memi[dp] = Memi[dp] / a + b + dp = dp + 1 + mp = mp + 1 + } + } + } + } + } + + # Sort pointers to exclude unused images. + # Use the lflag array to keep track of the image index. + + if (dflag == D_ALL) + nused = nimages + else { + nused = 0 + do i = 1, nimages { + if (lflag[i] != D_NONE) { + nused = nused + 1 + d[nused] = d[i] + m[nused] = m[i] + lflag[nused] = i + } + } + do i = nused+1, nimages + d[i] = NULL + if (nused == 0) + dflag = D_NONE + } + + # Compact data to remove bad pixels + # Keep track of the image indices if needed + # If growing mark the end of the included image indices with zero + + if (dflag == D_ALL) { + call amovki (nused, n, npts) + if (keepids) + do i = 1, nimages + call amovki (i, Memi[id[i]], npts) + } else if (dflag == D_NONE) + call aclri (n, npts) + else { + call aclri (n, npts) + if (keepids) { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + ip = id[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + Memi[ip] = l + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Memi[d[k]+j-1] + Memi[d[k]+j-1] = Memi[dp] + Memi[dp] = temp + Memi[ip] = Memi[id[k]+j-1] + Memi[id[k]+j-1] = l + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } else + Memi[ip] = 0 + dp = dp + 1 + ip = ip + 1 + mp = mp + 1 + } + } + if (grow >= 1.) { + do j = 1, npts { + do i = n[j]+1, nimages + Memi[id[i]+j-1] = 0 + } + } + } else { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Memi[d[k]+j-1] + Memi[d[k]+j-1] = Memi[dp] + Memi[dp] = temp + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Sort the pixels and IDs if needed + if (mclip) { + call malloc (dp, nused, TY_INT) + if (keepids) { + call malloc (ip, nused, TY_INT) + call ic_2sorti (d, Memi[dp], id, Memi[ip], n, npts) + call mfree (ip, TY_INT) + } else + call ic_sorti (d, Memi[dp], n, npts) + call mfree (dp, TY_INT) + } + + # If no good pixels set the number of usable values as -n and + # shift them to lower values. + if (mtype == M_NOVAL) { + if (keepids) { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + ip = id[i] + j - 1 + if (Memi[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) { + Memi[d[k]+j-1] = Memi[dp] + Memi[id[k]+j-1] = Memi[ip] + } + } + } + } + } else { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + if (Memi[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) + Memi[d[k]+j-1] = Memi[dp] + } + } + } + } + } +end + +# IC_GDATA -- Get line of image and mask data and apply threshold and scaling. +# Entirely empty lines are excluded. The data are compacted within the +# input data buffers. If it is required, the connection to the original +# image index is kept in the returned m data pointers. + +procedure ic_gdatar (in, out, dbuf, d, id, n, m, lflag, offsets, scales, + zeros, nimages, npts, v1, v2) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +pointer dbuf[nimages] # Data buffers +pointer d[nimages] # Data pointers +pointer id[nimages] # ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Empty mask flags +int offsets[nimages,ARB] # Image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +int nimages # Number of input images +int npts # NUmber of output points per line +long v1[ARB], v2[ARB] # Line vectors + +real temp +int i, j, k, l, n1, n2, npix, nin, nout, ndim, nused, mtype, xt_imgnlr() +real a, b +pointer buf, dp, ip, mp +errchk xt_cpix, xt_imgnlr + +real max_pixel +data max_pixel/MAX_REAL/ + +include "../icombine.com" + +begin + # Get masks and return if there is no data + call ic_mget (in, out, offsets, v1, v2, m, lflag, nimages, mtype) + if (dflag == D_NONE) { + call aclri (n, npts) + return + } + + # Close images which are not needed. + nout = IM_LEN(out[1],1) + ndim = IM_NDIM(out[1]) + if (!project && ndim < 3) { + do i = 1, nimages { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) + call xt_cpix (i) + if (ndim > 1) { + j = v1[2] - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + } + } + + # Get data and fill data buffers. Correct for offsets if needed. + do i = 1, nimages { + if (lflag[i] == D_NONE) + next + if (dbuf[i] == NULL) { + call amovl (v1, v2, IM_MAXDIM) + if (project) + v2[ndim+1] = i + j = xt_imgnlr (in[i], i, d[i], v2, v1[2]) + } else { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) { + lflag[i] = D_NONE + next + } + k = 1 + j - offsets[i,1] + v2[1] = k + do l = 2, ndim { + v2[l] = v1[l] - offsets[i,l] + if (v2[l] < 1 || v2[l] > IM_LEN(in[i],l)) { + lflag[i] = D_NONE + break + } + } + if (lflag[i] == D_NONE) + next + if (project) + v2[ndim+1] = i + l = xt_imgnlr (in[i], i, buf, v2, v1[2]) + call amovr (Memr[buf+k-1], Memr[dbuf[i]+j], npix) + d[i] = dbuf[i] + } + } + + # Set values to max_pixel if needed. + if (mtype == M_NOVAL) { + do i = 1, nimages { + dp = d[i]; mp = m[i] + if (lflag[i] == D_NONE || dp == NULL) + next + else if (lflag[i] == D_MIX) { + do j = 1, npts { + if (Memi[mp] == 1) + Memr[dp] = max_pixel + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Apply threshold if needed + if (dothresh) { + do i = 1, nimages { + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + a = Memr[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + + lflag[i] = D_MIX + dflag = D_MIX + } + dp = dp + 1 + } + + # Check for completely empty lines + if (lflag[i] == D_MIX) { + lflag[i] = D_NONE + mp = m[i] + do j = 1, npts { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) { + a = Memr[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + dflag = D_MIX + } + } + dp = dp + 1 + mp = mp + 1 + } + + # Check for completely empty lines + lflag[i] = D_NONE + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } + } + + # Apply scaling (avoiding masked pixels which might overflow?) + if (doscale) { + if (dflag == D_ALL) { + do i = 1, nimages { + dp = d[i] + a = scales[i] + b = -zeros[i] + do j = 1, npts { + Memr[dp] = Memr[dp] / a + b + dp = dp + 1 + } + } + } else if (dflag == D_MIX) { + do i = 1, nimages { + a = scales[i] + b = -zeros[i] + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + Memr[dp] = Memr[dp] / a + b + dp = dp + 1 + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) + Memr[dp] = Memr[dp] / a + b + dp = dp + 1 + mp = mp + 1 + } + } + } + } + } + + # Sort pointers to exclude unused images. + # Use the lflag array to keep track of the image index. + + if (dflag == D_ALL) + nused = nimages + else { + nused = 0 + do i = 1, nimages { + if (lflag[i] != D_NONE) { + nused = nused + 1 + d[nused] = d[i] + m[nused] = m[i] + lflag[nused] = i + } + } + do i = nused+1, nimages + d[i] = NULL + if (nused == 0) + dflag = D_NONE + } + + # Compact data to remove bad pixels + # Keep track of the image indices if needed + # If growing mark the end of the included image indices with zero + + if (dflag == D_ALL) { + call amovki (nused, n, npts) + if (keepids) + do i = 1, nimages + call amovki (i, Memi[id[i]], npts) + } else if (dflag == D_NONE) + call aclri (n, npts) + else { + call aclri (n, npts) + if (keepids) { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + ip = id[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + Memi[ip] = l + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Memr[d[k]+j-1] + Memr[d[k]+j-1] = Memr[dp] + Memr[dp] = temp + Memi[ip] = Memi[id[k]+j-1] + Memi[id[k]+j-1] = l + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } else + Memi[ip] = 0 + dp = dp + 1 + ip = ip + 1 + mp = mp + 1 + } + } + if (grow >= 1.) { + do j = 1, npts { + do i = n[j]+1, nimages + Memi[id[i]+j-1] = 0 + } + } + } else { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Memr[d[k]+j-1] + Memr[d[k]+j-1] = Memr[dp] + Memr[dp] = temp + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Sort the pixels and IDs if needed + if (mclip) { + call malloc (dp, nused, TY_REAL) + if (keepids) { + call malloc (ip, nused, TY_INT) + call ic_2sortr (d, Memr[dp], id, Memi[ip], n, npts) + call mfree (ip, TY_INT) + } else + call ic_sortr (d, Memr[dp], n, npts) + call mfree (dp, TY_REAL) + } + + # If no good pixels set the number of usable values as -n and + # shift them to lower values. + if (mtype == M_NOVAL) { + if (keepids) { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + ip = id[i] + j - 1 + if (Memr[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) { + Memr[d[k]+j-1] = Memr[dp] + Memi[id[k]+j-1] = Memi[ip] + } + } + } + } + } else { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + if (Memr[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) + Memr[d[k]+j-1] = Memr[dp] + } + } + } + } + } +end + +# IC_GDATA -- Get line of image and mask data and apply threshold and scaling. +# Entirely empty lines are excluded. The data are compacted within the +# input data buffers. If it is required, the connection to the original +# image index is kept in the returned m data pointers. + +procedure ic_gdatad (in, out, dbuf, d, id, n, m, lflag, offsets, scales, + zeros, nimages, npts, v1, v2) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +pointer dbuf[nimages] # Data buffers +pointer d[nimages] # Data pointers +pointer id[nimages] # ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Empty mask flags +int offsets[nimages,ARB] # Image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +int nimages # Number of input images +int npts # NUmber of output points per line +long v1[ARB], v2[ARB] # Line vectors + +double temp +int i, j, k, l, n1, n2, npix, nin, nout, ndim, nused, mtype, xt_imgnld() +real a, b +pointer buf, dp, ip, mp +errchk xt_cpix, xt_imgnld + +double max_pixel +data max_pixel/MAX_DOUBLE/ + +include "../icombine.com" + +begin + # Get masks and return if there is no data + call ic_mget (in, out, offsets, v1, v2, m, lflag, nimages, mtype) + if (dflag == D_NONE) { + call aclri (n, npts) + return + } + + # Close images which are not needed. + nout = IM_LEN(out[1],1) + ndim = IM_NDIM(out[1]) + if (!project && ndim < 3) { + do i = 1, nimages { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) + call xt_cpix (i) + if (ndim > 1) { + j = v1[2] - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + } + } + + # Get data and fill data buffers. Correct for offsets if needed. + do i = 1, nimages { + if (lflag[i] == D_NONE) + next + if (dbuf[i] == NULL) { + call amovl (v1, v2, IM_MAXDIM) + if (project) + v2[ndim+1] = i + j = xt_imgnld (in[i], i, d[i], v2, v1[2]) + } else { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) { + lflag[i] = D_NONE + next + } + k = 1 + j - offsets[i,1] + v2[1] = k + do l = 2, ndim { + v2[l] = v1[l] - offsets[i,l] + if (v2[l] < 1 || v2[l] > IM_LEN(in[i],l)) { + lflag[i] = D_NONE + break + } + } + if (lflag[i] == D_NONE) + next + if (project) + v2[ndim+1] = i + l = xt_imgnld (in[i], i, buf, v2, v1[2]) + call amovd (Memd[buf+k-1], Memd[dbuf[i]+j], npix) + d[i] = dbuf[i] + } + } + + # Set values to max_pixel if needed. + if (mtype == M_NOVAL) { + do i = 1, nimages { + dp = d[i]; mp = m[i] + if (lflag[i] == D_NONE || dp == NULL) + next + else if (lflag[i] == D_MIX) { + do j = 1, npts { + if (Memi[mp] == 1) + Memd[dp] = max_pixel + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Apply threshold if needed + if (dothresh) { + do i = 1, nimages { + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + a = Memd[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + + lflag[i] = D_MIX + dflag = D_MIX + } + dp = dp + 1 + } + + # Check for completely empty lines + if (lflag[i] == D_MIX) { + lflag[i] = D_NONE + mp = m[i] + do j = 1, npts { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) { + a = Memd[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + dflag = D_MIX + } + } + dp = dp + 1 + mp = mp + 1 + } + + # Check for completely empty lines + lflag[i] = D_NONE + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } + } + + # Apply scaling (avoiding masked pixels which might overflow?) + if (doscale) { + if (dflag == D_ALL) { + do i = 1, nimages { + dp = d[i] + a = scales[i] + b = -zeros[i] + do j = 1, npts { + Memd[dp] = Memd[dp] / a + b + dp = dp + 1 + } + } + } else if (dflag == D_MIX) { + do i = 1, nimages { + a = scales[i] + b = -zeros[i] + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + Memd[dp] = Memd[dp] / a + b + dp = dp + 1 + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) + Memd[dp] = Memd[dp] / a + b + dp = dp + 1 + mp = mp + 1 + } + } + } + } + } + + # Sort pointers to exclude unused images. + # Use the lflag array to keep track of the image index. + + if (dflag == D_ALL) + nused = nimages + else { + nused = 0 + do i = 1, nimages { + if (lflag[i] != D_NONE) { + nused = nused + 1 + d[nused] = d[i] + m[nused] = m[i] + lflag[nused] = i + } + } + do i = nused+1, nimages + d[i] = NULL + if (nused == 0) + dflag = D_NONE + } + + # Compact data to remove bad pixels + # Keep track of the image indices if needed + # If growing mark the end of the included image indices with zero + + if (dflag == D_ALL) { + call amovki (nused, n, npts) + if (keepids) + do i = 1, nimages + call amovki (i, Memi[id[i]], npts) + } else if (dflag == D_NONE) + call aclri (n, npts) + else { + call aclri (n, npts) + if (keepids) { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + ip = id[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + Memi[ip] = l + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Memd[d[k]+j-1] + Memd[d[k]+j-1] = Memd[dp] + Memd[dp] = temp + Memi[ip] = Memi[id[k]+j-1] + Memi[id[k]+j-1] = l + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } else + Memi[ip] = 0 + dp = dp + 1 + ip = ip + 1 + mp = mp + 1 + } + } + if (grow >= 1.) { + do j = 1, npts { + do i = n[j]+1, nimages + Memi[id[i]+j-1] = 0 + } + } + } else { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Memd[d[k]+j-1] + Memd[d[k]+j-1] = Memd[dp] + Memd[dp] = temp + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Sort the pixels and IDs if needed + if (mclip) { + call malloc (dp, nused, TY_DOUBLE) + if (keepids) { + call malloc (ip, nused, TY_INT) + call ic_2sortd (d, Memd[dp], id, Memi[ip], n, npts) + call mfree (ip, TY_INT) + } else + call ic_sortd (d, Memd[dp], n, npts) + call mfree (dp, TY_DOUBLE) + } + + # If no good pixels set the number of usable values as -n and + # shift them to lower values. + if (mtype == M_NOVAL) { + if (keepids) { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + ip = id[i] + j - 1 + if (Memd[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) { + Memd[d[k]+j-1] = Memd[dp] + Memi[id[k]+j-1] = Memi[ip] + } + } + } + } + } else { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + if (Memd[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) + Memd[d[k]+j-1] = Memd[dp] + } + } + } + } + } +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icgrow.x b/pkg/images/immatch/src/imcombine/src/generic/icgrow.x new file mode 100644 index 00000000..1ccb7885 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icgrow.x @@ -0,0 +1,263 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <pmset.h> +include "../icombine.h" + +# IC_GROW -- Mark neigbors of rejected pixels. +# The rejected pixels (original plus grown) are saved in pixel masks. + +procedure ic_grow (out, v, m, n, buf, nimages, npts, pms) + +pointer out # Output image pointer +long v[ARB] # Output vector +pointer m[ARB] # Image id pointers +int n[ARB] # Number of good pixels +int buf[npts,nimages] # Working buffer +int nimages # Number of images +int npts # Number of output points per line +pointer pms # Pointer to array of pixel masks + +int i, j, k, l, line, nl, rop, igrow, nset, ncompress, or() +real grow2, i2 +pointer mp, pm, pm_newmask() +errchk pm_newmask() + +include "../icombine.com" + +begin + if (dflag == D_NONE || grow == 0.) + return + + line = v[2] + nl = IM_LEN(out,2) + rop = or (PIX_SRC, PIX_DST) + + igrow = grow + grow2 = grow**2 + do l = 0, igrow { + i2 = grow2 - l * l + call aclri (buf, npts*nimages) + nset = 0 + do j = 1, npts { + do k = n[j]+1, nimages { + mp = Memi[m[k]+j-1] + if (mp == 0) + next + do i = 0, igrow { + if (i**2 > i2) + next + if (j > i) + buf[j-i,mp] = 1 + if (j+i <= npts) + buf[j+i,mp] = 1 + nset = nset + 1 + } + } + } + if (nset == 0) + return + + if (pms == NULL) { + call malloc (pms, nimages, TY_POINTER) + do i = 1, nimages + Memi[pms+i-1] = pm_newmask (out, 1) + ncompress = 0 + } + do i = 1, nimages { + pm = Memi[pms+i-1] + v[2] = line - l + if (v[2] > 0) + call pmplpi (pm, v, buf[1,i], 1, npts, rop) + if (l > 0) { + v[2] = line + l + if (v[2] <= nl) + call pmplpi (pm, v, buf[1,i], 1, npts, rop) + } + } + } + v[2] = line + + if (ncompress > 10) { + do i = 1, nimages { + pm = Memi[pms+i-1] + call pm_compress (pm) + } + ncompress = 0 + } else + ncompress = ncompress + 1 +end + + + +# IC_GROW$T -- Reject pixels. + +procedure ic_grows (v, d, m, n, buf, nimages, npts, pms) + +long v[ARB] # Output vector +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[ARB] # Number of good pixels +int buf[ARB] # Buffer of npts +int nimages # Number of images +int npts # Number of output points per line +pointer pms # Pointer to array of pixel masks + +int i, j, k +pointer pm +bool pl_linenotempty() + +include "../icombine.com" + +begin + do k = 1, nimages { + pm = Memi[pms+k-1] + if (!pl_linenotempty (pm, v)) + next + call pmglpi (pm, v, buf, 1, npts, PIX_SRC) + do i = 1, npts { + if (buf[i] == 0) + next + for (j = 1; j <= n[i]; j = j + 1) { + if (Memi[m[j]+i-1] == k) { + if (j < n[i]) { + Mems[d[j]+i-1] = Mems[d[n[i]]+i-1] + Memi[m[j]+i-1] = Memi[m[n[i]]+i-1] + } + n[i] = n[i] - 1 + dflag = D_MIX + break + } + } + } + } +end + +# IC_GROW$T -- Reject pixels. + +procedure ic_growi (v, d, m, n, buf, nimages, npts, pms) + +long v[ARB] # Output vector +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[ARB] # Number of good pixels +int buf[ARB] # Buffer of npts +int nimages # Number of images +int npts # Number of output points per line +pointer pms # Pointer to array of pixel masks + +int i, j, k +pointer pm +bool pl_linenotempty() + +include "../icombine.com" + +begin + do k = 1, nimages { + pm = Memi[pms+k-1] + if (!pl_linenotempty (pm, v)) + next + call pmglpi (pm, v, buf, 1, npts, PIX_SRC) + do i = 1, npts { + if (buf[i] == 0) + next + for (j = 1; j <= n[i]; j = j + 1) { + if (Memi[m[j]+i-1] == k) { + if (j < n[i]) { + Memi[d[j]+i-1] = Memi[d[n[i]]+i-1] + Memi[m[j]+i-1] = Memi[m[n[i]]+i-1] + } + n[i] = n[i] - 1 + dflag = D_MIX + break + } + } + } + } +end + +# IC_GROW$T -- Reject pixels. + +procedure ic_growr (v, d, m, n, buf, nimages, npts, pms) + +long v[ARB] # Output vector +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[ARB] # Number of good pixels +int buf[ARB] # Buffer of npts +int nimages # Number of images +int npts # Number of output points per line +pointer pms # Pointer to array of pixel masks + +int i, j, k +pointer pm +bool pl_linenotempty() + +include "../icombine.com" + +begin + do k = 1, nimages { + pm = Memi[pms+k-1] + if (!pl_linenotempty (pm, v)) + next + call pmglpi (pm, v, buf, 1, npts, PIX_SRC) + do i = 1, npts { + if (buf[i] == 0) + next + for (j = 1; j <= n[i]; j = j + 1) { + if (Memi[m[j]+i-1] == k) { + if (j < n[i]) { + Memr[d[j]+i-1] = Memr[d[n[i]]+i-1] + Memi[m[j]+i-1] = Memi[m[n[i]]+i-1] + } + n[i] = n[i] - 1 + dflag = D_MIX + break + } + } + } + } +end + +# IC_GROW$T -- Reject pixels. + +procedure ic_growd (v, d, m, n, buf, nimages, npts, pms) + +long v[ARB] # Output vector +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[ARB] # Number of good pixels +int buf[ARB] # Buffer of npts +int nimages # Number of images +int npts # Number of output points per line +pointer pms # Pointer to array of pixel masks + +int i, j, k +pointer pm +bool pl_linenotempty() + +include "../icombine.com" + +begin + do k = 1, nimages { + pm = Memi[pms+k-1] + if (!pl_linenotempty (pm, v)) + next + call pmglpi (pm, v, buf, 1, npts, PIX_SRC) + do i = 1, npts { + if (buf[i] == 0) + next + for (j = 1; j <= n[i]; j = j + 1) { + if (Memi[m[j]+i-1] == k) { + if (j < n[i]) { + Memd[d[j]+i-1] = Memd[d[n[i]]+i-1] + Memi[m[j]+i-1] = Memi[m[n[i]]+i-1] + } + n[i] = n[i] - 1 + dflag = D_MIX + break + } + } + } + } +end diff --git a/pkg/images/immatch/src/imcombine/src/generic/icmedian.x b/pkg/images/immatch/src/imcombine/src/generic/icmedian.x new file mode 100644 index 00000000..c482454b --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icmedian.x @@ -0,0 +1,753 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + + +# IC_MEDIAN -- Median of lines + +procedure ic_medians (d, n, npts, doblank, median) + +pointer d[ARB] # Input data line pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line +int doblank # Set blank values? +real median[npts] # Median + +int i, j, k, j1, j2, n1, lo, up, lo1, up1 +bool even +real val1, val2, val3 +short temp, wtemp + +include "../icombine.com" + +begin + # If no data return after possibly setting blank values. + if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + median[i]= blank + } + return + } + + # If the data were previously sorted then directly compute the median. + if (mclip) { + if (dflag == D_ALL) { + n1 = n[1] + j1 = n1 / 2 + 1 + j2 = n1 / 2 + even = (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) + do i = 1, npts { + k = i - 1 + if (even) { + val1 = Mems[d[j1]+k] + val2 = Mems[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Mems[d[j1]+k] + } + return + } else { + # Check for negative n values. If found then there are + # pixels with no good values but with values we want to + # use as a substitute median. In this case ignore that + # the good pixels have been sorted. + do i = 1, npts { + if (n[i] < 0) + break + } + + if (n[i] >= 0) { + do i = 1, npts { + k = i - 1 + n1 = n[i] + if (n1 > 0) { + j1 = n1 / 2 + 1 + if (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) { + j2 = n1 / 2 + val1 = Mems[d[j1]+k] + val2 = Mems[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Mems[d[j1]+k] + } else if (doblank == YES) + median[i] = blank + } + return + } + } + } + + # Compute the median. + do i = 1, npts { + k = i - 1 + n1 = abs(n[i]) + + # If there are more than 3 points use Wirth algorithm. This + # is the same as vops$amed.gx except for an even number of + # points it selects the middle two and averages. + if (n1 > 3) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Mems[d[j]+k]; lo1 = lo; up1 = up + + repeat { + while (Mems[d[lo1]+k] < temp) + lo1 = lo1 + 1 + while (temp < Mems[d[up1]+k]) + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Mems[d[lo1]+k] + Mems[d[lo1]+k] = Mems[d[up1]+k] + Mems[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + + median[i] = Mems[d[j]+k] + + if (mod(n1,2)==0 && (medtype==MEDAVG || n1 > 2)) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)+1) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Mems[d[j]+k]; lo1 = lo; up1 = up + + repeat { + while (Mems[d[lo1]+k] < temp) + lo1 = lo1 + 1 + while (temp < Mems[d[up1]+k]) + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Mems[d[lo1]+k] + Mems[d[lo1]+k] = Mems[d[up1]+k] + Mems[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + median[i] = (median[i] + Mems[d[j]+k]) / 2 + } + + # If 3 points find the median directly. + } else if (n1 == 3) { + val1 = Mems[d[1]+k] + val2 = Mems[d[2]+k] + val3 = Mems[d[3]+k] + if (val1 < val2) { + if (val2 < val3) # abc + median[i] = val2 + else if (val1 < val3) # acb + median[i] = val3 + else # cab + median[i] = val1 + } else { + if (val2 > val3) # cba + median[i] = val2 + else if (val1 > val3) # bca + median[i] = val3 + else # bac + median[i] = val1 + } + + # If 2 points average. + } else if (n1 == 2) { + val1 = Mems[d[1]+k] + val2 = Mems[d[2]+k] + if (medtype == MEDAVG) + median[i] = (val1 + val2) / 2 + else + median[i] = min (val1, val2) + + # If 1 point return the value. + } else if (n1 == 1) + median[i] = Mems[d[1]+k] + + # If no points return with a possibly blank value. + else if (doblank == YES) + median[i] = blank + } +end + +# IC_MEDIAN -- Median of lines + +procedure ic_mediani (d, n, npts, doblank, median) + +pointer d[ARB] # Input data line pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line +int doblank # Set blank values? +real median[npts] # Median + +int i, j, k, j1, j2, n1, lo, up, lo1, up1 +bool even +real val1, val2, val3 +int temp, wtemp + +include "../icombine.com" + +begin + # If no data return after possibly setting blank values. + if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + median[i]= blank + } + return + } + + # If the data were previously sorted then directly compute the median. + if (mclip) { + if (dflag == D_ALL) { + n1 = n[1] + j1 = n1 / 2 + 1 + j2 = n1 / 2 + even = (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) + do i = 1, npts { + k = i - 1 + if (even) { + val1 = Memi[d[j1]+k] + val2 = Memi[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Memi[d[j1]+k] + } + return + } else { + # Check for negative n values. If found then there are + # pixels with no good values but with values we want to + # use as a substitute median. In this case ignore that + # the good pixels have been sorted. + do i = 1, npts { + if (n[i] < 0) + break + } + + if (n[i] >= 0) { + do i = 1, npts { + k = i - 1 + n1 = n[i] + if (n1 > 0) { + j1 = n1 / 2 + 1 + if (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) { + j2 = n1 / 2 + val1 = Memi[d[j1]+k] + val2 = Memi[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Memi[d[j1]+k] + } else if (doblank == YES) + median[i] = blank + } + return + } + } + } + + # Compute the median. + do i = 1, npts { + k = i - 1 + n1 = abs(n[i]) + + # If there are more than 3 points use Wirth algorithm. This + # is the same as vops$amed.gx except for an even number of + # points it selects the middle two and averages. + if (n1 > 3) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Memi[d[j]+k]; lo1 = lo; up1 = up + + repeat { + while (Memi[d[lo1]+k] < temp) + lo1 = lo1 + 1 + while (temp < Memi[d[up1]+k]) + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Memi[d[lo1]+k] + Memi[d[lo1]+k] = Memi[d[up1]+k] + Memi[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + + median[i] = Memi[d[j]+k] + + if (mod(n1,2)==0 && (medtype==MEDAVG || n1 > 2)) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)+1) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Memi[d[j]+k]; lo1 = lo; up1 = up + + repeat { + while (Memi[d[lo1]+k] < temp) + lo1 = lo1 + 1 + while (temp < Memi[d[up1]+k]) + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Memi[d[lo1]+k] + Memi[d[lo1]+k] = Memi[d[up1]+k] + Memi[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + median[i] = (median[i] + Memi[d[j]+k]) / 2 + } + + # If 3 points find the median directly. + } else if (n1 == 3) { + val1 = Memi[d[1]+k] + val2 = Memi[d[2]+k] + val3 = Memi[d[3]+k] + if (val1 < val2) { + if (val2 < val3) # abc + median[i] = val2 + else if (val1 < val3) # acb + median[i] = val3 + else # cab + median[i] = val1 + } else { + if (val2 > val3) # cba + median[i] = val2 + else if (val1 > val3) # bca + median[i] = val3 + else # bac + median[i] = val1 + } + + # If 2 points average. + } else if (n1 == 2) { + val1 = Memi[d[1]+k] + val2 = Memi[d[2]+k] + if (medtype == MEDAVG) + median[i] = (val1 + val2) / 2 + else + median[i] = min (val1, val2) + + # If 1 point return the value. + } else if (n1 == 1) + median[i] = Memi[d[1]+k] + + # If no points return with a possibly blank value. + else if (doblank == YES) + median[i] = blank + } +end + +# IC_MEDIAN -- Median of lines + +procedure ic_medianr (d, n, npts, doblank, median) + +pointer d[ARB] # Input data line pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line +int doblank # Set blank values? +real median[npts] # Median + +int i, j, k, j1, j2, n1, lo, up, lo1, up1 +bool even +real val1, val2, val3 +real temp, wtemp + +include "../icombine.com" + +begin + # If no data return after possibly setting blank values. + if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + median[i]= blank + } + return + } + + # If the data were previously sorted then directly compute the median. + if (mclip) { + if (dflag == D_ALL) { + n1 = n[1] + j1 = n1 / 2 + 1 + j2 = n1 / 2 + even = (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) + do i = 1, npts { + k = i - 1 + if (even) { + val1 = Memr[d[j1]+k] + val2 = Memr[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Memr[d[j1]+k] + } + return + } else { + # Check for negative n values. If found then there are + # pixels with no good values but with values we want to + # use as a substitute median. In this case ignore that + # the good pixels have been sorted. + do i = 1, npts { + if (n[i] < 0) + break + } + + if (n[i] >= 0) { + do i = 1, npts { + k = i - 1 + n1 = n[i] + if (n1 > 0) { + j1 = n1 / 2 + 1 + if (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) { + j2 = n1 / 2 + val1 = Memr[d[j1]+k] + val2 = Memr[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Memr[d[j1]+k] + } else if (doblank == YES) + median[i] = blank + } + return + } + } + } + + # Compute the median. + do i = 1, npts { + k = i - 1 + n1 = abs(n[i]) + + # If there are more than 3 points use Wirth algorithm. This + # is the same as vops$amed.gx except for an even number of + # points it selects the middle two and averages. + if (n1 > 3) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Memr[d[j]+k]; lo1 = lo; up1 = up + + repeat { + while (Memr[d[lo1]+k] < temp) + lo1 = lo1 + 1 + while (temp < Memr[d[up1]+k]) + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Memr[d[lo1]+k] + Memr[d[lo1]+k] = Memr[d[up1]+k] + Memr[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + + median[i] = Memr[d[j]+k] + + if (mod(n1,2)==0 && (medtype==MEDAVG || n1 > 2)) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)+1) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Memr[d[j]+k]; lo1 = lo; up1 = up + + repeat { + while (Memr[d[lo1]+k] < temp) + lo1 = lo1 + 1 + while (temp < Memr[d[up1]+k]) + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Memr[d[lo1]+k] + Memr[d[lo1]+k] = Memr[d[up1]+k] + Memr[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + median[i] = (median[i] + Memr[d[j]+k]) / 2 + } + + # If 3 points find the median directly. + } else if (n1 == 3) { + val1 = Memr[d[1]+k] + val2 = Memr[d[2]+k] + val3 = Memr[d[3]+k] + if (val1 < val2) { + if (val2 < val3) # abc + median[i] = val2 + else if (val1 < val3) # acb + median[i] = val3 + else # cab + median[i] = val1 + } else { + if (val2 > val3) # cba + median[i] = val2 + else if (val1 > val3) # bca + median[i] = val3 + else # bac + median[i] = val1 + } + + # If 2 points average. + } else if (n1 == 2) { + val1 = Memr[d[1]+k] + val2 = Memr[d[2]+k] + if (medtype == MEDAVG) + median[i] = (val1 + val2) / 2 + else + median[i] = min (val1, val2) + + # If 1 point return the value. + } else if (n1 == 1) + median[i] = Memr[d[1]+k] + + # If no points return with a possibly blank value. + else if (doblank == YES) + median[i] = blank + } +end + +# IC_MEDIAN -- Median of lines + +procedure ic_mediand (d, n, npts, doblank, median) + +pointer d[ARB] # Input data line pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line +int doblank # Set blank values? +double median[npts] # Median + +int i, j, k, j1, j2, n1, lo, up, lo1, up1 +bool even +double val1, val2, val3 +double temp, wtemp + +include "../icombine.com" + +begin + # If no data return after possibly setting blank values. + if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + median[i]= blank + } + return + } + + # If the data were previously sorted then directly compute the median. + if (mclip) { + if (dflag == D_ALL) { + n1 = n[1] + j1 = n1 / 2 + 1 + j2 = n1 / 2 + even = (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) + do i = 1, npts { + k = i - 1 + if (even) { + val1 = Memd[d[j1]+k] + val2 = Memd[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Memd[d[j1]+k] + } + return + } else { + # Check for negative n values. If found then there are + # pixels with no good values but with values we want to + # use as a substitute median. In this case ignore that + # the good pixels have been sorted. + do i = 1, npts { + if (n[i] < 0) + break + } + + if (n[i] >= 0) { + do i = 1, npts { + k = i - 1 + n1 = n[i] + if (n1 > 0) { + j1 = n1 / 2 + 1 + if (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) { + j2 = n1 / 2 + val1 = Memd[d[j1]+k] + val2 = Memd[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Memd[d[j1]+k] + } else if (doblank == YES) + median[i] = blank + } + return + } + } + } + + # Compute the median. + do i = 1, npts { + k = i - 1 + n1 = abs(n[i]) + + # If there are more than 3 points use Wirth algorithm. This + # is the same as vops$amed.gx except for an even number of + # points it selects the middle two and averages. + if (n1 > 3) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Memd[d[j]+k]; lo1 = lo; up1 = up + + repeat { + while (Memd[d[lo1]+k] < temp) + lo1 = lo1 + 1 + while (temp < Memd[d[up1]+k]) + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Memd[d[lo1]+k] + Memd[d[lo1]+k] = Memd[d[up1]+k] + Memd[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + + median[i] = Memd[d[j]+k] + + if (mod(n1,2)==0 && (medtype==MEDAVG || n1 > 2)) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)+1) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Memd[d[j]+k]; lo1 = lo; up1 = up + + repeat { + while (Memd[d[lo1]+k] < temp) + lo1 = lo1 + 1 + while (temp < Memd[d[up1]+k]) + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Memd[d[lo1]+k] + Memd[d[lo1]+k] = Memd[d[up1]+k] + Memd[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + median[i] = (median[i] + Memd[d[j]+k]) / 2 + } + + # If 3 points find the median directly. + } else if (n1 == 3) { + val1 = Memd[d[1]+k] + val2 = Memd[d[2]+k] + val3 = Memd[d[3]+k] + if (val1 < val2) { + if (val2 < val3) # abc + median[i] = val2 + else if (val1 < val3) # acb + median[i] = val3 + else # cab + median[i] = val1 + } else { + if (val2 > val3) # cba + median[i] = val2 + else if (val1 > val3) # bca + median[i] = val3 + else # bac + median[i] = val1 + } + + # If 2 points average. + } else if (n1 == 2) { + val1 = Memd[d[1]+k] + val2 = Memd[d[2]+k] + if (medtype == MEDAVG) + median[i] = (val1 + val2) / 2 + else + median[i] = min (val1, val2) + + # If 1 point return the value. + } else if (n1 == 1) + median[i] = Memd[d[1]+k] + + # If no points return with a possibly blank value. + else if (doblank == YES) + median[i] = blank + } +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icmm.x b/pkg/images/immatch/src/imcombine/src/generic/icmm.x new file mode 100644 index 00000000..9c8274c8 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icmm.x @@ -0,0 +1,645 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + + +# IC_MM -- Reject a specified number of high and low pixels + +procedure ic_mms (d, m, n, npts) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line + +int n1, ncombine, npairs, nlow, nhigh, np +int i, i1, j, jmax, jmin +pointer k, kmax, kmin +short d1, d2, dmin, dmax + +include "../icombine.com" + +begin + if (dflag == D_NONE) + return + + if (dflag == D_ALL) { + n1 = max (0, n[1]) + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = n1 - nlow - nhigh + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + do i = 1, npts { + i1 = i - 1 + n1 = max (0, n[i]) + if (dflag == D_MIX) { + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = max (ncombine, n1 - nlow - nhigh) + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + # Reject the npairs low and high points. + do np = 1, npairs { + k = d[1] + i1 + d1 = Mems[k] + dmax = d1; dmin = d1; jmax = 1; jmin = 1; kmax = k; kmin = k + do j = 2, n1 { + d2 = d1 + k = d[j] + i1 + d1 = Mems[k] + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } else if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + j = n1 - 1 + if (keepids) { + if (jmax < j) { + if (jmin != j) { + Mems[kmax] = d2 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } else { + Mems[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } + if (jmin < j) { + if (jmax != n1) { + Mems[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } else { + Mems[kmin] = d2 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } + } + } else { + if (jmax < j) { + if (jmin != j) + Mems[kmax] = d2 + else + Mems[kmax] = d1 + } + if (jmin < j) { + if (jmax != n1) + Mems[kmin] = d1 + else + Mems[kmin] = d2 + } + } + n1 = n1 - 2 + } + + # Reject the excess low points. + do np = 1, nlow { + k = d[1] + i1 + d1 = Mems[k] + dmin = d1; jmin = 1; kmin = k + do j = 2, n1 { + k = d[j] + i1 + d1 = Mems[k] + if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + if (keepids) { + if (jmin < n1) { + Mems[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmin < n1) + Mems[kmin] = d1 + } + n1 = n1 - 1 + } + + # Reject the excess high points. + do np = 1, nhigh { + k = d[1] + i1 + d1 = Mems[k] + dmax = d1; jmax = 1; kmax = k + do j = 2, n1 { + k = d[j] + i1 + d1 = Mems[k] + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } + } + if (keepids) { + if (jmax < n1) { + Mems[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmax < n1) + Mems[kmax] = d1 + } + n1 = n1 - 1 + } + n[i] = n1 + } + + if (dflag == D_ALL && npairs + nlow + nhigh > 0) + dflag = D_MIX +end + +# IC_MM -- Reject a specified number of high and low pixels + +procedure ic_mmi (d, m, n, npts) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line + +int n1, ncombine, npairs, nlow, nhigh, np +int i, i1, j, jmax, jmin +pointer k, kmax, kmin +int d1, d2, dmin, dmax + +include "../icombine.com" + +begin + if (dflag == D_NONE) + return + + if (dflag == D_ALL) { + n1 = max (0, n[1]) + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = n1 - nlow - nhigh + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + do i = 1, npts { + i1 = i - 1 + n1 = max (0, n[i]) + if (dflag == D_MIX) { + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = max (ncombine, n1 - nlow - nhigh) + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + # Reject the npairs low and high points. + do np = 1, npairs { + k = d[1] + i1 + d1 = Memi[k] + dmax = d1; dmin = d1; jmax = 1; jmin = 1; kmax = k; kmin = k + do j = 2, n1 { + d2 = d1 + k = d[j] + i1 + d1 = Memi[k] + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } else if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + j = n1 - 1 + if (keepids) { + if (jmax < j) { + if (jmin != j) { + Memi[kmax] = d2 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } else { + Memi[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } + if (jmin < j) { + if (jmax != n1) { + Memi[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } else { + Memi[kmin] = d2 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } + } + } else { + if (jmax < j) { + if (jmin != j) + Memi[kmax] = d2 + else + Memi[kmax] = d1 + } + if (jmin < j) { + if (jmax != n1) + Memi[kmin] = d1 + else + Memi[kmin] = d2 + } + } + n1 = n1 - 2 + } + + # Reject the excess low points. + do np = 1, nlow { + k = d[1] + i1 + d1 = Memi[k] + dmin = d1; jmin = 1; kmin = k + do j = 2, n1 { + k = d[j] + i1 + d1 = Memi[k] + if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + if (keepids) { + if (jmin < n1) { + Memi[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmin < n1) + Memi[kmin] = d1 + } + n1 = n1 - 1 + } + + # Reject the excess high points. + do np = 1, nhigh { + k = d[1] + i1 + d1 = Memi[k] + dmax = d1; jmax = 1; kmax = k + do j = 2, n1 { + k = d[j] + i1 + d1 = Memi[k] + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } + } + if (keepids) { + if (jmax < n1) { + Memi[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmax < n1) + Memi[kmax] = d1 + } + n1 = n1 - 1 + } + n[i] = n1 + } + + if (dflag == D_ALL && npairs + nlow + nhigh > 0) + dflag = D_MIX +end + +# IC_MM -- Reject a specified number of high and low pixels + +procedure ic_mmr (d, m, n, npts) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line + +int n1, ncombine, npairs, nlow, nhigh, np +int i, i1, j, jmax, jmin +pointer k, kmax, kmin +real d1, d2, dmin, dmax + +include "../icombine.com" + +begin + if (dflag == D_NONE) + return + + if (dflag == D_ALL) { + n1 = max (0, n[1]) + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = n1 - nlow - nhigh + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + do i = 1, npts { + i1 = i - 1 + n1 = max (0, n[i]) + if (dflag == D_MIX) { + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = max (ncombine, n1 - nlow - nhigh) + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + # Reject the npairs low and high points. + do np = 1, npairs { + k = d[1] + i1 + d1 = Memr[k] + dmax = d1; dmin = d1; jmax = 1; jmin = 1; kmax = k; kmin = k + do j = 2, n1 { + d2 = d1 + k = d[j] + i1 + d1 = Memr[k] + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } else if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + j = n1 - 1 + if (keepids) { + if (jmax < j) { + if (jmin != j) { + Memr[kmax] = d2 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } else { + Memr[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } + if (jmin < j) { + if (jmax != n1) { + Memr[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } else { + Memr[kmin] = d2 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } + } + } else { + if (jmax < j) { + if (jmin != j) + Memr[kmax] = d2 + else + Memr[kmax] = d1 + } + if (jmin < j) { + if (jmax != n1) + Memr[kmin] = d1 + else + Memr[kmin] = d2 + } + } + n1 = n1 - 2 + } + + # Reject the excess low points. + do np = 1, nlow { + k = d[1] + i1 + d1 = Memr[k] + dmin = d1; jmin = 1; kmin = k + do j = 2, n1 { + k = d[j] + i1 + d1 = Memr[k] + if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + if (keepids) { + if (jmin < n1) { + Memr[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmin < n1) + Memr[kmin] = d1 + } + n1 = n1 - 1 + } + + # Reject the excess high points. + do np = 1, nhigh { + k = d[1] + i1 + d1 = Memr[k] + dmax = d1; jmax = 1; kmax = k + do j = 2, n1 { + k = d[j] + i1 + d1 = Memr[k] + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } + } + if (keepids) { + if (jmax < n1) { + Memr[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmax < n1) + Memr[kmax] = d1 + } + n1 = n1 - 1 + } + n[i] = n1 + } + + if (dflag == D_ALL && npairs + nlow + nhigh > 0) + dflag = D_MIX +end + +# IC_MM -- Reject a specified number of high and low pixels + +procedure ic_mmd (d, m, n, npts) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line + +int n1, ncombine, npairs, nlow, nhigh, np +int i, i1, j, jmax, jmin +pointer k, kmax, kmin +double d1, d2, dmin, dmax + +include "../icombine.com" + +begin + if (dflag == D_NONE) + return + + if (dflag == D_ALL) { + n1 = max (0, n[1]) + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = n1 - nlow - nhigh + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + do i = 1, npts { + i1 = i - 1 + n1 = max (0, n[i]) + if (dflag == D_MIX) { + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = max (ncombine, n1 - nlow - nhigh) + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + # Reject the npairs low and high points. + do np = 1, npairs { + k = d[1] + i1 + d1 = Memd[k] + dmax = d1; dmin = d1; jmax = 1; jmin = 1; kmax = k; kmin = k + do j = 2, n1 { + d2 = d1 + k = d[j] + i1 + d1 = Memd[k] + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } else if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + j = n1 - 1 + if (keepids) { + if (jmax < j) { + if (jmin != j) { + Memd[kmax] = d2 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } else { + Memd[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } + if (jmin < j) { + if (jmax != n1) { + Memd[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } else { + Memd[kmin] = d2 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } + } + } else { + if (jmax < j) { + if (jmin != j) + Memd[kmax] = d2 + else + Memd[kmax] = d1 + } + if (jmin < j) { + if (jmax != n1) + Memd[kmin] = d1 + else + Memd[kmin] = d2 + } + } + n1 = n1 - 2 + } + + # Reject the excess low points. + do np = 1, nlow { + k = d[1] + i1 + d1 = Memd[k] + dmin = d1; jmin = 1; kmin = k + do j = 2, n1 { + k = d[j] + i1 + d1 = Memd[k] + if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + if (keepids) { + if (jmin < n1) { + Memd[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmin < n1) + Memd[kmin] = d1 + } + n1 = n1 - 1 + } + + # Reject the excess high points. + do np = 1, nhigh { + k = d[1] + i1 + d1 = Memd[k] + dmax = d1; jmax = 1; kmax = k + do j = 2, n1 { + k = d[j] + i1 + d1 = Memd[k] + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } + } + if (keepids) { + if (jmax < n1) { + Memd[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmax < n1) + Memd[kmax] = d1 + } + n1 = n1 - 1 + } + n[i] = n1 + } + + if (dflag == D_ALL && npairs + nlow + nhigh > 0) + dflag = D_MIX +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icnmodel.x b/pkg/images/immatch/src/imcombine/src/generic/icnmodel.x new file mode 100644 index 00000000..559cba73 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icnmodel.x @@ -0,0 +1,528 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <mach.h> +include "../icombine.h" +include "../icmask.h" + + +# IC_NMODEL -- Compute the quadrature average (or summed) noise model. +# Options include a weighted average/sum. + +procedure ic_nmodels (d, m, n, nm, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real nm[3,nimages] # Noise model parameters +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +real average[npts] # Average (returned) + +int i, j, k, n1 +real val, wt, sumwt +real sum, zero +data zero /0.0/ + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = max (zero, Mems[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + do j = 2, n[i] { + val = max (zero, Mems[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = max (zero, Mems[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n[i] { + val = max (zero, Mems[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Mems[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + sumwt = wt + do j = 2, n1 { + val = max (zero, Mems[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = max (zero, Mems[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = Mems[d[1]+k]**2 + do j = 2, n1 { + val = max (zero, Mems[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + + (val*nm[3,j])**2 + sum = sum + val + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Mems[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n1 { + val = max (zero, Mems[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end + +# IC_NMODEL -- Compute the quadrature average (or summed) noise model. +# Options include a weighted average/sum. + +procedure ic_nmodeli (d, m, n, nm, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real nm[3,nimages] # Noise model parameters +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +real average[npts] # Average (returned) + +int i, j, k, n1 +real val, wt, sumwt +real sum, zero +data zero /0.0/ + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = max (zero, Memi[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + do j = 2, n[i] { + val = max (zero, Memi[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = max (zero, Memi[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n[i] { + val = max (zero, Memi[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Memi[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + sumwt = wt + do j = 2, n1 { + val = max (zero, Memi[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = max (zero, Memi[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = Memi[d[1]+k]**2 + do j = 2, n1 { + val = max (zero, Memi[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + + (val*nm[3,j])**2 + sum = sum + val + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Memi[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n1 { + val = max (zero, Memi[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end + +# IC_NMODEL -- Compute the quadrature average (or summed) noise model. +# Options include a weighted average/sum. + +procedure ic_nmodelr (d, m, n, nm, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real nm[3,nimages] # Noise model parameters +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +real average[npts] # Average (returned) + +int i, j, k, n1 +real val, wt, sumwt +real sum, zero +data zero /0.0/ + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = max (zero, Memr[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + do j = 2, n[i] { + val = max (zero, Memr[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = max (zero, Memr[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n[i] { + val = max (zero, Memr[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Memr[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + sumwt = wt + do j = 2, n1 { + val = max (zero, Memr[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = max (zero, Memr[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = Memr[d[1]+k]**2 + do j = 2, n1 { + val = max (zero, Memr[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + + (val*nm[3,j])**2 + sum = sum + val + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Memr[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n1 { + val = max (zero, Memr[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end + +# IC_NMODEL -- Compute the quadrature average (or summed) noise model. +# Options include a weighted average/sum. + +procedure ic_nmodeld (d, m, n, nm, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real nm[3,nimages] # Noise model parameters +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +double average[npts] # Average (returned) + +int i, j, k, n1 +real val, wt, sumwt +double sum, zero +data zero /0.0D0/ + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = max (zero, Memd[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + do j = 2, n[i] { + val = max (zero, Memd[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = max (zero, Memd[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n[i] { + val = max (zero, Memd[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Memd[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + sumwt = wt + do j = 2, n1 { + val = max (zero, Memd[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = max (zero, Memd[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = Memd[d[1]+k]**2 + do j = 2, n1 { + val = max (zero, Memd[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + + (val*nm[3,j])**2 + sum = sum + val + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Memd[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n1 { + val = max (zero, Memd[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icomb.x b/pkg/images/immatch/src/imcombine/src/generic/icomb.x new file mode 100644 index 00000000..3466073b --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icomb.x @@ -0,0 +1,2198 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <imset.h> +include <pmset.h> +include <error.h> +include <syserr.h> +include <mach.h> +include "../icombine.h" + +# The following is for compiling under V2.11. +define IM_BUFFRAC IM_BUFSIZE +include <imset.h> + + +# ICOMBINE -- Combine images +# +# The memory and open file descriptor limits are checked and an attempt +# to recover is made either by setting the image pixel files to be +# closed after I/O or by notifying the calling program that memory +# ran out and the IMIO buffer size should be reduced. After the checks +# a procedure for the selected combine option is called. +# Because there may be several failure modes when reaching the file +# limits we first assume an error is due to the file limit, except for +# out of memory, and close some pixel files. If the error then repeats +# on accessing the pixels the error is passed back. + + +procedure icombines (in, out, scales, zeros, wts, offsets, nimages, bufsize) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real wts[nimages] # Weights +int offsets[nimages,ARB] # Input image offsets +int nimages # Number of input images +int bufsize # IMIO buffer size + +char str[1] +int i, j, k, npts, fd, stropen(), xt_imgnls() +pointer sp, d, id, n, m, lflag, v, dbuf +pointer im, buf, xt_opix(), impl1i() +errchk stropen, xt_cpix, xt_opix, xt_imgnls, impl1i, ic_combines +pointer impl1r() +errchk impl1r + +include "../icombine.com" + +begin + npts = IM_LEN(out[1],1) + + # Allocate memory. + call smark (sp) + call salloc (dbuf, nimages, TY_POINTER) + call salloc (d, nimages, TY_POINTER) + call salloc (id, nimages, TY_POINTER) + call salloc (n, npts, TY_INT) + call salloc (m, nimages, TY_POINTER) + call salloc (lflag, nimages, TY_INT) + call salloc (v, IM_MAXDIM, TY_LONG) + call amovki (D_ALL, Memi[lflag], nimages) + call amovkl (1, Meml[v], IM_MAXDIM) + + # If not aligned or growing create data buffers of output length + # otherwise use the IMIO buffers. + + if (!aligned || grow >= 1.) { + do i = 1, nimages { + call salloc (Memi[dbuf+i-1], npts, TY_SHORT) + call aclrs (Mems[Memi[dbuf+i-1]], npts) + } + } else { + do i = 1, nimages { + im = xt_opix (in[i], i, 1) + if (im != in[i]) { + call salloc (Memi[dbuf+i-1], npts, TY_SHORT) + call aclrs (Mems[Memi[dbuf+i-1]], npts) + } + } + call amovki (NULL, Memi[dbuf], nimages) + } + + if (project) { + call imseti (in[1], IM_NBUFS, nimages) + call imseti (in[1], IM_BUFFRAC, 0) + call imseti (in[1], IM_BUFSIZE, bufsize) + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + } else { + # Reserve FD for string operations. + fd = stropen (str, 1, NEW_FILE) + + # Do I/O to the images. + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + buf = impl1r (out[1]) + call aclrr (Memr[buf], npts) + if (out[3] != NULL) { + buf = impl1r (out[3]) + call aclrr (Memr[buf], npts) + } + if (out[2] != NULL) { + buf = impl1i (out[2]) + call aclri (Memi[buf], npts) + } + if (out[4] != NULL) { + buf = impl1i (out[4]) + call aclri (Memi[buf], npts) + } + if (out[5] != NULL) { + buf = impl1i (out[5]) + call aclri (Memi[buf], npts) + } + if (out[6] != NULL) { + buf = impl1i (out[6]) + call aclri (Memi[buf], npts) + } + + # Do I/O for first input image line. + if (!project) { + do i = 1, nimages { + call xt_imseti (i, "bufsize", bufsize) + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + call xt_cpix (i) + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + + do i = 1, nimages { + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + next + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + next + iferr { + Meml[v+1] = j + j = xt_imgnls (in[i], i, buf, Meml[v], 1) + } then { + call imseti (im, IM_PIXFD, NULL) + call sfree (sp) + call strclose (fd) + call erract (EA_ERROR) + } + } + } + + call strclose (fd) + } + + call ic_combines (in, out, Memi[dbuf], Memi[d], Memi[id], Memi[n], + Memi[m], Memi[lflag], offsets, scales, zeros, wts, nimages, npts) +end + + +# IC_COMBINE -- Combine images. + +procedure ic_combines (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, wts, nimages, npts) + +pointer in[nimages] # Input images +pointer out[ARB] # Output image +pointer dbuf[nimages] # Data buffers for nonaligned images +pointer d[nimages] # Data pointers +pointer id[nimages] # Image index ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Line flags +int offsets[nimages,ARB] # Input image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +real wts[nimages] # Combining weights +int nimages # Number of input images +int npts # Number of points per output line + +int i, ext, ctor(), errcode() +real r, imgetr() +pointer sp, fname, imname, v1, v2, v3, work +pointer outdata, buf, nmod, nm, pms +pointer immap(), impnli() +pointer impnlr(), imgnlr() +errchk immap, ic_scale, imgetr, ic_grow, ic_grows, ic_rmasks, ic_emask +errchk ic_gdatas + +include "../icombine.com" +data ext/0/ + +begin + call smark (sp) + call salloc (fname, SZ_FNAME, TY_CHAR) + call salloc (imname, SZ_FNAME, TY_CHAR) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (v3, IM_MAXDIM, TY_LONG) + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + + call ic_scale (in, out, offsets, scales, zeros, wts, nimages) + + # Set combine parameters + switch (combine) { + case AVERAGE, SUM, QUAD, NMODEL: + if (dowts) + keepids = true + else + keepids = false + case MEDIAN: + dowts = false + keepids = false + } + docombine = true + + # Get noise model parameters. + if (combine==NMODEL) { + call salloc (nmod, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nmod+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nmod+3*(i-1)+2] = r + } + } + } + + # Set rejection algorithm specific parameters + switch (reject) { + case CCDCLIP, CRREJECT: + call salloc (nm, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nm+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nm+3*(i-1)+2] = r + } + } + if (!keepids) { + if (doscale1) + keepids = true + else { + do i = 2, nimages { + if (Memr[nm+3*(i-1)] != Memr[nm] || + Memr[nm+3*(i-1)+1] != Memr[nm+1] || + Memr[nm+3*(i-1)+2] != Memr[nm+2]) { + keepids = true + break + } + } + } + } + if (reject == CRREJECT) + lsigma = MAX_REAL + case MINMAX: + mclip = false + case PCLIP: + mclip = true + case AVSIGCLIP, SIGCLIP: + if (doscale1) + keepids = true + case NONE: + mclip = false + } + + if (out[4] != NULL) + keepids = true + + if (out[6] != NULL) { + keepids = true + call ic_einit (in, nimages, Memc[expkeyword], 1., 2**27-1) + } + + if (grow >= 1.) { + keepids = true + call salloc (work, npts * nimages, TY_INT) + } + pms = NULL + + if (keepids) { + do i = 1, nimages + call salloc (id[i], npts, TY_INT) + } + +# This idea turns out to has a problem with masks are used with wcs offsets. +# the matching of masks to images based on WCS requires access to the WCS +# of the images. For now we drop this idea but maybe a way can be identified +# to know when this is not going to be needed. +# # Reduce header memory use. +# do i = 1, nimages +# call xt_minhdr (i) + + while (impnlr (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdatas (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + switch (reject) { + case CCDCLIP, CRREJECT: + if (mclip) + call ic_mccdclips (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memr[outdata]) + else + call ic_accdclips (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memr[outdata]) + case MINMAX: + call ic_mms (d, id, n, npts) + case PCLIP: + call ic_pclips (d, id, n, nimages, npts, Memr[outdata]) + case SIGCLIP: + if (mclip) + call ic_msigclips (d, id, n, scales, zeros, nimages, npts, + Memr[outdata]) + else + call ic_asigclips (d, id, n, scales, zeros, nimages, npts, + Memr[outdata]) + case AVSIGCLIP: + if (mclip) + call ic_mavsigclips (d, id, n, scales, zeros, nimages, + npts, Memr[outdata]) + else + call ic_aavsigclips (d, id, n, scales, zeros, nimages, + npts, Memr[outdata]) + } + + if (pms == NULL || nkeep > 0) { + if (docombine) { + switch (combine) { + case AVERAGE: + call ic_averages (d, id, n, wts, nimages, npts, + YES, YES, Memr[outdata]) + case MEDIAN: + call ic_medians (d, n, npts, YES, Memr[outdata]) + case SUM: + call ic_averages (d, id, n, wts, nimages, npts, + YES, NO, Memr[outdata]) + case QUAD: + call ic_quads (d, id, n, wts, nimages, npts, + YES, YES, Memr[outdata]) + case NMODEL: + call ic_nmodels (d, id, n, Memr[nmod], wts, + nimages, npts, YES, YES, Memr[outdata]) + } + } + } + + if (grow >= 1.) + call ic_grow (out, Meml[v2], id, n, Memi[work], nimages, npts, + pms) + + if (pms == NULL) { + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnlr (out[3], buf, Meml[v1]) + call ic_sigmas (d, id, n, wts, npts, Memr[outdata], + Memr[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + } + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + + if (pms != NULL) { + if (nkeep > 0) { + call imstats (out[1], IM_IMAGENAME, Memc[fname], SZ_FNAME) + call imunmap (out[1]) + iferr (buf = immap (Memc[fname], READ_WRITE, 0)) { + switch (errcode()) { + case SYS_FXFOPNOEXTNV: + call imgcluster (Memc[fname], Memc[fname], SZ_FNAME) + ext = ext + 1 + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext) + iferr (buf = immap (Memc[imname], READ_WRITE, 0)) { + buf = NULL + ext = 0 + } + repeat { + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext+1) + iferr (outdata = immap (Memc[imname],READ_WRITE,0)) + break + if (buf != NULL) + call imunmap (buf) + buf = outdata + ext = ext + 1 + } + default: + call erract (EA_ERROR) + } + } + out[1] = buf + } + + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + while (impnlr (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdatas (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + call ic_grows (Meml[v2], d, id, n, Memi[work], nimages, npts, + pms) + + if (nkeep > 0) { + do i = 1, npts { + if (n[i] < nkeep) { + Meml[v1+1] = Meml[v1+1] - 1 + if (imgnlr (out[1], buf, Meml[v1]) == EOF) + ; + call amovr (Memr[buf], Memr[outdata], npts) + break + } + } + } + + switch (combine) { + case AVERAGE: + call ic_averages (d, id, n, wts, nimages, npts, + NO, YES, Memr[outdata]) + case MEDIAN: + call ic_medians (d, n, npts, NO, Memr[outdata]) + case SUM: + call ic_averages (d, id, n, wts, nimages, npts, + NO, NO, Memr[outdata]) + case QUAD: + call ic_quads (d, id, n, wts, nimages, npts, + NO, YES, Memr[outdata]) + case NMODEL: + call ic_nmodels (d, id, n, Memr[nmod], wts, + nimages, npts, NO, YES, Memr[outdata]) + } + + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 2 + buf = buf + 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnlr (out[3], buf, Meml[v1]) + call ic_sigmas (d, id, n, wts, npts, Memr[outdata], + Memr[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + + do i = 1, nimages + call pm_close (Memi[pms+i-1]) + call mfree (pms, TY_POINTER) + } + + call sfree (sp) +end + +procedure icombinei (in, out, scales, zeros, wts, offsets, nimages, bufsize) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real wts[nimages] # Weights +int offsets[nimages,ARB] # Input image offsets +int nimages # Number of input images +int bufsize # IMIO buffer size + +char str[1] +int i, j, k, npts, fd, stropen(), xt_imgnli() +pointer sp, d, id, n, m, lflag, v, dbuf +pointer im, buf, xt_opix(), impl1i() +errchk stropen, xt_cpix, xt_opix, xt_imgnli, impl1i, ic_combinei +pointer impl1r() +errchk impl1r + +include "../icombine.com" + +begin + npts = IM_LEN(out[1],1) + + # Allocate memory. + call smark (sp) + call salloc (dbuf, nimages, TY_POINTER) + call salloc (d, nimages, TY_POINTER) + call salloc (id, nimages, TY_POINTER) + call salloc (n, npts, TY_INT) + call salloc (m, nimages, TY_POINTER) + call salloc (lflag, nimages, TY_INT) + call salloc (v, IM_MAXDIM, TY_LONG) + call amovki (D_ALL, Memi[lflag], nimages) + call amovkl (1, Meml[v], IM_MAXDIM) + + # If not aligned or growing create data buffers of output length + # otherwise use the IMIO buffers. + + if (!aligned || grow >= 1.) { + do i = 1, nimages { + call salloc (Memi[dbuf+i-1], npts, TY_INT) + call aclri (Memi[Memi[dbuf+i-1]], npts) + } + } else { + do i = 1, nimages { + im = xt_opix (in[i], i, 1) + if (im != in[i]) { + call salloc (Memi[dbuf+i-1], npts, TY_INT) + call aclri (Memi[Memi[dbuf+i-1]], npts) + } + } + call amovki (NULL, Memi[dbuf], nimages) + } + + if (project) { + call imseti (in[1], IM_NBUFS, nimages) + call imseti (in[1], IM_BUFFRAC, 0) + call imseti (in[1], IM_BUFSIZE, bufsize) + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + } else { + # Reserve FD for string operations. + fd = stropen (str, 1, NEW_FILE) + + # Do I/O to the images. + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + buf = impl1r (out[1]) + call aclrr (Memr[buf], npts) + if (out[3] != NULL) { + buf = impl1r (out[3]) + call aclrr (Memr[buf], npts) + } + if (out[2] != NULL) { + buf = impl1i (out[2]) + call aclri (Memi[buf], npts) + } + if (out[4] != NULL) { + buf = impl1i (out[4]) + call aclri (Memi[buf], npts) + } + if (out[5] != NULL) { + buf = impl1i (out[5]) + call aclri (Memi[buf], npts) + } + if (out[6] != NULL) { + buf = impl1i (out[6]) + call aclri (Memi[buf], npts) + } + + # Do I/O for first input image line. + if (!project) { + do i = 1, nimages { + call xt_imseti (i, "bufsize", bufsize) + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + call xt_cpix (i) + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + + do i = 1, nimages { + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + next + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + next + iferr { + Meml[v+1] = j + j = xt_imgnli (in[i], i, buf, Meml[v], 1) + } then { + call imseti (im, IM_PIXFD, NULL) + call sfree (sp) + call strclose (fd) + call erract (EA_ERROR) + } + } + } + + call strclose (fd) + } + + call ic_combinei (in, out, Memi[dbuf], Memi[d], Memi[id], Memi[n], + Memi[m], Memi[lflag], offsets, scales, zeros, wts, nimages, npts) +end + + +# IC_COMBINE -- Combine images. + +procedure ic_combinei (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, wts, nimages, npts) + +pointer in[nimages] # Input images +pointer out[ARB] # Output image +pointer dbuf[nimages] # Data buffers for nonaligned images +pointer d[nimages] # Data pointers +pointer id[nimages] # Image index ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Line flags +int offsets[nimages,ARB] # Input image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +real wts[nimages] # Combining weights +int nimages # Number of input images +int npts # Number of points per output line + +int i, ext, ctor(), errcode() +real r, imgetr() +pointer sp, fname, imname, v1, v2, v3, work +pointer outdata, buf, nmod, nm, pms +pointer immap(), impnli() +pointer impnlr(), imgnlr() +errchk immap, ic_scale, imgetr, ic_grow, ic_growi, ic_rmasks, ic_emask +errchk ic_gdatai + +include "../icombine.com" +data ext/0/ + +begin + call smark (sp) + call salloc (fname, SZ_FNAME, TY_CHAR) + call salloc (imname, SZ_FNAME, TY_CHAR) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (v3, IM_MAXDIM, TY_LONG) + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + + call ic_scale (in, out, offsets, scales, zeros, wts, nimages) + + # Set combine parameters + switch (combine) { + case AVERAGE, SUM, QUAD, NMODEL: + if (dowts) + keepids = true + else + keepids = false + case MEDIAN: + dowts = false + keepids = false + } + docombine = true + + # Get noise model parameters. + if (combine==NMODEL) { + call salloc (nmod, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nmod+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nmod+3*(i-1)+2] = r + } + } + } + + # Set rejection algorithm specific parameters + switch (reject) { + case CCDCLIP, CRREJECT: + call salloc (nm, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nm+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nm+3*(i-1)+2] = r + } + } + if (!keepids) { + if (doscale1) + keepids = true + else { + do i = 2, nimages { + if (Memr[nm+3*(i-1)] != Memr[nm] || + Memr[nm+3*(i-1)+1] != Memr[nm+1] || + Memr[nm+3*(i-1)+2] != Memr[nm+2]) { + keepids = true + break + } + } + } + } + if (reject == CRREJECT) + lsigma = MAX_REAL + case MINMAX: + mclip = false + case PCLIP: + mclip = true + case AVSIGCLIP, SIGCLIP: + if (doscale1) + keepids = true + case NONE: + mclip = false + } + + if (out[4] != NULL) + keepids = true + + if (out[6] != NULL) { + keepids = true + call ic_einit (in, nimages, Memc[expkeyword], 1., 2**27-1) + } + + if (grow >= 1.) { + keepids = true + call salloc (work, npts * nimages, TY_INT) + } + pms = NULL + + if (keepids) { + do i = 1, nimages + call salloc (id[i], npts, TY_INT) + } + +# This idea turns out to has a problem with masks are used with wcs offsets. +# the matching of masks to images based on WCS requires access to the WCS +# of the images. For now we drop this idea but maybe a way can be identified +# to know when this is not going to be needed. +# # Reduce header memory use. +# do i = 1, nimages +# call xt_minhdr (i) + + while (impnlr (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdatai (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + switch (reject) { + case CCDCLIP, CRREJECT: + if (mclip) + call ic_mccdclipi (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memr[outdata]) + else + call ic_accdclipi (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memr[outdata]) + case MINMAX: + call ic_mmi (d, id, n, npts) + case PCLIP: + call ic_pclipi (d, id, n, nimages, npts, Memr[outdata]) + case SIGCLIP: + if (mclip) + call ic_msigclipi (d, id, n, scales, zeros, nimages, npts, + Memr[outdata]) + else + call ic_asigclipi (d, id, n, scales, zeros, nimages, npts, + Memr[outdata]) + case AVSIGCLIP: + if (mclip) + call ic_mavsigclipi (d, id, n, scales, zeros, nimages, + npts, Memr[outdata]) + else + call ic_aavsigclipi (d, id, n, scales, zeros, nimages, + npts, Memr[outdata]) + } + + if (pms == NULL || nkeep > 0) { + if (docombine) { + switch (combine) { + case AVERAGE: + call ic_averagei (d, id, n, wts, nimages, npts, + YES, YES, Memr[outdata]) + case MEDIAN: + call ic_mediani (d, n, npts, YES, Memr[outdata]) + case SUM: + call ic_averagei (d, id, n, wts, nimages, npts, + YES, NO, Memr[outdata]) + case QUAD: + call ic_quadi (d, id, n, wts, nimages, npts, + YES, YES, Memr[outdata]) + case NMODEL: + call ic_nmodeli (d, id, n, Memr[nmod], wts, + nimages, npts, YES, YES, Memr[outdata]) + } + } + } + + if (grow >= 1.) + call ic_grow (out, Meml[v2], id, n, Memi[work], nimages, npts, + pms) + + if (pms == NULL) { + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnlr (out[3], buf, Meml[v1]) + call ic_sigmai (d, id, n, wts, npts, Memr[outdata], + Memr[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + } + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + + if (pms != NULL) { + if (nkeep > 0) { + call imstats (out[1], IM_IMAGENAME, Memc[fname], SZ_FNAME) + call imunmap (out[1]) + iferr (buf = immap (Memc[fname], READ_WRITE, 0)) { + switch (errcode()) { + case SYS_FXFOPNOEXTNV: + call imgcluster (Memc[fname], Memc[fname], SZ_FNAME) + ext = ext + 1 + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext) + iferr (buf = immap (Memc[imname], READ_WRITE, 0)) { + buf = NULL + ext = 0 + } + repeat { + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext+1) + iferr (outdata = immap (Memc[imname],READ_WRITE,0)) + break + if (buf != NULL) + call imunmap (buf) + buf = outdata + ext = ext + 1 + } + default: + call erract (EA_ERROR) + } + } + out[1] = buf + } + + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + while (impnlr (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdatai (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + call ic_growi (Meml[v2], d, id, n, Memi[work], nimages, npts, + pms) + + if (nkeep > 0) { + do i = 1, npts { + if (n[i] < nkeep) { + Meml[v1+1] = Meml[v1+1] - 1 + if (imgnlr (out[1], buf, Meml[v1]) == EOF) + ; + call amovr (Memr[buf], Memr[outdata], npts) + break + } + } + } + + switch (combine) { + case AVERAGE: + call ic_averagei (d, id, n, wts, nimages, npts, + NO, YES, Memr[outdata]) + case MEDIAN: + call ic_mediani (d, n, npts, NO, Memr[outdata]) + case SUM: + call ic_averagei (d, id, n, wts, nimages, npts, + NO, NO, Memr[outdata]) + case QUAD: + call ic_quadi (d, id, n, wts, nimages, npts, + NO, YES, Memr[outdata]) + case NMODEL: + call ic_nmodeli (d, id, n, Memr[nmod], wts, + nimages, npts, NO, YES, Memr[outdata]) + } + + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 2 + buf = buf + 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnlr (out[3], buf, Meml[v1]) + call ic_sigmai (d, id, n, wts, npts, Memr[outdata], + Memr[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + + do i = 1, nimages + call pm_close (Memi[pms+i-1]) + call mfree (pms, TY_POINTER) + } + + call sfree (sp) +end + +procedure icombiner (in, out, scales, zeros, wts, offsets, nimages, bufsize) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real wts[nimages] # Weights +int offsets[nimages,ARB] # Input image offsets +int nimages # Number of input images +int bufsize # IMIO buffer size + +char str[1] +int i, j, k, npts, fd, stropen(), xt_imgnlr() +pointer sp, d, id, n, m, lflag, v, dbuf +pointer im, buf, xt_opix(), impl1i() +errchk stropen, xt_cpix, xt_opix, xt_imgnlr, impl1i, ic_combiner +pointer impl1r() +errchk impl1r + +include "../icombine.com" + +begin + npts = IM_LEN(out[1],1) + + # Allocate memory. + call smark (sp) + call salloc (dbuf, nimages, TY_POINTER) + call salloc (d, nimages, TY_POINTER) + call salloc (id, nimages, TY_POINTER) + call salloc (n, npts, TY_INT) + call salloc (m, nimages, TY_POINTER) + call salloc (lflag, nimages, TY_INT) + call salloc (v, IM_MAXDIM, TY_LONG) + call amovki (D_ALL, Memi[lflag], nimages) + call amovkl (1, Meml[v], IM_MAXDIM) + + # If not aligned or growing create data buffers of output length + # otherwise use the IMIO buffers. + + if (!aligned || grow >= 1.) { + do i = 1, nimages { + call salloc (Memi[dbuf+i-1], npts, TY_REAL) + call aclrr (Memr[Memi[dbuf+i-1]], npts) + } + } else { + do i = 1, nimages { + im = xt_opix (in[i], i, 1) + if (im != in[i]) { + call salloc (Memi[dbuf+i-1], npts, TY_REAL) + call aclrr (Memr[Memi[dbuf+i-1]], npts) + } + } + call amovki (NULL, Memi[dbuf], nimages) + } + + if (project) { + call imseti (in[1], IM_NBUFS, nimages) + call imseti (in[1], IM_BUFFRAC, 0) + call imseti (in[1], IM_BUFSIZE, bufsize) + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + } else { + # Reserve FD for string operations. + fd = stropen (str, 1, NEW_FILE) + + # Do I/O to the images. + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + buf = impl1r (out[1]) + call aclrr (Memr[buf], npts) + if (out[3] != NULL) { + buf = impl1r (out[3]) + call aclrr (Memr[buf], npts) + } + if (out[2] != NULL) { + buf = impl1i (out[2]) + call aclri (Memi[buf], npts) + } + if (out[4] != NULL) { + buf = impl1i (out[4]) + call aclri (Memi[buf], npts) + } + if (out[5] != NULL) { + buf = impl1i (out[5]) + call aclri (Memi[buf], npts) + } + if (out[6] != NULL) { + buf = impl1i (out[6]) + call aclri (Memi[buf], npts) + } + + # Do I/O for first input image line. + if (!project) { + do i = 1, nimages { + call xt_imseti (i, "bufsize", bufsize) + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + call xt_cpix (i) + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + + do i = 1, nimages { + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + next + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + next + iferr { + Meml[v+1] = j + j = xt_imgnlr (in[i], i, buf, Meml[v], 1) + } then { + call imseti (im, IM_PIXFD, NULL) + call sfree (sp) + call strclose (fd) + call erract (EA_ERROR) + } + } + } + + call strclose (fd) + } + + call ic_combiner (in, out, Memi[dbuf], Memi[d], Memi[id], Memi[n], + Memi[m], Memi[lflag], offsets, scales, zeros, wts, nimages, npts) +end + + +# IC_COMBINE -- Combine images. + +procedure ic_combiner (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, wts, nimages, npts) + +pointer in[nimages] # Input images +pointer out[ARB] # Output image +pointer dbuf[nimages] # Data buffers for nonaligned images +pointer d[nimages] # Data pointers +pointer id[nimages] # Image index ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Line flags +int offsets[nimages,ARB] # Input image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +real wts[nimages] # Combining weights +int nimages # Number of input images +int npts # Number of points per output line + +int i, ext, ctor(), errcode() +real r, imgetr() +pointer sp, fname, imname, v1, v2, v3, work +pointer outdata, buf, nmod, nm, pms +pointer immap(), impnli() +pointer impnlr(), imgnlr +errchk immap, ic_scale, imgetr, ic_grow, ic_growr, ic_rmasks, ic_emask +errchk ic_gdatar + +include "../icombine.com" +data ext/0/ + +begin + call smark (sp) + call salloc (fname, SZ_FNAME, TY_CHAR) + call salloc (imname, SZ_FNAME, TY_CHAR) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (v3, IM_MAXDIM, TY_LONG) + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + + call ic_scale (in, out, offsets, scales, zeros, wts, nimages) + + # Set combine parameters + switch (combine) { + case AVERAGE, SUM, QUAD, NMODEL: + if (dowts) + keepids = true + else + keepids = false + case MEDIAN: + dowts = false + keepids = false + } + docombine = true + + # Get noise model parameters. + if (combine==NMODEL) { + call salloc (nmod, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nmod+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nmod+3*(i-1)+2] = r + } + } + } + + # Set rejection algorithm specific parameters + switch (reject) { + case CCDCLIP, CRREJECT: + call salloc (nm, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nm+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nm+3*(i-1)+2] = r + } + } + if (!keepids) { + if (doscale1) + keepids = true + else { + do i = 2, nimages { + if (Memr[nm+3*(i-1)] != Memr[nm] || + Memr[nm+3*(i-1)+1] != Memr[nm+1] || + Memr[nm+3*(i-1)+2] != Memr[nm+2]) { + keepids = true + break + } + } + } + } + if (reject == CRREJECT) + lsigma = MAX_REAL + case MINMAX: + mclip = false + case PCLIP: + mclip = true + case AVSIGCLIP, SIGCLIP: + if (doscale1) + keepids = true + case NONE: + mclip = false + } + + if (out[4] != NULL) + keepids = true + + if (out[6] != NULL) { + keepids = true + call ic_einit (in, nimages, Memc[expkeyword], 1., 2**27-1) + } + + if (grow >= 1.) { + keepids = true + call salloc (work, npts * nimages, TY_INT) + } + pms = NULL + + if (keepids) { + do i = 1, nimages + call salloc (id[i], npts, TY_INT) + } + +# This idea turns out to has a problem with masks are used with wcs offsets. +# the matching of masks to images based on WCS requires access to the WCS +# of the images. For now we drop this idea but maybe a way can be identified +# to know when this is not going to be needed. +# # Reduce header memory use. +# do i = 1, nimages +# call xt_minhdr (i) + + while (impnlr (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdatar (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + switch (reject) { + case CCDCLIP, CRREJECT: + if (mclip) + call ic_mccdclipr (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memr[outdata]) + else + call ic_accdclipr (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memr[outdata]) + case MINMAX: + call ic_mmr (d, id, n, npts) + case PCLIP: + call ic_pclipr (d, id, n, nimages, npts, Memr[outdata]) + case SIGCLIP: + if (mclip) + call ic_msigclipr (d, id, n, scales, zeros, nimages, npts, + Memr[outdata]) + else + call ic_asigclipr (d, id, n, scales, zeros, nimages, npts, + Memr[outdata]) + case AVSIGCLIP: + if (mclip) + call ic_mavsigclipr (d, id, n, scales, zeros, nimages, + npts, Memr[outdata]) + else + call ic_aavsigclipr (d, id, n, scales, zeros, nimages, + npts, Memr[outdata]) + } + + if (pms == NULL || nkeep > 0) { + if (docombine) { + switch (combine) { + case AVERAGE: + call ic_averager (d, id, n, wts, nimages, npts, + YES, YES, Memr[outdata]) + case MEDIAN: + call ic_medianr (d, n, npts, YES, Memr[outdata]) + case SUM: + call ic_averager (d, id, n, wts, nimages, npts, + YES, NO, Memr[outdata]) + case QUAD: + call ic_quadr (d, id, n, wts, nimages, npts, + YES, YES, Memr[outdata]) + case NMODEL: + call ic_nmodelr (d, id, n, Memr[nmod], wts, + nimages, npts, YES, YES, Memr[outdata]) + } + } + } + + if (grow >= 1.) + call ic_grow (out, Meml[v2], id, n, Memi[work], nimages, npts, + pms) + + if (pms == NULL) { + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 2 + buf = buf + 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnlr (out[3], buf, Meml[v1]) + call ic_sigmar (d, id, n, wts, npts, Memr[outdata], + Memr[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + } + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + + if (pms != NULL) { + if (nkeep > 0) { + call imstats (out[1], IM_IMAGENAME, Memc[fname], SZ_FNAME) + call imunmap (out[1]) + iferr (buf = immap (Memc[fname], READ_WRITE, 0)) { + switch (errcode()) { + case SYS_FXFOPNOEXTNV: + call imgcluster (Memc[fname], Memc[fname], SZ_FNAME) + ext = ext + 1 + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext) + iferr (buf = immap (Memc[imname], READ_WRITE, 0)) { + buf = NULL + ext = 0 + } + repeat { + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext+1) + iferr (outdata = immap (Memc[imname],READ_WRITE,0)) + break + if (buf != NULL) + call imunmap (buf) + buf = outdata + ext = ext + 1 + } + default: + call erract (EA_ERROR) + } + } + out[1] = buf + } + + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + while (impnlr (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdatar (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + call ic_growr (Meml[v2], d, id, n, Memi[work], nimages, npts, + pms) + + if (nkeep > 0) { + do i = 1, npts { + if (n[i] < nkeep) { + Meml[v1+1] = Meml[v1+1] - 1 + if (imgnlr (out[1], buf, Meml[v1]) == EOF) + ; + call amovr (Memr[buf], Memr[outdata], npts) + break + } + } + } + + switch (combine) { + case AVERAGE: + call ic_averager (d, id, n, wts, nimages, npts, + NO, YES, Memr[outdata]) + case MEDIAN: + call ic_medianr (d, n, npts, NO, Memr[outdata]) + case SUM: + call ic_averager (d, id, n, wts, nimages, npts, + NO, NO, Memr[outdata]) + case QUAD: + call ic_quadr (d, id, n, wts, nimages, npts, + NO, YES, Memr[outdata]) + case NMODEL: + call ic_nmodelr (d, id, n, Memr[nmod], wts, + nimages, npts, NO, YES, Memr[outdata]) + } + + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 2 + buf = buf + 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnlr (out[3], buf, Meml[v1]) + call ic_sigmar (d, id, n, wts, npts, Memr[outdata], + Memr[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + + do i = 1, nimages + call pm_close (Memi[pms+i-1]) + call mfree (pms, TY_POINTER) + } + + call sfree (sp) +end + +procedure icombined (in, out, scales, zeros, wts, offsets, nimages, bufsize) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real wts[nimages] # Weights +int offsets[nimages,ARB] # Input image offsets +int nimages # Number of input images +int bufsize # IMIO buffer size + +char str[1] +int i, j, k, npts, fd, stropen(), xt_imgnld() +pointer sp, d, id, n, m, lflag, v, dbuf +pointer im, buf, xt_opix(), impl1i() +errchk stropen, xt_cpix, xt_opix, xt_imgnld, impl1i, ic_combined +pointer impl1d() +errchk impl1d + +include "../icombine.com" + +begin + npts = IM_LEN(out[1],1) + + # Allocate memory. + call smark (sp) + call salloc (dbuf, nimages, TY_POINTER) + call salloc (d, nimages, TY_POINTER) + call salloc (id, nimages, TY_POINTER) + call salloc (n, npts, TY_INT) + call salloc (m, nimages, TY_POINTER) + call salloc (lflag, nimages, TY_INT) + call salloc (v, IM_MAXDIM, TY_LONG) + call amovki (D_ALL, Memi[lflag], nimages) + call amovkl (1, Meml[v], IM_MAXDIM) + + # If not aligned or growing create data buffers of output length + # otherwise use the IMIO buffers. + + if (!aligned || grow >= 1.) { + do i = 1, nimages { + call salloc (Memi[dbuf+i-1], npts, TY_DOUBLE) + call aclrd (Memd[Memi[dbuf+i-1]], npts) + } + } else { + do i = 1, nimages { + im = xt_opix (in[i], i, 1) + if (im != in[i]) { + call salloc (Memi[dbuf+i-1], npts, TY_DOUBLE) + call aclrd (Memd[Memi[dbuf+i-1]], npts) + } + } + call amovki (NULL, Memi[dbuf], nimages) + } + + if (project) { + call imseti (in[1], IM_NBUFS, nimages) + call imseti (in[1], IM_BUFFRAC, 0) + call imseti (in[1], IM_BUFSIZE, bufsize) + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + } else { + # Reserve FD for string operations. + fd = stropen (str, 1, NEW_FILE) + + # Do I/O to the images. + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + buf = impl1d (out[1]) + call aclrd (Memd[buf], npts) + if (out[3] != NULL) { + buf = impl1d (out[3]) + call aclrd (Memd[buf], npts) + } + if (out[2] != NULL) { + buf = impl1i (out[2]) + call aclri (Memi[buf], npts) + } + if (out[4] != NULL) { + buf = impl1i (out[4]) + call aclri (Memi[buf], npts) + } + if (out[5] != NULL) { + buf = impl1i (out[5]) + call aclri (Memi[buf], npts) + } + if (out[6] != NULL) { + buf = impl1i (out[6]) + call aclri (Memi[buf], npts) + } + + # Do I/O for first input image line. + if (!project) { + do i = 1, nimages { + call xt_imseti (i, "bufsize", bufsize) + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + call xt_cpix (i) + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + + do i = 1, nimages { + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + next + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + next + iferr { + Meml[v+1] = j + j = xt_imgnld (in[i], i, buf, Meml[v], 1) + } then { + call imseti (im, IM_PIXFD, NULL) + call sfree (sp) + call strclose (fd) + call erract (EA_ERROR) + } + } + } + + call strclose (fd) + } + + call ic_combined (in, out, Memi[dbuf], Memi[d], Memi[id], Memi[n], + Memi[m], Memi[lflag], offsets, scales, zeros, wts, nimages, npts) +end + + +# IC_COMBINE -- Combine images. + +procedure ic_combined (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, wts, nimages, npts) + +pointer in[nimages] # Input images +pointer out[ARB] # Output image +pointer dbuf[nimages] # Data buffers for nonaligned images +pointer d[nimages] # Data pointers +pointer id[nimages] # Image index ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Line flags +int offsets[nimages,ARB] # Input image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +real wts[nimages] # Combining weights +int nimages # Number of input images +int npts # Number of points per output line + +int i, ext, ctor(), errcode() +real r, imgetr() +pointer sp, fname, imname, v1, v2, v3, work +pointer outdata, buf, nmod, nm, pms +pointer immap(), impnli() +pointer impnld(), imgnld +errchk immap, ic_scale, imgetr, ic_grow, ic_growd, ic_rmasks, ic_emask +errchk ic_gdatad + +include "../icombine.com" +data ext/0/ + +begin + call smark (sp) + call salloc (fname, SZ_FNAME, TY_CHAR) + call salloc (imname, SZ_FNAME, TY_CHAR) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (v3, IM_MAXDIM, TY_LONG) + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + + call ic_scale (in, out, offsets, scales, zeros, wts, nimages) + + # Set combine parameters + switch (combine) { + case AVERAGE, SUM, QUAD, NMODEL: + if (dowts) + keepids = true + else + keepids = false + case MEDIAN: + dowts = false + keepids = false + } + docombine = true + + # Get noise model parameters. + if (combine==NMODEL) { + call salloc (nmod, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nmod+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nmod+3*(i-1)+2] = r + } + } + } + + # Set rejection algorithm specific parameters + switch (reject) { + case CCDCLIP, CRREJECT: + call salloc (nm, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nm+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nm+3*(i-1)+2] = r + } + } + if (!keepids) { + if (doscale1) + keepids = true + else { + do i = 2, nimages { + if (Memr[nm+3*(i-1)] != Memr[nm] || + Memr[nm+3*(i-1)+1] != Memr[nm+1] || + Memr[nm+3*(i-1)+2] != Memr[nm+2]) { + keepids = true + break + } + } + } + } + if (reject == CRREJECT) + lsigma = MAX_REAL + case MINMAX: + mclip = false + case PCLIP: + mclip = true + case AVSIGCLIP, SIGCLIP: + if (doscale1) + keepids = true + case NONE: + mclip = false + } + + if (out[4] != NULL) + keepids = true + + if (out[6] != NULL) { + keepids = true + call ic_einit (in, nimages, Memc[expkeyword], 1., 2**27-1) + } + + if (grow >= 1.) { + keepids = true + call salloc (work, npts * nimages, TY_INT) + } + pms = NULL + + if (keepids) { + do i = 1, nimages + call salloc (id[i], npts, TY_INT) + } + +# This idea turns out to has a problem with masks are used with wcs offsets. +# the matching of masks to images based on WCS requires access to the WCS +# of the images. For now we drop this idea but maybe a way can be identified +# to know when this is not going to be needed. +# # Reduce header memory use. +# do i = 1, nimages +# call xt_minhdr (i) + + while (impnld (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdatad (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + switch (reject) { + case CCDCLIP, CRREJECT: + if (mclip) + call ic_mccdclipd (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memd[outdata]) + else + call ic_accdclipd (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memd[outdata]) + case MINMAX: + call ic_mmd (d, id, n, npts) + case PCLIP: + call ic_pclipd (d, id, n, nimages, npts, Memd[outdata]) + case SIGCLIP: + if (mclip) + call ic_msigclipd (d, id, n, scales, zeros, nimages, npts, + Memd[outdata]) + else + call ic_asigclipd (d, id, n, scales, zeros, nimages, npts, + Memd[outdata]) + case AVSIGCLIP: + if (mclip) + call ic_mavsigclipd (d, id, n, scales, zeros, nimages, + npts, Memd[outdata]) + else + call ic_aavsigclipd (d, id, n, scales, zeros, nimages, + npts, Memd[outdata]) + } + + if (pms == NULL || nkeep > 0) { + if (docombine) { + switch (combine) { + case AVERAGE: + call ic_averaged (d, id, n, wts, nimages, npts, + YES, YES, Memd[outdata]) + case MEDIAN: + call ic_mediand (d, n, npts, YES, Memd[outdata]) + case SUM: + call ic_averaged (d, id, n, wts, nimages, npts, + YES, NO, Memd[outdata]) + case QUAD: + call ic_quadd (d, id, n, wts, nimages, npts, + YES, YES, Memd[outdata]) + case NMODEL: + call ic_nmodeld (d, id, n, Memr[nmod], wts, + nimages, npts, YES, YES, Memd[outdata]) + } + } + } + + if (grow >= 1.) + call ic_grow (out, Meml[v2], id, n, Memi[work], nimages, npts, + pms) + + if (pms == NULL) { + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 2 + buf = buf + 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnld (out[3], buf, Meml[v1]) + call ic_sigmad (d, id, n, wts, npts, Memd[outdata], + Memd[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + } + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + + if (pms != NULL) { + if (nkeep > 0) { + call imstats (out[1], IM_IMAGENAME, Memc[fname], SZ_FNAME) + call imunmap (out[1]) + iferr (buf = immap (Memc[fname], READ_WRITE, 0)) { + switch (errcode()) { + case SYS_FXFOPNOEXTNV: + call imgcluster (Memc[fname], Memc[fname], SZ_FNAME) + ext = ext + 1 + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext) + iferr (buf = immap (Memc[imname], READ_WRITE, 0)) { + buf = NULL + ext = 0 + } + repeat { + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext+1) + iferr (outdata = immap (Memc[imname],READ_WRITE,0)) + break + if (buf != NULL) + call imunmap (buf) + buf = outdata + ext = ext + 1 + } + default: + call erract (EA_ERROR) + } + } + out[1] = buf + } + + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + while (impnld (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdatad (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + call ic_growd (Meml[v2], d, id, n, Memi[work], nimages, npts, + pms) + + if (nkeep > 0) { + do i = 1, npts { + if (n[i] < nkeep) { + Meml[v1+1] = Meml[v1+1] - 1 + if (imgnld (out[1], buf, Meml[v1]) == EOF) + ; + call amovd (Memd[buf], Memd[outdata], npts) + break + } + } + } + + switch (combine) { + case AVERAGE: + call ic_averaged (d, id, n, wts, nimages, npts, + NO, YES, Memd[outdata]) + case MEDIAN: + call ic_mediand (d, n, npts, NO, Memd[outdata]) + case SUM: + call ic_averaged (d, id, n, wts, nimages, npts, + NO, NO, Memd[outdata]) + case QUAD: + call ic_quadd (d, id, n, wts, nimages, npts, + NO, YES, Memd[outdata]) + case NMODEL: + call ic_nmodeld (d, id, n, Memr[nmod], wts, + nimages, npts, NO, YES, Memd[outdata]) + } + + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 2 + buf = buf + 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnld (out[3], buf, Meml[v1]) + call ic_sigmad (d, id, n, wts, npts, Memd[outdata], + Memd[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + + do i = 1, nimages + call pm_close (Memi[pms+i-1]) + call mfree (pms, TY_POINTER) + } + + call sfree (sp) +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icpclip.x b/pkg/images/immatch/src/imcombine/src/generic/icpclip.x new file mode 100644 index 00000000..3dfe7f48 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icpclip.x @@ -0,0 +1,879 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +define MINCLIP 3 # Minimum number for clipping + + +# IC_PCLIP -- Percentile clip +# +# 1) Find the median +# 2) Find the pixel which is the specified order index away +# 3) Use the data value difference as a sigma and apply clipping +# 4) Since the median is known return it so it does not have to be recomputed + +procedure ic_pclips (d, m, n, nimages, npts, median) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[npts] # Number of good pixels +int nimages # Number of input images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, n4, n5, nl, nh, nin, maxkeep +bool even, fp_equalr() +real sigma, r, s, t +pointer sp, resid, mp1, mp2 +real med + +include "../icombine.com" + +begin + # There must be at least MINCLIP and more than nkeep pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Set sign of pclip parameter + if (pclip < 0) + t = -1. + else + t = 1. + + # If there are no rejected pixels compute certain parameters once. + if (dflag == D_ALL) { + n1 = max (0, n[1]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0.) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + nin = n1 + } + + # Now apply clipping. + do i = 1, npts { + # Compute median. + if (dflag == D_MIX) { + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 == 0) { + if (combine == MEDIAN) + median[i] = blank + next + } + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + } + + j = i - 1 + if (even) { + med = Mems[d[n2-1]+j] + med = (med + Mems[d[n2]+j]) / 2. + } else + med = Mems[d[n2]+j] + + if (n1 < max (MINCLIP, maxkeep+1)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Define sigma for clipping + sigma = t * (Mems[d[n3]+j] - med) + if (fp_equalr (sigma, 0.)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Reject pixels and save residuals. + # Check if any pixels are clipped. + # If so recompute the median and reset the number of good pixels. + # Only reorder if needed. + + for (nl=1; nl<=n1; nl=nl+1) { + r = (med - Mems[d[nl]+j]) / sigma + if (r < lsigma) + break + Memr[resid+nl] = r + } + for (nh=n1; nh>=1; nh=nh-1) { + r = (Mems[d[nh]+j] - med) / sigma + if (r < hsigma) + break + Memr[resid+nh] = r + } + n4 = nh - nl + 1 + + # If too many pixels are rejected add some back in. + # All pixels with the same residual are added. + while (n4 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n4 = nh - nl + 1 + } + + # If any pixels are rejected recompute the median. + if (nl > 1 || nh < n1) { + n5 = nl + n4 / 2 + if (mod (n4, 2) == 0) { + med = Mems[d[n5-1]+j] + med = (med + Mems[d[n5]+j]) / 2. + } else + med = Mems[d[n5]+j] + n[i] = n4 + } + if (combine == MEDIAN) + median[i] = med + + # Reorder if pixels only if necessary. + if (nl > 1 && (combine != MEDIAN || grow >= 1.)) { + k = max (nl, n4 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Mems[d[l]+j] = Mems[d[k]+j] + if (grow >= 1.) { + mp1 = m[l] + j + mp2 = m[k] + j + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+j] = Memi[m[k]+j] + k = k + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Mems[d[l]+j] = Mems[d[k]+j] + k = k + 1 + } + } + } + } + + # Check if data flag needs to be reset for rejected pixels. + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag whether the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_PCLIP -- Percentile clip +# +# 1) Find the median +# 2) Find the pixel which is the specified order index away +# 3) Use the data value difference as a sigma and apply clipping +# 4) Since the median is known return it so it does not have to be recomputed + +procedure ic_pclipi (d, m, n, nimages, npts, median) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[npts] # Number of good pixels +int nimages # Number of input images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, n4, n5, nl, nh, nin, maxkeep +bool even, fp_equalr() +real sigma, r, s, t +pointer sp, resid, mp1, mp2 +real med + +include "../icombine.com" + +begin + # There must be at least MINCLIP and more than nkeep pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Set sign of pclip parameter + if (pclip < 0) + t = -1. + else + t = 1. + + # If there are no rejected pixels compute certain parameters once. + if (dflag == D_ALL) { + n1 = max (0, n[1]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0.) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + nin = n1 + } + + # Now apply clipping. + do i = 1, npts { + # Compute median. + if (dflag == D_MIX) { + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 == 0) { + if (combine == MEDIAN) + median[i] = blank + next + } + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + } + + j = i - 1 + if (even) { + med = Memi[d[n2-1]+j] + med = (med + Memi[d[n2]+j]) / 2. + } else + med = Memi[d[n2]+j] + + if (n1 < max (MINCLIP, maxkeep+1)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Define sigma for clipping + sigma = t * (Memi[d[n3]+j] - med) + if (fp_equalr (sigma, 0.)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Reject pixels and save residuals. + # Check if any pixels are clipped. + # If so recompute the median and reset the number of good pixels. + # Only reorder if needed. + + for (nl=1; nl<=n1; nl=nl+1) { + r = (med - Memi[d[nl]+j]) / sigma + if (r < lsigma) + break + Memr[resid+nl] = r + } + for (nh=n1; nh>=1; nh=nh-1) { + r = (Memi[d[nh]+j] - med) / sigma + if (r < hsigma) + break + Memr[resid+nh] = r + } + n4 = nh - nl + 1 + + # If too many pixels are rejected add some back in. + # All pixels with the same residual are added. + while (n4 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n4 = nh - nl + 1 + } + + # If any pixels are rejected recompute the median. + if (nl > 1 || nh < n1) { + n5 = nl + n4 / 2 + if (mod (n4, 2) == 0) { + med = Memi[d[n5-1]+j] + med = (med + Memi[d[n5]+j]) / 2. + } else + med = Memi[d[n5]+j] + n[i] = n4 + } + if (combine == MEDIAN) + median[i] = med + + # Reorder if pixels only if necessary. + if (nl > 1 && (combine != MEDIAN || grow >= 1.)) { + k = max (nl, n4 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memi[d[l]+j] = Memi[d[k]+j] + if (grow >= 1.) { + mp1 = m[l] + j + mp2 = m[k] + j + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+j] = Memi[m[k]+j] + k = k + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memi[d[l]+j] = Memi[d[k]+j] + k = k + 1 + } + } + } + } + + # Check if data flag needs to be reset for rejected pixels. + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag whether the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_PCLIP -- Percentile clip +# +# 1) Find the median +# 2) Find the pixel which is the specified order index away +# 3) Use the data value difference as a sigma and apply clipping +# 4) Since the median is known return it so it does not have to be recomputed + +procedure ic_pclipr (d, m, n, nimages, npts, median) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[npts] # Number of good pixels +int nimages # Number of input images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, n4, n5, nl, nh, nin, maxkeep +bool even, fp_equalr() +real sigma, r, s, t +pointer sp, resid, mp1, mp2 +real med + +include "../icombine.com" + +begin + # There must be at least MINCLIP and more than nkeep pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Set sign of pclip parameter + if (pclip < 0) + t = -1. + else + t = 1. + + # If there are no rejected pixels compute certain parameters once. + if (dflag == D_ALL) { + n1 = max (0, n[1]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0.) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + nin = n1 + } + + # Now apply clipping. + do i = 1, npts { + # Compute median. + if (dflag == D_MIX) { + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 == 0) { + if (combine == MEDIAN) + median[i] = blank + next + } + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + } + + j = i - 1 + if (even) { + med = Memr[d[n2-1]+j] + med = (med + Memr[d[n2]+j]) / 2. + } else + med = Memr[d[n2]+j] + + if (n1 < max (MINCLIP, maxkeep+1)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Define sigma for clipping + sigma = t * (Memr[d[n3]+j] - med) + if (fp_equalr (sigma, 0.)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Reject pixels and save residuals. + # Check if any pixels are clipped. + # If so recompute the median and reset the number of good pixels. + # Only reorder if needed. + + for (nl=1; nl<=n1; nl=nl+1) { + r = (med - Memr[d[nl]+j]) / sigma + if (r < lsigma) + break + Memr[resid+nl] = r + } + for (nh=n1; nh>=1; nh=nh-1) { + r = (Memr[d[nh]+j] - med) / sigma + if (r < hsigma) + break + Memr[resid+nh] = r + } + n4 = nh - nl + 1 + + # If too many pixels are rejected add some back in. + # All pixels with the same residual are added. + while (n4 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n4 = nh - nl + 1 + } + + # If any pixels are rejected recompute the median. + if (nl > 1 || nh < n1) { + n5 = nl + n4 / 2 + if (mod (n4, 2) == 0) { + med = Memr[d[n5-1]+j] + med = (med + Memr[d[n5]+j]) / 2. + } else + med = Memr[d[n5]+j] + n[i] = n4 + } + if (combine == MEDIAN) + median[i] = med + + # Reorder if pixels only if necessary. + if (nl > 1 && (combine != MEDIAN || grow >= 1.)) { + k = max (nl, n4 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memr[d[l]+j] = Memr[d[k]+j] + if (grow >= 1.) { + mp1 = m[l] + j + mp2 = m[k] + j + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+j] = Memi[m[k]+j] + k = k + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memr[d[l]+j] = Memr[d[k]+j] + k = k + 1 + } + } + } + } + + # Check if data flag needs to be reset for rejected pixels. + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag whether the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_PCLIP -- Percentile clip +# +# 1) Find the median +# 2) Find the pixel which is the specified order index away +# 3) Use the data value difference as a sigma and apply clipping +# 4) Since the median is known return it so it does not have to be recomputed + +procedure ic_pclipd (d, m, n, nimages, npts, median) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[npts] # Number of good pixels +int nimages # Number of input images +int npts # Number of output points per line +double median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, n4, n5, nl, nh, nin, maxkeep +bool even, fp_equalr() +real sigma, r, s, t +pointer sp, resid, mp1, mp2 +double med + +include "../icombine.com" + +begin + # There must be at least MINCLIP and more than nkeep pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Set sign of pclip parameter + if (pclip < 0) + t = -1. + else + t = 1. + + # If there are no rejected pixels compute certain parameters once. + if (dflag == D_ALL) { + n1 = max (0, n[1]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0.) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + nin = n1 + } + + # Now apply clipping. + do i = 1, npts { + # Compute median. + if (dflag == D_MIX) { + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 == 0) { + if (combine == MEDIAN) + median[i] = blank + next + } + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + } + + j = i - 1 + if (even) { + med = Memd[d[n2-1]+j] + med = (med + Memd[d[n2]+j]) / 2. + } else + med = Memd[d[n2]+j] + + if (n1 < max (MINCLIP, maxkeep+1)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Define sigma for clipping + sigma = t * (Memd[d[n3]+j] - med) + if (fp_equalr (sigma, 0.)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Reject pixels and save residuals. + # Check if any pixels are clipped. + # If so recompute the median and reset the number of good pixels. + # Only reorder if needed. + + for (nl=1; nl<=n1; nl=nl+1) { + r = (med - Memd[d[nl]+j]) / sigma + if (r < lsigma) + break + Memr[resid+nl] = r + } + for (nh=n1; nh>=1; nh=nh-1) { + r = (Memd[d[nh]+j] - med) / sigma + if (r < hsigma) + break + Memr[resid+nh] = r + } + n4 = nh - nl + 1 + + # If too many pixels are rejected add some back in. + # All pixels with the same residual are added. + while (n4 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n4 = nh - nl + 1 + } + + # If any pixels are rejected recompute the median. + if (nl > 1 || nh < n1) { + n5 = nl + n4 / 2 + if (mod (n4, 2) == 0) { + med = Memd[d[n5-1]+j] + med = (med + Memd[d[n5]+j]) / 2. + } else + med = Memd[d[n5]+j] + n[i] = n4 + } + if (combine == MEDIAN) + median[i] = med + + # Reorder if pixels only if necessary. + if (nl > 1 && (combine != MEDIAN || grow >= 1.)) { + k = max (nl, n4 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memd[d[l]+j] = Memd[d[k]+j] + if (grow >= 1.) { + mp1 = m[l] + j + mp2 = m[k] + j + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+j] = Memi[m[k]+j] + k = k + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memd[d[l]+j] = Memd[d[k]+j] + k = k + 1 + } + } + } + } + + # Check if data flag needs to be reset for rejected pixels. + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag whether the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icquad.x b/pkg/images/immatch/src/imcombine/src/generic/icquad.x new file mode 100644 index 00000000..4ba5eb14 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icquad.x @@ -0,0 +1,476 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <mach.h> +include "../icombine.h" +include "../icmask.h" + + +# IC_QUAD -- Compute the quadrature average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_quads (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +real average[npts] # Average (returned) + +int i, j, k, n1 +real val, wt, sumwt +real sum + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = Mems[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + do j = 2, n[i] { + val = Mems[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val * wt) ** 2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = Mems[d[1]+k] + sum = val**2 + do j = 2, n[i] { + val = Mems[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Mems[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + sumwt = wt + do j = 2, n1 { + val = Mems[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val* wt) ** 2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = Mems[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Mems[d[j]+k] + sum = sum + val**2 + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Mems[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Mems[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end + +# IC_QUAD -- Compute the quadrature average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_quadi (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +real average[npts] # Average (returned) + +int i, j, k, n1 +real val, wt, sumwt +real sum + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = Memi[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + do j = 2, n[i] { + val = Memi[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val * wt) ** 2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = Memi[d[1]+k] + sum = val**2 + do j = 2, n[i] { + val = Memi[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Memi[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + sumwt = wt + do j = 2, n1 { + val = Memi[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val* wt) ** 2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = Memi[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Memi[d[j]+k] + sum = sum + val**2 + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Memi[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Memi[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end + +# IC_QUAD -- Compute the quadrature average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_quadr (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +real average[npts] # Average (returned) + +int i, j, k, n1 +real val, wt, sumwt +real sum + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = Memr[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + do j = 2, n[i] { + val = Memr[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val * wt) ** 2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = Memr[d[1]+k] + sum = val**2 + do j = 2, n[i] { + val = Memr[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Memr[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + sumwt = wt + do j = 2, n1 { + val = Memr[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val* wt) ** 2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = Memr[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Memr[d[j]+k] + sum = sum + val**2 + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Memr[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Memr[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end + +# IC_QUAD -- Compute the quadrature average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_quadd (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +double average[npts] # Average (returned) + +int i, j, k, n1 +real val, wt, sumwt +double sum + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = Memd[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + do j = 2, n[i] { + val = Memd[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val * wt) ** 2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = Memd[d[1]+k] + sum = val**2 + do j = 2, n[i] { + val = Memd[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Memd[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + sumwt = wt + do j = 2, n1 { + val = Memd[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val* wt) ** 2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = Memd[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Memd[d[j]+k] + sum = sum + val**2 + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Memd[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Memd[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icsclip.x b/pkg/images/immatch/src/imcombine/src/generic/icsclip.x new file mode 100644 index 00000000..2f2ac17e --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icsclip.x @@ -0,0 +1,1923 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +define MINCLIP 3 # Mininum number of images for algorithm + + +# IC_ASIGCLIP -- Reject pixels using sigma clipping about the average +# The initial average rejects the high and low pixels. A correction for +# different scalings of the images may be made. Weights are not used. + +procedure ic_asigclips (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +real d1, low, high, sum, a, s, r, one +data one /1.0/ +pointer sp, resid, w, wp, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Flag whether returned average needs to be recomputed. + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Save the residuals and the sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Do sigma clipping. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + + # If there are not enough pixels simply compute the average. + if (n1 < max (3, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Mems[d[1]+k] + do j = 2, n1 + sum = sum + Mems[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + # Compute average with the high and low rejected. + low = Mems[d[1]+k] + high = Mems[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Mems[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Iteratively reject pixels and compute the final average if needed. + # Compact the data and keep track of the image IDs if needed. + + repeat { + n2 = n1 + if (doscale1) { + # Compute sigma corrected for scaling. + s = 0. + wp = w - 1 + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Mems[dp1] + l = Memi[mp1] + r = sqrt (max (one, (a + zeros[l]) / scales[l])) + s = s + ((d1 - a) / r) ** 2 + Memr[wp] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + wp = w - 1 + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Mems[dp1] + r = (d1 - a) / (s * Memr[wp]) + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + Memr[wp] = Memr[w+n1-1] + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } else { + # Compute the sigma without scale correction. + s = 0. + do j = 1, n1 + s = s + (Mems[d[j]+k] - a) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Mems[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mems[dp1] + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Mems[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mems[dp1] + Mems[dp1] = Mems[dp2] + Mems[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Mems[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MSIGCLIP -- Reject pixels using sigma clipping about the median + +procedure ic_msigclips (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, w, mp1, mp2 +real med, one +data one /1.0/ + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Save the residuals and sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) + med = (Mems[d[n3-1]+k] + Mems[d[n3]+k]) / 2. + else + med = Mems[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + # Compute the sigma with scaling correction. + s = 0. + do j = nl, nh { + l = Memi[m[j]+k] + r = sqrt (max (one, (med + zeros[l]) / scales[l])) + s = s + ((Mems[d[j]+k] - med) / r) ** 2 + Memr[w+j-1] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Mems[d[nl]+k]) / (s * Memr[w+nl-1]) + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Mems[d[nh]+k] - med) / (s * Memr[w+nh-1]) + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } else { + # Compute the sigma without scaling correction. + s = 0. + do j = nl, nh + s = s + (Mems[d[j]+k] - med) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Mems[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Mems[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Mems[d[l]+k] = Mems[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Mems[d[l]+k] = Mems[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_ASIGCLIP -- Reject pixels using sigma clipping about the average +# The initial average rejects the high and low pixels. A correction for +# different scalings of the images may be made. Weights are not used. + +procedure ic_asigclipi (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +real d1, low, high, sum, a, s, r, one +data one /1.0/ +pointer sp, resid, w, wp, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Flag whether returned average needs to be recomputed. + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Save the residuals and the sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Do sigma clipping. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + + # If there are not enough pixels simply compute the average. + if (n1 < max (3, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Memi[d[1]+k] + do j = 2, n1 + sum = sum + Memi[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + # Compute average with the high and low rejected. + low = Memi[d[1]+k] + high = Memi[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Memi[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Iteratively reject pixels and compute the final average if needed. + # Compact the data and keep track of the image IDs if needed. + + repeat { + n2 = n1 + if (doscale1) { + # Compute sigma corrected for scaling. + s = 0. + wp = w - 1 + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Memi[dp1] + l = Memi[mp1] + r = sqrt (max (one, (a + zeros[l]) / scales[l])) + s = s + ((d1 - a) / r) ** 2 + Memr[wp] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + wp = w - 1 + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Memi[dp1] + r = (d1 - a) / (s * Memr[wp]) + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + Memr[wp] = Memr[w+n1-1] + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } else { + # Compute the sigma without scale correction. + s = 0. + do j = 1, n1 + s = s + (Memi[d[j]+k] - a) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Memi[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memi[dp1] + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Memi[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memi[dp1] + Memi[dp1] = Memi[dp2] + Memi[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Memi[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MSIGCLIP -- Reject pixels using sigma clipping about the median + +procedure ic_msigclipi (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, w, mp1, mp2 +real med, one +data one /1.0/ + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Save the residuals and sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) + med = (Memi[d[n3-1]+k] + Memi[d[n3]+k]) / 2. + else + med = Memi[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + # Compute the sigma with scaling correction. + s = 0. + do j = nl, nh { + l = Memi[m[j]+k] + r = sqrt (max (one, (med + zeros[l]) / scales[l])) + s = s + ((Memi[d[j]+k] - med) / r) ** 2 + Memr[w+j-1] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Memi[d[nl]+k]) / (s * Memr[w+nl-1]) + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Memi[d[nh]+k] - med) / (s * Memr[w+nh-1]) + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } else { + # Compute the sigma without scaling correction. + s = 0. + do j = nl, nh + s = s + (Memi[d[j]+k] - med) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Memi[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Memi[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memi[d[l]+k] = Memi[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memi[d[l]+k] = Memi[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_ASIGCLIP -- Reject pixels using sigma clipping about the average +# The initial average rejects the high and low pixels. A correction for +# different scalings of the images may be made. Weights are not used. + +procedure ic_asigclipr (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +real d1, low, high, sum, a, s, r, one +data one /1.0/ +pointer sp, resid, w, wp, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Flag whether returned average needs to be recomputed. + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Save the residuals and the sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Do sigma clipping. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + + # If there are not enough pixels simply compute the average. + if (n1 < max (3, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Memr[d[1]+k] + do j = 2, n1 + sum = sum + Memr[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + # Compute average with the high and low rejected. + low = Memr[d[1]+k] + high = Memr[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Memr[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Iteratively reject pixels and compute the final average if needed. + # Compact the data and keep track of the image IDs if needed. + + repeat { + n2 = n1 + if (doscale1) { + # Compute sigma corrected for scaling. + s = 0. + wp = w - 1 + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Memr[dp1] + l = Memi[mp1] + r = sqrt (max (one, (a + zeros[l]) / scales[l])) + s = s + ((d1 - a) / r) ** 2 + Memr[wp] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + wp = w - 1 + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Memr[dp1] + r = (d1 - a) / (s * Memr[wp]) + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + Memr[wp] = Memr[w+n1-1] + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } else { + # Compute the sigma without scale correction. + s = 0. + do j = 1, n1 + s = s + (Memr[d[j]+k] - a) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Memr[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memr[dp1] + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Memr[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memr[dp1] + Memr[dp1] = Memr[dp2] + Memr[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Memr[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MSIGCLIP -- Reject pixels using sigma clipping about the median + +procedure ic_msigclipr (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +real median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, w, mp1, mp2 +real med, one +data one /1.0/ + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Save the residuals and sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) + med = (Memr[d[n3-1]+k] + Memr[d[n3]+k]) / 2. + else + med = Memr[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + # Compute the sigma with scaling correction. + s = 0. + do j = nl, nh { + l = Memi[m[j]+k] + r = sqrt (max (one, (med + zeros[l]) / scales[l])) + s = s + ((Memr[d[j]+k] - med) / r) ** 2 + Memr[w+j-1] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Memr[d[nl]+k]) / (s * Memr[w+nl-1]) + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Memr[d[nh]+k] - med) / (s * Memr[w+nh-1]) + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } else { + # Compute the sigma without scaling correction. + s = 0. + do j = nl, nh + s = s + (Memr[d[j]+k] - med) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Memr[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Memr[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memr[d[l]+k] = Memr[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memr[d[l]+k] = Memr[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + +# IC_ASIGCLIP -- Reject pixels using sigma clipping about the average +# The initial average rejects the high and low pixels. A correction for +# different scalings of the images may be made. Weights are not used. + +procedure ic_asigclipd (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +double average[npts] # Average + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +double d1, low, high, sum, a, s, r, one +data one /1.0D0/ +pointer sp, resid, w, wp, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Flag whether returned average needs to be recomputed. + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Save the residuals and the sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Do sigma clipping. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + + # If there are not enough pixels simply compute the average. + if (n1 < max (3, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Memd[d[1]+k] + do j = 2, n1 + sum = sum + Memd[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + # Compute average with the high and low rejected. + low = Memd[d[1]+k] + high = Memd[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Memd[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Iteratively reject pixels and compute the final average if needed. + # Compact the data and keep track of the image IDs if needed. + + repeat { + n2 = n1 + if (doscale1) { + # Compute sigma corrected for scaling. + s = 0. + wp = w - 1 + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Memd[dp1] + l = Memi[mp1] + r = sqrt (max (one, (a + zeros[l]) / scales[l])) + s = s + ((d1 - a) / r) ** 2 + Memr[wp] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + wp = w - 1 + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Memd[dp1] + r = (d1 - a) / (s * Memr[wp]) + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + Memr[wp] = Memr[w+n1-1] + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } else { + # Compute the sigma without scale correction. + s = 0. + do j = 1, n1 + s = s + (Memd[d[j]+k] - a) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Memd[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memd[dp1] + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Memd[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Memd[dp1] + Memd[dp1] = Memd[dp2] + Memd[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Memd[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MSIGCLIP -- Reject pixels using sigma clipping about the median + +procedure ic_msigclipd (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +double median[npts] # Median + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, w, mp1, mp2 +double med, one +data one /1.0D0/ + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Save the residuals and sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) + med = (Memd[d[n3-1]+k] + Memd[d[n3]+k]) / 2. + else + med = Memd[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + # Compute the sigma with scaling correction. + s = 0. + do j = nl, nh { + l = Memi[m[j]+k] + r = sqrt (max (one, (med + zeros[l]) / scales[l])) + s = s + ((Memd[d[j]+k] - med) / r) ** 2 + Memr[w+j-1] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Memd[d[nl]+k]) / (s * Memr[w+nl-1]) + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Memd[d[nh]+k] - med) / (s * Memr[w+nh-1]) + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } else { + # Compute the sigma without scaling correction. + s = 0. + do j = nl, nh + s = s + (Memd[d[j]+k] - med) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Memd[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Memd[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Memd[d[l]+k] = Memd[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Memd[d[l]+k] = Memd[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icsigma.x b/pkg/images/immatch/src/imcombine/src/generic/icsigma.x new file mode 100644 index 00000000..b9c9a781 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icsigma.x @@ -0,0 +1,434 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include "../icombine.h" + + +# IC_SIGMA -- Compute the sigma image line. +# The estimated sigma includes a correction for the finite population. +# Weights are used if desired. + +procedure ic_sigmas (d, m, n, wts, npts, average, sigma) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of points +real wts[ARB] # Weights +int npts # Number of output points per line +real average[npts] # Average +real sigma[npts] # Sigma line (returned) + +int i, j, k, n1 +real wt, sigcor, sumwt +real a, sum + +include "../icombine.com" + +begin + if (dflag == D_ALL) { + n1 = n[1] + if (dowts) { + if (n1 > 1) + sigcor = real (n1) / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Mems[d[1]+k] - a) ** 2 * wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Mems[d[j]+k] - a) ** 2 * wt + } + sigma[i] = sqrt (sum * sigcor) + } + } else { + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + sum = (Mems[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Mems[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } + } + } else if (dflag == D_NONE) { + do i = 1, npts + sigma[i] = blank + } else { + if (dowts) { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = real (n1) / real (n1 -1) + else + sigcor = 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Mems[d[1]+k] - a) ** 2 * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Mems[d[j]+k] - a) ** 2 * wt + sumwt = sumwt + wt + } + if (sumwt > 0) + sigma[i] = sqrt (sum / sumwt * sigcor) + else { + sum = (Mems[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Mems[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum / n1 * sigcor) + } + } else + sigma[i] = blank + } + } else { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + a = average[i] + sum = (Mems[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Mems[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } else + sigma[i] = blank + } + } + } +end + +# IC_SIGMA -- Compute the sigma image line. +# The estimated sigma includes a correction for the finite population. +# Weights are used if desired. + +procedure ic_sigmai (d, m, n, wts, npts, average, sigma) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of points +real wts[ARB] # Weights +int npts # Number of output points per line +real average[npts] # Average +real sigma[npts] # Sigma line (returned) + +int i, j, k, n1 +real wt, sigcor, sumwt +real a, sum + +include "../icombine.com" + +begin + if (dflag == D_ALL) { + n1 = n[1] + if (dowts) { + if (n1 > 1) + sigcor = real (n1) / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Memi[d[1]+k] - a) ** 2 * wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Memi[d[j]+k] - a) ** 2 * wt + } + sigma[i] = sqrt (sum * sigcor) + } + } else { + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + sum = (Memi[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Memi[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } + } + } else if (dflag == D_NONE) { + do i = 1, npts + sigma[i] = blank + } else { + if (dowts) { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = real (n1) / real (n1 -1) + else + sigcor = 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Memi[d[1]+k] - a) ** 2 * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Memi[d[j]+k] - a) ** 2 * wt + sumwt = sumwt + wt + } + if (sumwt > 0) + sigma[i] = sqrt (sum / sumwt * sigcor) + else { + sum = (Memi[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Memi[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum / n1 * sigcor) + } + } else + sigma[i] = blank + } + } else { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + a = average[i] + sum = (Memi[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Memi[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } else + sigma[i] = blank + } + } + } +end + +# IC_SIGMA -- Compute the sigma image line. +# The estimated sigma includes a correction for the finite population. +# Weights are used if desired. + +procedure ic_sigmar (d, m, n, wts, npts, average, sigma) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of points +real wts[ARB] # Weights +int npts # Number of output points per line +real average[npts] # Average +real sigma[npts] # Sigma line (returned) + +int i, j, k, n1 +real wt, sigcor, sumwt +real a, sum + +include "../icombine.com" + +begin + if (dflag == D_ALL) { + n1 = n[1] + if (dowts) { + if (n1 > 1) + sigcor = real (n1) / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Memr[d[1]+k] - a) ** 2 * wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Memr[d[j]+k] - a) ** 2 * wt + } + sigma[i] = sqrt (sum * sigcor) + } + } else { + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + sum = (Memr[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Memr[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } + } + } else if (dflag == D_NONE) { + do i = 1, npts + sigma[i] = blank + } else { + if (dowts) { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = real (n1) / real (n1 -1) + else + sigcor = 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Memr[d[1]+k] - a) ** 2 * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Memr[d[j]+k] - a) ** 2 * wt + sumwt = sumwt + wt + } + if (sumwt > 0) + sigma[i] = sqrt (sum / sumwt * sigcor) + else { + sum = (Memr[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Memr[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum / n1 * sigcor) + } + } else + sigma[i] = blank + } + } else { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + a = average[i] + sum = (Memr[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Memr[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } else + sigma[i] = blank + } + } + } +end + +# IC_SIGMA -- Compute the sigma image line. +# The estimated sigma includes a correction for the finite population. +# Weights are used if desired. + +procedure ic_sigmad (d, m, n, wts, npts, average, sigma) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of points +real wts[ARB] # Weights +int npts # Number of output points per line +double average[npts] # Average +double sigma[npts] # Sigma line (returned) + +int i, j, k, n1 +real wt, sigcor, sumwt +double a, sum + +include "../icombine.com" + +begin + if (dflag == D_ALL) { + n1 = n[1] + if (dowts) { + if (n1 > 1) + sigcor = real (n1) / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Memd[d[1]+k] - a) ** 2 * wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Memd[d[j]+k] - a) ** 2 * wt + } + sigma[i] = sqrt (sum * sigcor) + } + } else { + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + sum = (Memd[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Memd[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } + } + } else if (dflag == D_NONE) { + do i = 1, npts + sigma[i] = blank + } else { + if (dowts) { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = real (n1) / real (n1 -1) + else + sigcor = 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Memd[d[1]+k] - a) ** 2 * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Memd[d[j]+k] - a) ** 2 * wt + sumwt = sumwt + wt + } + if (sumwt > 0) + sigma[i] = sqrt (sum / sumwt * sigcor) + else { + sum = (Memd[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Memd[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum / n1 * sigcor) + } + } else + sigma[i] = blank + } + } else { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + a = average[i] + sum = (Memd[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Memd[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } else + sigma[i] = blank + } + } + } +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/icsort.x b/pkg/images/immatch/src/imcombine/src/generic/icsort.x new file mode 100644 index 00000000..3ec1d27e --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icsort.x @@ -0,0 +1,1096 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +define LOGPTR 32 # log2(maxpts) (4e9) + + +# IC_SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. + +procedure ic_sorts (a, b, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +short b[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +short pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR] +define swap {temp=$1;$1=$2;$2=temp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix + b[i] = Mems[a[i]+l] + + # Special cases + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) # bac + b[2] = pivot + else { # bca + b[2] = temp3 + b[3] = pivot + } + } else { # cba + b[1] = temp3 + b[3] = pivot + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) # acb + b[2] = temp3 + else { # cab + b[1] = temp3 + b[2] = pivot + } + } else + next + } + goto copy_ + } + + # General case + do i = 1, npix + b[i] = Mems[a[i]+l] + + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]) + pivot = b[j] # pivot line + + while (i < j) { + for (i=i+1; b[i] < pivot; i=i+1) + ; + for (j=j-1; j > i; j=j-1) + if (b[j] <= pivot) + break + if (i < j) # out of order pair + swap (b[i], b[j]) # interchange elements + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix + Mems[a[i]+l] = b[i] + } +end + + +# IC_2SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. A second integer set of +# vectors is sorted. + +procedure ic_2sorts (a, b, c, d, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +short b[ARB] # work array +pointer c[ARB] # pointer to associated integer vectors +int d[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +short pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR], itemp +define swap {temp=$1;$1=$2;$2=temp} +define iswap {itemp=$1;$1=$2;$2=itemp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix { + b[i] = Mems[a[i]+l] + d[i] = Memi[c[i]+l] + } + + # Special cases + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + iswap (d[1], d[2]) + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) { # bac + b[2] = pivot + iswap (d[1], d[2]) + } else { # bca + b[2] = temp3 + b[3] = pivot + itemp = d[2] + d[2] = d[3] + d[3] = d[1] + d[1] = itemp + } + } else { # cba + b[1] = temp3 + b[3] = pivot + iswap (d[1], d[3]) + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) { # acb + b[2] = temp3 + iswap (d[2], d[3]) + } else { # cab + b[1] = temp3 + b[2] = pivot + itemp = d[2] + d[2] = d[1] + d[1] = d[3] + d[3] = itemp + } + } else + next + } + goto copy_ + } + + # General case + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]); swap (d[j], d[k]) + pivot = b[j] # pivot line + + while (i < j) { + for (i=i+1; b[i] < pivot; i=i+1) + ; + for (j=j-1; j > i; j=j-1) + if (b[j] <= pivot) + break + if (i < j) { # out of order pair + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + } + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix { + Mems[a[i]+l] = b[i] + Memi[c[i]+l] = d[i] + } + } +end + +# IC_SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. + +procedure ic_sorti (a, b, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +int b[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +int pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR] +define swap {temp=$1;$1=$2;$2=temp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix + b[i] = Memi[a[i]+l] + + # Special cases + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) # bac + b[2] = pivot + else { # bca + b[2] = temp3 + b[3] = pivot + } + } else { # cba + b[1] = temp3 + b[3] = pivot + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) # acb + b[2] = temp3 + else { # cab + b[1] = temp3 + b[2] = pivot + } + } else + next + } + goto copy_ + } + + # General case + do i = 1, npix + b[i] = Memi[a[i]+l] + + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]) + pivot = b[j] # pivot line + + while (i < j) { + for (i=i+1; b[i] < pivot; i=i+1) + ; + for (j=j-1; j > i; j=j-1) + if (b[j] <= pivot) + break + if (i < j) # out of order pair + swap (b[i], b[j]) # interchange elements + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix + Memi[a[i]+l] = b[i] + } +end + + +# IC_2SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. A second integer set of +# vectors is sorted. + +procedure ic_2sorti (a, b, c, d, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +int b[ARB] # work array +pointer c[ARB] # pointer to associated integer vectors +int d[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +int pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR], itemp +define swap {temp=$1;$1=$2;$2=temp} +define iswap {itemp=$1;$1=$2;$2=itemp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix { + b[i] = Memi[a[i]+l] + d[i] = Memi[c[i]+l] + } + + # Special cases + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + iswap (d[1], d[2]) + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) { # bac + b[2] = pivot + iswap (d[1], d[2]) + } else { # bca + b[2] = temp3 + b[3] = pivot + itemp = d[2] + d[2] = d[3] + d[3] = d[1] + d[1] = itemp + } + } else { # cba + b[1] = temp3 + b[3] = pivot + iswap (d[1], d[3]) + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) { # acb + b[2] = temp3 + iswap (d[2], d[3]) + } else { # cab + b[1] = temp3 + b[2] = pivot + itemp = d[2] + d[2] = d[1] + d[1] = d[3] + d[3] = itemp + } + } else + next + } + goto copy_ + } + + # General case + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]); swap (d[j], d[k]) + pivot = b[j] # pivot line + + while (i < j) { + for (i=i+1; b[i] < pivot; i=i+1) + ; + for (j=j-1; j > i; j=j-1) + if (b[j] <= pivot) + break + if (i < j) { # out of order pair + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + } + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix { + Memi[a[i]+l] = b[i] + Memi[c[i]+l] = d[i] + } + } +end + +# IC_SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. + +procedure ic_sortr (a, b, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +real b[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +real pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR] +define swap {temp=$1;$1=$2;$2=temp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix + b[i] = Memr[a[i]+l] + + # Special cases + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) # bac + b[2] = pivot + else { # bca + b[2] = temp3 + b[3] = pivot + } + } else { # cba + b[1] = temp3 + b[3] = pivot + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) # acb + b[2] = temp3 + else { # cab + b[1] = temp3 + b[2] = pivot + } + } else + next + } + goto copy_ + } + + # General case + do i = 1, npix + b[i] = Memr[a[i]+l] + + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]) + pivot = b[j] # pivot line + + while (i < j) { + for (i=i+1; b[i] < pivot; i=i+1) + ; + for (j=j-1; j > i; j=j-1) + if (b[j] <= pivot) + break + if (i < j) # out of order pair + swap (b[i], b[j]) # interchange elements + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix + Memr[a[i]+l] = b[i] + } +end + + +# IC_2SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. A second integer set of +# vectors is sorted. + +procedure ic_2sortr (a, b, c, d, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +real b[ARB] # work array +pointer c[ARB] # pointer to associated integer vectors +int d[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +real pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR], itemp +define swap {temp=$1;$1=$2;$2=temp} +define iswap {itemp=$1;$1=$2;$2=itemp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix { + b[i] = Memr[a[i]+l] + d[i] = Memi[c[i]+l] + } + + # Special cases + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + iswap (d[1], d[2]) + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) { # bac + b[2] = pivot + iswap (d[1], d[2]) + } else { # bca + b[2] = temp3 + b[3] = pivot + itemp = d[2] + d[2] = d[3] + d[3] = d[1] + d[1] = itemp + } + } else { # cba + b[1] = temp3 + b[3] = pivot + iswap (d[1], d[3]) + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) { # acb + b[2] = temp3 + iswap (d[2], d[3]) + } else { # cab + b[1] = temp3 + b[2] = pivot + itemp = d[2] + d[2] = d[1] + d[1] = d[3] + d[3] = itemp + } + } else + next + } + goto copy_ + } + + # General case + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]); swap (d[j], d[k]) + pivot = b[j] # pivot line + + while (i < j) { + for (i=i+1; b[i] < pivot; i=i+1) + ; + for (j=j-1; j > i; j=j-1) + if (b[j] <= pivot) + break + if (i < j) { # out of order pair + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + } + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix { + Memr[a[i]+l] = b[i] + Memi[c[i]+l] = d[i] + } + } +end + +# IC_SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. + +procedure ic_sortd (a, b, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +double b[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +double pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR] +define swap {temp=$1;$1=$2;$2=temp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix + b[i] = Memd[a[i]+l] + + # Special cases + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) # bac + b[2] = pivot + else { # bca + b[2] = temp3 + b[3] = pivot + } + } else { # cba + b[1] = temp3 + b[3] = pivot + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) # acb + b[2] = temp3 + else { # cab + b[1] = temp3 + b[2] = pivot + } + } else + next + } + goto copy_ + } + + # General case + do i = 1, npix + b[i] = Memd[a[i]+l] + + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]) + pivot = b[j] # pivot line + + while (i < j) { + for (i=i+1; b[i] < pivot; i=i+1) + ; + for (j=j-1; j > i; j=j-1) + if (b[j] <= pivot) + break + if (i < j) # out of order pair + swap (b[i], b[j]) # interchange elements + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix + Memd[a[i]+l] = b[i] + } +end + + +# IC_2SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. A second integer set of +# vectors is sorted. + +procedure ic_2sortd (a, b, c, d, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +double b[ARB] # work array +pointer c[ARB] # pointer to associated integer vectors +int d[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +double pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR], itemp +define swap {temp=$1;$1=$2;$2=temp} +define iswap {itemp=$1;$1=$2;$2=itemp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix { + b[i] = Memd[a[i]+l] + d[i] = Memi[c[i]+l] + } + + # Special cases + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + iswap (d[1], d[2]) + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) { # bac + b[2] = pivot + iswap (d[1], d[2]) + } else { # bca + b[2] = temp3 + b[3] = pivot + itemp = d[2] + d[2] = d[3] + d[3] = d[1] + d[1] = itemp + } + } else { # cba + b[1] = temp3 + b[3] = pivot + iswap (d[1], d[3]) + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) { # acb + b[2] = temp3 + iswap (d[2], d[3]) + } else { # cab + b[1] = temp3 + b[2] = pivot + itemp = d[2] + d[2] = d[1] + d[1] = d[3] + d[3] = itemp + } + } else + next + } + goto copy_ + } + + # General case + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]); swap (d[j], d[k]) + pivot = b[j] # pivot line + + while (i < j) { + for (i=i+1; b[i] < pivot; i=i+1) + ; + for (j=j-1; j > i; j=j-1) + if (b[j] <= pivot) + break + if (i < j) { # out of order pair + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + } + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix { + Memd[a[i]+l] = b[i] + Memi[c[i]+l] = d[i] + } + } +end diff --git a/pkg/images/immatch/src/imcombine/src/generic/icstat.x b/pkg/images/immatch/src/imcombine/src/generic/icstat.x new file mode 100644 index 00000000..3a0ed49c --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/icstat.x @@ -0,0 +1,892 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include "../icombine.h" + +define NMAX 100000 # Maximum number of pixels to sample + + +# IC_STAT -- Compute image statistics within specified section. +# The image section is relative to a reference image which may be +# different than the input image and may have an offset. Only a +# subsample of pixels is used. Masked and thresholded pixels are +# ignored. Only the desired statistics are computed to increase +# efficiency. + +procedure ic_stats (im, imref, section, offsets, image, nimages, + domode, domedian, domean, mode, median, mean) + +pointer im # Data image +pointer imref # Reference image for image section +char section[ARB] # Image section +int offsets[nimages,ARB] # Image section offset from data to reference +int image # Image index (for mask I/O) +int nimages # Number of images in offsets. +bool domode, domedian, domean # Statistics to compute +real mode, median, mean # Statistics + +int i, j, ndim, n, nv +real a +pointer sp, v1, v2, dv, va, vb +pointer data, mask, dp, lp, mp, imgnls() + +real asums() +short ic_modes() + +include "../icombine.com" + +begin + call smark (sp) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (dv, IM_MAXDIM, TY_LONG) + call salloc (va, IM_MAXDIM, TY_LONG) + call salloc (vb, IM_MAXDIM, TY_LONG) + + # Determine the image section parameters. This must be in terms of + # the data image pixel coordinates though the section may be specified + # in terms of the reference image coordinates. Limit the number of + # pixels in each dimension to a maximum. + + ndim = IM_NDIM(im) + if (project) + ndim = ndim - 1 + call amovki (1, Memi[v1], IM_MAXDIM) + call amovki (1, Memi[va], IM_MAXDIM) + call amovki (1, Memi[dv], IM_MAXDIM) + call amovi (IM_LEN(imref,1), Memi[vb], ndim) + call ic_section (section, Memi[va], Memi[vb], Memi[dv], ndim) + if (im != imref) + do i = 1, ndim { + Memi[va+i-1] = Memi[va+i-1] - offsets[image,i] + Memi[vb+i-1] = Memi[vb+i-1] - offsets[image,i] + } + + do j = 1, 10 { + n = 1 + do i = 0, ndim-1 { + Memi[v1+i] = max (1, min (Memi[va+i], Memi[vb+i])) + Memi[v2+i] = min (IM_LEN(im,i+1), max (Memi[va+i], Memi[vb+i])) + Memi[dv+i] = j + nv = max (1, (Memi[v2+i] - Memi[v1+i]) / Memi[dv+i] + 1) + Memi[v2+i] = Memi[v1+i] + (nv - 1) * Memi[dv+i] + n = n * nv + } + if (n < NMAX) + break + } + + call amovl (Memi[v1], Memi[va], IM_MAXDIM) + Memi[va] = 1 + if (project) + Memi[va+ndim] = image + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + + # Accumulate the pixel values within the section. Masked pixels and + # thresholded pixels are ignored. + + call salloc (data, n, TY_SHORT) + dp = data + while (imgnls (im, lp, Memi[vb]) != EOF) { + call ic_mget1 (im, image, nimages, offsets[image,1], Memi[va], mask) + lp = lp + Memi[v1] - 1 + if (dflag == D_ALL) { + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + a = Mems[lp] + if (a >= lthresh && a <= hthresh) { + Mems[dp] = a + dp = dp + 1 + } + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + Mems[dp] = Mems[lp] + dp = dp + 1 + lp = lp + Memi[dv] + } + } + } else if (dflag == D_MIX) { + mp = mask + Memi[v1] - 1 + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + a = Mems[lp] + if (a >= lthresh && a <= hthresh) { + Mems[dp] = a + dp = dp + 1 + } + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + Mems[dp] = Mems[lp] + dp = dp + 1 + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } + } + for (i=2; i<=ndim; i=i+1) { + Memi[va+i-1] = Memi[va+i-1] + Memi[dv+i-1] + if (Memi[va+i-1] <= Memi[v2+i-1]) + break + Memi[va+i-1] = Memi[v1+i-1] + } + if (i > ndim) + break + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + } + + # Close mask until it is needed again. + call ic_mclose1 (image, nimages) + + n = dp - data + if (n < 1) { + call sfree (sp) + call error (1, "Image section contains no pixels") + } + + # Compute only statistics needed. + if (domode || domedian) { + call asrts (Mems[data], Mems[data], n) + mode = ic_modes (Mems[data], n) + median = Mems[data+n/2-1] + } + if (domean) + mean = asums (Mems[data], n) / n + + call sfree (sp) +end + + +define NMIN 10 # Minimum number of pixels for mode calculation +define ZRANGE 0.7 # Fraction of pixels about median to use +define ZSTEP 0.01 # Step size for search for mode +define ZBIN 0.1 # Bin size for mode. + +# IC_MODE -- Compute mode of an array. The mode is found by binning +# with a bin size based on the data range over a fraction of the +# pixels about the median and a bin step which may be smaller than the +# bin size. If there are too few points the median is returned. +# The input array must be sorted. + +short procedure ic_modes (a, n) + +short a[n] # Data array +int n # Number of points + +int i, j, k, nmax +real z1, z2, zstep, zbin +short mode +bool fp_equalr() + +begin + if (n < NMIN) + return (a[n/2]) + + # Compute the mode. The array must be sorted. Consider a + # range of values about the median point. Use a bin size which + # is ZBIN of the range. Step the bin limits in ZSTEP fraction of + # the bin size. + + i = 1 + n * (1. - ZRANGE) / 2. + j = 1 + n * (1. + ZRANGE) / 2. + z1 = a[i] + z2 = a[j] + if (fp_equalr (z1, z2)) { + mode = z1 + return (mode) + } + + zstep = ZSTEP * (z2 - z1) + zbin = ZBIN * (z2 - z1) + zstep = max (1., zstep) + zbin = max (1., zbin) + + z1 = z1 - zstep + k = i + nmax = 0 + repeat { + z1 = z1 + zstep + z2 = z1 + zbin + for (; i < j && a[i] < z1; i=i+1) + ; + for (; k < j && a[k] < z2; k=k+1) + ; + if (k - i > nmax) { + nmax = k - i + mode = a[(i+k)/2] + } + } until (k >= j) + + return (mode) +end + +# IC_STAT -- Compute image statistics within specified section. +# The image section is relative to a reference image which may be +# different than the input image and may have an offset. Only a +# subsample of pixels is used. Masked and thresholded pixels are +# ignored. Only the desired statistics are computed to increase +# efficiency. + +procedure ic_stati (im, imref, section, offsets, image, nimages, + domode, domedian, domean, mode, median, mean) + +pointer im # Data image +pointer imref # Reference image for image section +char section[ARB] # Image section +int offsets[nimages,ARB] # Image section offset from data to reference +int image # Image index (for mask I/O) +int nimages # Number of images in offsets. +bool domode, domedian, domean # Statistics to compute +real mode, median, mean # Statistics + +int i, j, ndim, n, nv +real a +pointer sp, v1, v2, dv, va, vb +pointer data, mask, dp, lp, mp, imgnli() + +real asumi() +int ic_modei() + +include "../icombine.com" + +begin + call smark (sp) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (dv, IM_MAXDIM, TY_LONG) + call salloc (va, IM_MAXDIM, TY_LONG) + call salloc (vb, IM_MAXDIM, TY_LONG) + + # Determine the image section parameters. This must be in terms of + # the data image pixel coordinates though the section may be specified + # in terms of the reference image coordinates. Limit the number of + # pixels in each dimension to a maximum. + + ndim = IM_NDIM(im) + if (project) + ndim = ndim - 1 + call amovki (1, Memi[v1], IM_MAXDIM) + call amovki (1, Memi[va], IM_MAXDIM) + call amovki (1, Memi[dv], IM_MAXDIM) + call amovi (IM_LEN(imref,1), Memi[vb], ndim) + call ic_section (section, Memi[va], Memi[vb], Memi[dv], ndim) + if (im != imref) + do i = 1, ndim { + Memi[va+i-1] = Memi[va+i-1] - offsets[image,i] + Memi[vb+i-1] = Memi[vb+i-1] - offsets[image,i] + } + + do j = 1, 10 { + n = 1 + do i = 0, ndim-1 { + Memi[v1+i] = max (1, min (Memi[va+i], Memi[vb+i])) + Memi[v2+i] = min (IM_LEN(im,i+1), max (Memi[va+i], Memi[vb+i])) + Memi[dv+i] = j + nv = max (1, (Memi[v2+i] - Memi[v1+i]) / Memi[dv+i] + 1) + Memi[v2+i] = Memi[v1+i] + (nv - 1) * Memi[dv+i] + n = n * nv + } + if (n < NMAX) + break + } + + call amovl (Memi[v1], Memi[va], IM_MAXDIM) + Memi[va] = 1 + if (project) + Memi[va+ndim] = image + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + + # Accumulate the pixel values within the section. Masked pixels and + # thresholded pixels are ignored. + + call salloc (data, n, TY_INT) + dp = data + while (imgnli (im, lp, Memi[vb]) != EOF) { + call ic_mget1 (im, image, nimages, offsets[image,1], Memi[va], mask) + lp = lp + Memi[v1] - 1 + if (dflag == D_ALL) { + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + a = Memi[lp] + if (a >= lthresh && a <= hthresh) { + Memi[dp] = a + dp = dp + 1 + } + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + Memi[dp] = Memi[lp] + dp = dp + 1 + lp = lp + Memi[dv] + } + } + } else if (dflag == D_MIX) { + mp = mask + Memi[v1] - 1 + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + a = Memi[lp] + if (a >= lthresh && a <= hthresh) { + Memi[dp] = a + dp = dp + 1 + } + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + Memi[dp] = Memi[lp] + dp = dp + 1 + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } + } + for (i=2; i<=ndim; i=i+1) { + Memi[va+i-1] = Memi[va+i-1] + Memi[dv+i-1] + if (Memi[va+i-1] <= Memi[v2+i-1]) + break + Memi[va+i-1] = Memi[v1+i-1] + } + if (i > ndim) + break + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + } + + # Close mask until it is needed again. + call ic_mclose1 (image, nimages) + + n = dp - data + if (n < 1) { + call sfree (sp) + call error (1, "Image section contains no pixels") + } + + # Compute only statistics needed. + if (domode || domedian) { + call asrti (Memi[data], Memi[data], n) + mode = ic_modei (Memi[data], n) + median = Memi[data+n/2-1] + } + if (domean) + mean = asumi (Memi[data], n) / n + + call sfree (sp) +end + + +define NMIN 10 # Minimum number of pixels for mode calculation +define ZRANGE 0.7 # Fraction of pixels about median to use +define ZSTEP 0.01 # Step size for search for mode +define ZBIN 0.1 # Bin size for mode. + +# IC_MODE -- Compute mode of an array. The mode is found by binning +# with a bin size based on the data range over a fraction of the +# pixels about the median and a bin step which may be smaller than the +# bin size. If there are too few points the median is returned. +# The input array must be sorted. + +int procedure ic_modei (a, n) + +int a[n] # Data array +int n # Number of points + +int i, j, k, nmax +real z1, z2, zstep, zbin +int mode +bool fp_equalr() + +begin + if (n < NMIN) + return (a[n/2]) + + # Compute the mode. The array must be sorted. Consider a + # range of values about the median point. Use a bin size which + # is ZBIN of the range. Step the bin limits in ZSTEP fraction of + # the bin size. + + i = 1 + n * (1. - ZRANGE) / 2. + j = 1 + n * (1. + ZRANGE) / 2. + z1 = a[i] + z2 = a[j] + if (fp_equalr (z1, z2)) { + mode = z1 + return (mode) + } + + zstep = ZSTEP * (z2 - z1) + zbin = ZBIN * (z2 - z1) + zstep = max (1., zstep) + zbin = max (1., zbin) + + z1 = z1 - zstep + k = i + nmax = 0 + repeat { + z1 = z1 + zstep + z2 = z1 + zbin + for (; i < j && a[i] < z1; i=i+1) + ; + for (; k < j && a[k] < z2; k=k+1) + ; + if (k - i > nmax) { + nmax = k - i + mode = a[(i+k)/2] + } + } until (k >= j) + + return (mode) +end + +# IC_STAT -- Compute image statistics within specified section. +# The image section is relative to a reference image which may be +# different than the input image and may have an offset. Only a +# subsample of pixels is used. Masked and thresholded pixels are +# ignored. Only the desired statistics are computed to increase +# efficiency. + +procedure ic_statr (im, imref, section, offsets, image, nimages, + domode, domedian, domean, mode, median, mean) + +pointer im # Data image +pointer imref # Reference image for image section +char section[ARB] # Image section +int offsets[nimages,ARB] # Image section offset from data to reference +int image # Image index (for mask I/O) +int nimages # Number of images in offsets. +bool domode, domedian, domean # Statistics to compute +real mode, median, mean # Statistics + +int i, j, ndim, n, nv +real a +pointer sp, v1, v2, dv, va, vb +pointer data, mask, dp, lp, mp, imgnlr() + +real asumr() +real ic_moder() + +include "../icombine.com" + +begin + call smark (sp) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (dv, IM_MAXDIM, TY_LONG) + call salloc (va, IM_MAXDIM, TY_LONG) + call salloc (vb, IM_MAXDIM, TY_LONG) + + # Determine the image section parameters. This must be in terms of + # the data image pixel coordinates though the section may be specified + # in terms of the reference image coordinates. Limit the number of + # pixels in each dimension to a maximum. + + ndim = IM_NDIM(im) + if (project) + ndim = ndim - 1 + call amovki (1, Memi[v1], IM_MAXDIM) + call amovki (1, Memi[va], IM_MAXDIM) + call amovki (1, Memi[dv], IM_MAXDIM) + call amovi (IM_LEN(imref,1), Memi[vb], ndim) + call ic_section (section, Memi[va], Memi[vb], Memi[dv], ndim) + if (im != imref) + do i = 1, ndim { + Memi[va+i-1] = Memi[va+i-1] - offsets[image,i] + Memi[vb+i-1] = Memi[vb+i-1] - offsets[image,i] + } + + do j = 1, 10 { + n = 1 + do i = 0, ndim-1 { + Memi[v1+i] = max (1, min (Memi[va+i], Memi[vb+i])) + Memi[v2+i] = min (IM_LEN(im,i+1), max (Memi[va+i], Memi[vb+i])) + Memi[dv+i] = j + nv = max (1, (Memi[v2+i] - Memi[v1+i]) / Memi[dv+i] + 1) + Memi[v2+i] = Memi[v1+i] + (nv - 1) * Memi[dv+i] + n = n * nv + } + if (n < NMAX) + break + } + + call amovl (Memi[v1], Memi[va], IM_MAXDIM) + Memi[va] = 1 + if (project) + Memi[va+ndim] = image + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + + # Accumulate the pixel values within the section. Masked pixels and + # thresholded pixels are ignored. + + call salloc (data, n, TY_REAL) + dp = data + while (imgnlr (im, lp, Memi[vb]) != EOF) { + call ic_mget1 (im, image, nimages, offsets[image,1], Memi[va], mask) + lp = lp + Memi[v1] - 1 + if (dflag == D_ALL) { + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + a = Memr[lp] + if (a >= lthresh && a <= hthresh) { + Memr[dp] = a + dp = dp + 1 + } + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + Memr[dp] = Memr[lp] + dp = dp + 1 + lp = lp + Memi[dv] + } + } + } else if (dflag == D_MIX) { + mp = mask + Memi[v1] - 1 + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + a = Memr[lp] + if (a >= lthresh && a <= hthresh) { + Memr[dp] = a + dp = dp + 1 + } + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + Memr[dp] = Memr[lp] + dp = dp + 1 + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } + } + for (i=2; i<=ndim; i=i+1) { + Memi[va+i-1] = Memi[va+i-1] + Memi[dv+i-1] + if (Memi[va+i-1] <= Memi[v2+i-1]) + break + Memi[va+i-1] = Memi[v1+i-1] + } + if (i > ndim) + break + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + } + + # Close mask until it is needed again. + call ic_mclose1 (image, nimages) + + n = dp - data + if (n < 1) { + call sfree (sp) + call error (1, "Image section contains no pixels") + } + + # Compute only statistics needed. + if (domode || domedian) { + call asrtr (Memr[data], Memr[data], n) + mode = ic_moder (Memr[data], n) + median = Memr[data+n/2-1] + } + if (domean) + mean = asumr (Memr[data], n) / n + + call sfree (sp) +end + + +define NMIN 10 # Minimum number of pixels for mode calculation +define ZRANGE 0.7 # Fraction of pixels about median to use +define ZSTEP 0.01 # Step size for search for mode +define ZBIN 0.1 # Bin size for mode. + +# IC_MODE -- Compute mode of an array. The mode is found by binning +# with a bin size based on the data range over a fraction of the +# pixels about the median and a bin step which may be smaller than the +# bin size. If there are too few points the median is returned. +# The input array must be sorted. + +real procedure ic_moder (a, n) + +real a[n] # Data array +int n # Number of points + +int i, j, k, nmax +real z1, z2, zstep, zbin +real mode +bool fp_equalr() + +begin + if (n < NMIN) + return (a[n/2]) + + # Compute the mode. The array must be sorted. Consider a + # range of values about the median point. Use a bin size which + # is ZBIN of the range. Step the bin limits in ZSTEP fraction of + # the bin size. + + i = 1 + n * (1. - ZRANGE) / 2. + j = 1 + n * (1. + ZRANGE) / 2. + z1 = a[i] + z2 = a[j] + if (fp_equalr (z1, z2)) { + mode = z1 + return (mode) + } + + zstep = ZSTEP * (z2 - z1) + zbin = ZBIN * (z2 - z1) + + z1 = z1 - zstep + k = i + nmax = 0 + repeat { + z1 = z1 + zstep + z2 = z1 + zbin + for (; i < j && a[i] < z1; i=i+1) + ; + for (; k < j && a[k] < z2; k=k+1) + ; + if (k - i > nmax) { + nmax = k - i + mode = a[(i+k)/2] + } + } until (k >= j) + + return (mode) +end + +# IC_STAT -- Compute image statistics within specified section. +# The image section is relative to a reference image which may be +# different than the input image and may have an offset. Only a +# subsample of pixels is used. Masked and thresholded pixels are +# ignored. Only the desired statistics are computed to increase +# efficiency. + +procedure ic_statd (im, imref, section, offsets, image, nimages, + domode, domedian, domean, mode, median, mean) + +pointer im # Data image +pointer imref # Reference image for image section +char section[ARB] # Image section +int offsets[nimages,ARB] # Image section offset from data to reference +int image # Image index (for mask I/O) +int nimages # Number of images in offsets. +bool domode, domedian, domean # Statistics to compute +real mode, median, mean # Statistics + +int i, j, ndim, n, nv +real a +pointer sp, v1, v2, dv, va, vb +pointer data, mask, dp, lp, mp, imgnld() + +double asumd() +double ic_moded() + +include "../icombine.com" + +begin + call smark (sp) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (dv, IM_MAXDIM, TY_LONG) + call salloc (va, IM_MAXDIM, TY_LONG) + call salloc (vb, IM_MAXDIM, TY_LONG) + + # Determine the image section parameters. This must be in terms of + # the data image pixel coordinates though the section may be specified + # in terms of the reference image coordinates. Limit the number of + # pixels in each dimension to a maximum. + + ndim = IM_NDIM(im) + if (project) + ndim = ndim - 1 + call amovki (1, Memi[v1], IM_MAXDIM) + call amovki (1, Memi[va], IM_MAXDIM) + call amovki (1, Memi[dv], IM_MAXDIM) + call amovi (IM_LEN(imref,1), Memi[vb], ndim) + call ic_section (section, Memi[va], Memi[vb], Memi[dv], ndim) + if (im != imref) + do i = 1, ndim { + Memi[va+i-1] = Memi[va+i-1] - offsets[image,i] + Memi[vb+i-1] = Memi[vb+i-1] - offsets[image,i] + } + + do j = 1, 10 { + n = 1 + do i = 0, ndim-1 { + Memi[v1+i] = max (1, min (Memi[va+i], Memi[vb+i])) + Memi[v2+i] = min (IM_LEN(im,i+1), max (Memi[va+i], Memi[vb+i])) + Memi[dv+i] = j + nv = max (1, (Memi[v2+i] - Memi[v1+i]) / Memi[dv+i] + 1) + Memi[v2+i] = Memi[v1+i] + (nv - 1) * Memi[dv+i] + n = n * nv + } + if (n < NMAX) + break + } + + call amovl (Memi[v1], Memi[va], IM_MAXDIM) + Memi[va] = 1 + if (project) + Memi[va+ndim] = image + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + + # Accumulate the pixel values within the section. Masked pixels and + # thresholded pixels are ignored. + + call salloc (data, n, TY_DOUBLE) + dp = data + while (imgnld (im, lp, Memi[vb]) != EOF) { + call ic_mget1 (im, image, nimages, offsets[image,1], Memi[va], mask) + lp = lp + Memi[v1] - 1 + if (dflag == D_ALL) { + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + a = Memd[lp] + if (a >= lthresh && a <= hthresh) { + Memd[dp] = a + dp = dp + 1 + } + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + Memd[dp] = Memd[lp] + dp = dp + 1 + lp = lp + Memi[dv] + } + } + } else if (dflag == D_MIX) { + mp = mask + Memi[v1] - 1 + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + a = Memd[lp] + if (a >= lthresh && a <= hthresh) { + Memd[dp] = a + dp = dp + 1 + } + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + Memd[dp] = Memd[lp] + dp = dp + 1 + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } + } + for (i=2; i<=ndim; i=i+1) { + Memi[va+i-1] = Memi[va+i-1] + Memi[dv+i-1] + if (Memi[va+i-1] <= Memi[v2+i-1]) + break + Memi[va+i-1] = Memi[v1+i-1] + } + if (i > ndim) + break + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + } + + # Close mask until it is needed again. + call ic_mclose1 (image, nimages) + + n = dp - data + if (n < 1) { + call sfree (sp) + call error (1, "Image section contains no pixels") + } + + # Compute only statistics needed. + if (domode || domedian) { + call asrtd (Memd[data], Memd[data], n) + mode = ic_moded (Memd[data], n) + median = Memd[data+n/2-1] + } + if (domean) + mean = asumd (Memd[data], n) / n + + call sfree (sp) +end + + +define NMIN 10 # Minimum number of pixels for mode calculation +define ZRANGE 0.7 # Fraction of pixels about median to use +define ZSTEP 0.01 # Step size for search for mode +define ZBIN 0.1 # Bin size for mode. + +# IC_MODE -- Compute mode of an array. The mode is found by binning +# with a bin size based on the data range over a fraction of the +# pixels about the median and a bin step which may be smaller than the +# bin size. If there are too few points the median is returned. +# The input array must be sorted. + +double procedure ic_moded (a, n) + +double a[n] # Data array +int n # Number of points + +int i, j, k, nmax +real z1, z2, zstep, zbin +double mode +bool fp_equalr() + +begin + if (n < NMIN) + return (a[n/2]) + + # Compute the mode. The array must be sorted. Consider a + # range of values about the median point. Use a bin size which + # is ZBIN of the range. Step the bin limits in ZSTEP fraction of + # the bin size. + + i = 1 + n * (1. - ZRANGE) / 2. + j = 1 + n * (1. + ZRANGE) / 2. + z1 = a[i] + z2 = a[j] + if (fp_equalr (z1, z2)) { + mode = z1 + return (mode) + } + + zstep = ZSTEP * (z2 - z1) + zbin = ZBIN * (z2 - z1) + + z1 = z1 - zstep + k = i + nmax = 0 + repeat { + z1 = z1 + zstep + z2 = z1 + zbin + for (; i < j && a[i] < z1; i=i+1) + ; + for (; k < j && a[k] < z2; k=k+1) + ; + if (k - i > nmax) { + nmax = k - i + mode = a[(i+k)/2] + } + } until (k >= j) + + return (mode) +end + diff --git a/pkg/images/immatch/src/imcombine/src/generic/mkpkg b/pkg/images/immatch/src/imcombine/src/generic/mkpkg new file mode 100644 index 00000000..af2fd0a8 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/mkpkg @@ -0,0 +1,27 @@ +# Make IMCOMBINE. + +$checkout libimc.a lib$ +$update libimc.a +$checkin libimc.a lib$ +$exit + +libimc.a: + icaclip.x ../icombine.com ../icombine.h + icaverage.x ../icombine.com ../icombine.h <imhdr.h> + iccclip.x ../icombine.com ../icombine.h + icgdata.x ../icombine.com ../icombine.h <imhdr.h> <mach.h> + icgrow.x ../icombine.com ../icombine.h <imhdr.h> <pmset.h> + icmedian.x ../icombine.com ../icombine.h + icmm.x ../icombine.com ../icombine.h + icnmodel.x ../icombine.com ../icombine.h <imhdr.h> + icomb.x ../icombine.com ../icombine.h <error.h> <imhdr.h>\ + <imset.h> <mach.h> <pmset.h> <syserr.h> + icpclip.x ../icombine.com ../icombine.h + icquad.x ../icombine.com ../icombine.h <imhdr.h> + icsclip.x ../icombine.com ../icombine.h + icsigma.x ../icombine.com ../icombine.h <imhdr.h> + icsort.x + icstat.x ../icombine.com ../icombine.h <imhdr.h> + + xtimmap.x xtimmap.com <config.h> <error.h> <imhdr.h> <imset.h> + ; diff --git a/pkg/images/immatch/src/imcombine/src/generic/xtimmap.com b/pkg/images/immatch/src/imcombine/src/generic/xtimmap.com new file mode 100644 index 00000000..57fcb8a0 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/xtimmap.com @@ -0,0 +1,9 @@ +int option +int nopen +int nopenpix +int nalloc +int last_flag +int min_open +int max_openim +pointer ims +common /xtimmapcom/ option, ims, nopen, nopenpix, nalloc, last_flag, min_open, max_openim diff --git a/pkg/images/immatch/src/imcombine/src/generic/xtimmap.x b/pkg/images/immatch/src/imcombine/src/generic/xtimmap.x new file mode 100644 index 00000000..fcc53124 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/generic/xtimmap.x @@ -0,0 +1,1207 @@ +include <syserr.h> +include <error.h> +include <imhdr.h> +include <imset.h> +include <config.h> + +# The following is for compiling under V2.11. +define IM_BUFFRAC IM_BUFSIZE +include <imset.h> + +define VERBOSE false + +# These routines maintain an arbitrary number of indexed "open" images which +# must be READ_ONLY. The calling program may use the returned pointer for +# header accesses but must call xt_opix before I/O. Subsequent calls to +# xt_opix may invalidate the pointer. The xt_imunmap call will free memory. + +define MAX_OPENIM (LAST_FD-16) # Maximum images kept open +define MAX_OPENPIX 45 # Maximum pixel files kept open + +define XT_SZIMNAME 299 # Size of IMNAME string +define XT_LEN 179 # Structure length +define XT_IMNAME Memc[P2C($1)] # Image name +define XT_ARG Memi[$1+150] # IMMAP header argument +define XT_IM Memi[$1+151] # IMIO pointer +define XT_HDR Memi[$1+152] # Copy of IMIO pointer +define XT_CLOSEFD Memi[$1+153] # Close FD? +define XT_FLAG Memi[$1+154] # Flag +define XT_BUFSIZE Memi[$1+155] # Buffer size +define XT_BUF Memi[$1+156] # Data buffer +define XT_BTYPE Memi[$1+157] # Data buffer type +define XT_VS Memi[$1+157+$2] # Start vector (10) +define XT_VE Memi[$1+167+$2] # End vector (10) + +# Options +define XT_MAPUNMAP 1 # Map and unmap images. + +# XT_IMMAP -- Map an image and save it as an indexed open image. +# The returned pointer may be used for header access but not I/O. +# The indexed image is closed by xt_imunmap. + +pointer procedure xt_immap (imname, acmode, hdr_arg, index, retry) + +char imname[ARB] #I Image name +int acmode #I Access mode +int hdr_arg #I Header argument +int index #I Save index +int retry #I Retry counter +pointer im #O Image pointer (returned) + +int i, envgeti() +pointer xt, xt_opix() +errchk xt_opix + +int first_time +data first_time /YES/ + +include "xtimmap.com" + +begin + if (acmode != READ_ONLY) + call error (1, "XT_IMMAP: Only READ_ONLY allowed") + + # Set maximum number of open images based on retry. + if (retry > 0) + max_openim = min (1024, MAX_OPENIM) / retry + else + max_openim = MAX_OPENIM + + # Initialize once per process. + if (first_time == YES) { + iferr (option = envgeti ("imcombine_option")) + option = 1 + min_open = 1 + nopen = 0 + nopenpix = 0 + nalloc = max_openim + call calloc (ims, nalloc, TY_POINTER) + first_time = NO + } + + # Free image if needed. + call xt_imunmap (NULL, index) + + # Allocate structure. + if (index > nalloc) { + i = nalloc + nalloc = index + max_openim + call realloc (ims, nalloc, TY_STRUCT) + call amovki (NULL, Memi[ims+i], nalloc-i) + } + call calloc (xt, XT_LEN, TY_STRUCT) + Memi[ims+index-1] = xt + + # Initialize. + call strcpy (imname, XT_IMNAME(xt), XT_SZIMNAME) + XT_ARG(xt) = hdr_arg + XT_IM(xt) = NULL + XT_HDR(xt) = NULL + + # Open image. + last_flag = 0 + im = xt_opix (NULL, index, 0) + + # Make copy of IMIO pointer for header keyword access. + call malloc (XT_HDR(xt), LEN_IMDES+IM_HDRLEN(im)+1, TY_STRUCT) + call amovi (Memi[im], Memi[XT_HDR(xt)], LEN_IMDES) + call amovi (IM_MAGIC(im), IM_MAGIC(XT_HDR(xt)), IM_HDRLEN(im)+1) + + return (XT_HDR(xt)) +end + + +# XT_OPIX -- Open the image for I/O. +# If the image has not been mapped return the default pointer. + +pointer procedure xt_opix (imdef, index, flag) + +int index #I index +pointer imdef #I Default pointer +int flag #I Flag + +int i, open(), imstati() +pointer im, xt, xt1, immap() +errchk open, immap, imunmap + +include "xtimmap.com" + +begin + # Get index pointer. + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + # Use default pointer if index has not been mapped. + if (xt == NULL) + return (imdef) + + # Close images not accessed during previous line. + # In normal usage this should only occur once per line over all + # indexed images. + if (flag != last_flag) { + do i = 1, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL || XT_FLAG(xt1) == last_flag) + next + if (VERBOSE) { + call eprintf ("%d: xt_opix imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + call mfree (XT_BUF(xt1), XT_BTYPE(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + } + + # Optimize the file I/O. + do i = nalloc, 1, -1 { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + min_open = i + if (nopenpix < MAX_OPENPIX) { + if (XT_CLOSEFD(xt1) == NO) + next + XT_CLOSEFD(xt1) = NO + call imseti (im, IM_CLOSEFD, NO) + nopenpix = nopenpix + 1 + } + } + last_flag = flag + } + + # Return pointer for already opened images. + im = XT_IM(xt) + if (im != NULL) { + XT_FLAG(xt) = flag + return (im) + } + + # Handle more images than the maximum that can be open at one time. + if (nopen >= max_openim) { + if (option == XT_MAPUNMAP || flag == 0) { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + if (VERBOSE) { + call eprintf ("%d: imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + min_open = i + 1 + break + } + if (index <= min_open) + min_open = index + else { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + min_open = i + break + } + } + } else { + # Check here because we can't catch error in immap. + i = open ("dev$null", READ_ONLY, BINARY_FILE) + call close (i) + if (i == LAST_FD - 1) + call error (SYS_FTOOMANYFILES, "Too many open files") + } + } + + # Open image. + if (VERBOSE) { + call eprintf ("%d: xt_opix immap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + im = immap (XT_IMNAME(xt), READ_ONLY, XT_ARG(xt)) + XT_IM(xt) = im + if (!IS_INDEFI(XT_BUFSIZE(xt))) + call imseti (im, IM_BUFSIZE, XT_BUFSIZE(xt)) + else + XT_BUFSIZE(xt) = imstati (im, IM_BUFSIZE) + nopen = nopen + 1 + XT_CLOSEFD(xt) = YES + if (nopenpix < MAX_OPENPIX) { + XT_CLOSEFD(xt) = NO + nopenpix = nopenpix + 1 + } + if (XT_CLOSEFD(xt) == YES) + call imseti (im, IM_CLOSEFD, YES) + XT_FLAG(xt) = flag + + return (im) +end + + +# XT_CPIX -- Close image. + +procedure xt_cpix (index) + +int index #I index + +pointer xt +errchk imunmap + +include "xtimmap.com" + +begin + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + if (xt == NULL) + return + + if (XT_IM(xt) != NULL) { + if (VERBOSE) { + call eprintf ("%d: xt_cpix imunmap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + call imunmap (XT_IM(xt)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt) == NO) + nopenpix = nopenpix - 1 + } + call mfree (XT_BUF(xt), XT_BTYPE(xt)) +end + + +# XT_IMSETI -- Set IMIO value. + +procedure xt_imseti (index, param, value) + +int index #I index +int param #I IMSET parameter +int value #I Value + +pointer xt +bool streq() + +include "xtimmap.com" + +begin + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + if (xt == NULL) { + if (streq (param, "option")) + option = value + } else { + if (streq (param, "bufsize")) { + XT_BUFSIZE(xt) = value + if (XT_IM(xt) != NULL) { + call imseti (XT_IM(xt), IM_BUFFRAC, 0) + call imseti (XT_IM(xt), IM_BUFSIZE, value) + } + } + } +end + + +# XT_IMUNMAP -- Unmap indexed open image. +# The header pointer is set to NULL to indicate the image has been closed. + +procedure xt_imunmap (im, index) + +int im #U IMIO header pointer +int index #I index + +pointer xt +errchk imunmap + +include "xtimmap.com" + +begin + # Check for an indexed image. If it is not unmap the pointer + # as a regular IMIO pointer. + + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + if (xt == NULL) { + if (im != NULL) + call imunmap (im) + return + } + + # Close indexed image. + if (XT_IM(xt) != NULL) { + if (VERBOSE) { + call eprintf ("%d: xt_imunmap imunmap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + iferr (call imunmap (XT_IM(xt))) { + XT_IM(xt) = NULL + call erract (EA_WARN) + } + nopen = nopen - 1 + if (XT_CLOSEFD(xt) == NO) + nopenpix = nopenpix - 1 + if (index == min_open) + min_open = 1 + } + + # Free any buffered memory. + call mfree (XT_BUF(xt), XT_BTYPE(xt)) + + # Free header pointer. Note that if the supplied pointer is not + # header pointer then it is not set to NULL. + if (XT_HDR(xt) == im) + im = NULL + call mfree (XT_HDR(xt), TY_STRUCT) + + # Free save structure. + call mfree (Memi[ims+index-1], TY_STRUCT) + Memi[ims+index-1] = NULL +end + + +# XT_MINHDR -- Minimize header assuming keywords will not be accessed. + +procedure xt_minhdr (index) + +int index #I index + +pointer xt +errchk realloc + +include "xtimmap.com" + +begin + # Check for an indexed image. If it is not unmap the pointer + # as a regular IMIO pointer. + + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + if (xt == NULL) + return + + # Minimize header pointer. + if (VERBOSE) { + call eprintf ("%d: xt_minhdr %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + call realloc (XT_HDR(xt), IMU+1, TY_STRUCT) + if (XT_IM(xt) != NULL) + call realloc (XT_IM(xt), IMU+1, TY_STRUCT) +end + + +# XT_REINDEX -- Reindex open images. +# This is used when some images are closed by xt_imunmap. It is up to +# the calling program to reindex the header pointers and to subsequently +# use the new index values. + +procedure xt_reindex () + +int old, new + +include "xtimmap.com" + +begin + new = 0 + do old = 0, nalloc-1 { + if (Memi[ims+old] == NULL) + next + Memi[ims+new] = Memi[ims+old] + new = new + 1 + } + do old = new, nalloc-1 + Memi[ims+old] = NULL +end + + + +# XT_IMGNL -- Return the next line for the indexed image. +# Possibly unmap another image if too many files are open. +# Buffer data when an image is unmmaped to minimize the mapping of images. +# If the requested index has not been mapped use the default pointer. + +int procedure xt_imgnls (imdef, index, buf, v, flag) + +pointer imdef #I Default pointer +int index #I index +pointer buf #O Data buffer +long v[ARB] #I Line vector +int flag #I Flag (=output line) + +int i, j, nc, nl, open(), imgnls(), sizeof(), imloop() +pointer im, xt, xt1, ptr, immap(), imggss() +errchk open, immap, imgnls, imggss, imunmap + +long unit_v[IM_MAXDIM] +data unit_v /IM_MAXDIM * 1/ + +include "xtimmap.com" + +begin + # Get index pointer. + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + # Use default pointer if index has not been mapped. + if (xt == NULL) + return (imgnls (imdef, buf, v)) + + # Close images not accessed during previous line. + # In normal usage this should only occur once per line over all + # indexed images. + if (flag != last_flag) { + do i = 1, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL || XT_FLAG(xt1) == last_flag) + next + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + call mfree (XT_BUF(xt1), XT_BTYPE(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + } + + # Optimize the file I/O. + do i = nalloc, 1, -1 { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + min_open = i + if (nopenpix < MAX_OPENPIX) { + if (XT_CLOSEFD(xt1) == NO) + next + XT_CLOSEFD(xt1) = NO + call imseti (im, IM_CLOSEFD, NO) + nopenpix = nopenpix + 1 + } + } + last_flag = flag + } + + # Use IMIO for already opened images. + im = XT_IM(xt) + if (im != NULL) { + XT_FLAG(xt) = flag + return (imgnls (im, buf, v)) + } + + # If the image is not currently mapped use the stored header. + im = XT_HDR(xt) + + # Check for EOF. + i = IM_NDIM(im) + if (v[i] > IM_LEN(im,i)) + return (EOF) + + # Check for buffered data. + if (XT_BUF(xt) != NULL) { + if (v[2] >= XT_VS(xt,2) && v[2] <= XT_VE(xt,2)) { + if (XT_BTYPE(xt) != TY_SHORT) + call error (1, "Cannot mix data types") + nc = IM_LEN(im,1) + buf = XT_BUF(xt) + (v[2]-XT_VS(xt,2)) * IM_LEN(im,1) + XT_FLAG(xt) = flag + if (i == 1) + v[1] = nc + 1 + else + j = imloop (v, unit_v, IM_LEN(im,1), unit_v, i) + return (nc) + } + } + + # Handle more images than the maximum that can be open at one time. + if (nopen >= max_openim) { + if (option == XT_MAPUNMAP || v[2] == 0) { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + + # Buffer some number of lines. + nl = XT_BUFSIZE(xt1) / sizeof (TY_SHORT) / IM_LEN(im,1) + if (nl > 1) { + nc = IM_LEN(im,1) + call amovl (v, XT_VS(xt1,1), IM_MAXDIM) + call amovl (v, XT_VE(xt1,1), IM_MAXDIM) + XT_VS(xt1,1) = 1 + XT_VE(xt1,1) = nc + XT_VE(xt1,2) = min (XT_VS(xt1,2)+(nl-1), IM_LEN(im,2)) + nl = XT_VE(xt1,2) - XT_VS(xt1,2) + 1 + XT_BTYPE(xt1) = TY_SHORT + call malloc (XT_BUF(xt1), nl*nc, XT_BTYPE(xt1)) + ptr = imggss (im, XT_VS(xt1,1), XT_VE(xt1,1), + IM_NDIM(im)) + call amovs (Mems[ptr], Mems[XT_BUF(xt1)], nl*nc) + } + + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + min_open = i + 1 + break + } + if (index <= min_open) + min_open = index + else { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + if (XT_IM(xt1) == NULL) + next + min_open = i + break + } + } + } else { + # Check here because we can't catch error in immap. + i = open ("dev$null", READ_ONLY, BINARY_FILE) + call close (i) + if (i == LAST_FD - 1) + call error (SYS_FTOOMANYFILES, "Too many open files") + } + } + + # Open image. + if (VERBOSE) { + call eprintf ("%d: xt_imgnl immap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + im = immap (XT_IMNAME(xt), READ_ONLY, XT_ARG(xt)) + XT_IM(xt) = im + call imseti (im, IM_BUFSIZE, XT_BUFSIZE(xt)) + call mfree (XT_BUF(xt), XT_BTYPE(xt)) + nopen = nopen + 1 + XT_CLOSEFD(xt) = YES + if (nopenpix < MAX_OPENPIX) { + XT_CLOSEFD(xt) = NO + nopenpix = nopenpix + 1 + } + if (XT_CLOSEFD(xt) == YES) + call imseti (im, IM_CLOSEFD, YES) + XT_FLAG(xt) = flag + + return (imgnls (im, buf, v)) +end + +# XT_IMGNL -- Return the next line for the indexed image. +# Possibly unmap another image if too many files are open. +# Buffer data when an image is unmmaped to minimize the mapping of images. +# If the requested index has not been mapped use the default pointer. + +int procedure xt_imgnli (imdef, index, buf, v, flag) + +pointer imdef #I Default pointer +int index #I index +pointer buf #O Data buffer +long v[ARB] #I Line vector +int flag #I Flag (=output line) + +int i, j, nc, nl, open(), imgnli(), sizeof(), imloop() +pointer im, xt, xt1, ptr, immap(), imggsi() +errchk open, immap, imgnli, imggsi, imunmap + +long unit_v[IM_MAXDIM] +data unit_v /IM_MAXDIM * 1/ + +include "xtimmap.com" + +begin + # Get index pointer. + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + # Use default pointer if index has not been mapped. + if (xt == NULL) + return (imgnli (imdef, buf, v)) + + # Close images not accessed during previous line. + # In normal usage this should only occur once per line over all + # indexed images. + if (flag != last_flag) { + do i = 1, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL || XT_FLAG(xt1) == last_flag) + next + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + call mfree (XT_BUF(xt1), XT_BTYPE(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + } + + # Optimize the file I/O. + do i = nalloc, 1, -1 { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + min_open = i + if (nopenpix < MAX_OPENPIX) { + if (XT_CLOSEFD(xt1) == NO) + next + XT_CLOSEFD(xt1) = NO + call imseti (im, IM_CLOSEFD, NO) + nopenpix = nopenpix + 1 + } + } + last_flag = flag + } + + # Use IMIO for already opened images. + im = XT_IM(xt) + if (im != NULL) { + XT_FLAG(xt) = flag + return (imgnli (im, buf, v)) + } + + # If the image is not currently mapped use the stored header. + im = XT_HDR(xt) + + # Check for EOF. + i = IM_NDIM(im) + if (v[i] > IM_LEN(im,i)) + return (EOF) + + # Check for buffered data. + if (XT_BUF(xt) != NULL) { + if (v[2] >= XT_VS(xt,2) && v[2] <= XT_VE(xt,2)) { + if (XT_BTYPE(xt) != TY_INT) + call error (1, "Cannot mix data types") + nc = IM_LEN(im,1) + buf = XT_BUF(xt) + (v[2]-XT_VS(xt,2)) * IM_LEN(im,1) + XT_FLAG(xt) = flag + if (i == 1) + v[1] = nc + 1 + else + j = imloop (v, unit_v, IM_LEN(im,1), unit_v, i) + return (nc) + } + } + + # Handle more images than the maximum that can be open at one time. + if (nopen >= max_openim) { + if (option == XT_MAPUNMAP || v[2] == 0) { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + + # Buffer some number of lines. + nl = XT_BUFSIZE(xt1) / sizeof (TY_INT) / IM_LEN(im,1) + if (nl > 1) { + nc = IM_LEN(im,1) + call amovl (v, XT_VS(xt1,1), IM_MAXDIM) + call amovl (v, XT_VE(xt1,1), IM_MAXDIM) + XT_VS(xt1,1) = 1 + XT_VE(xt1,1) = nc + XT_VE(xt1,2) = min (XT_VS(xt1,2)+(nl-1), IM_LEN(im,2)) + nl = XT_VE(xt1,2) - XT_VS(xt1,2) + 1 + XT_BTYPE(xt1) = TY_INT + call malloc (XT_BUF(xt1), nl*nc, XT_BTYPE(xt1)) + ptr = imggsi (im, XT_VS(xt1,1), XT_VE(xt1,1), + IM_NDIM(im)) + call amovi (Memi[ptr], Memi[XT_BUF(xt1)], nl*nc) + } + + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + min_open = i + 1 + break + } + if (index <= min_open) + min_open = index + else { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + if (XT_IM(xt1) == NULL) + next + min_open = i + break + } + } + } else { + # Check here because we can't catch error in immap. + i = open ("dev$null", READ_ONLY, BINARY_FILE) + call close (i) + if (i == LAST_FD - 1) + call error (SYS_FTOOMANYFILES, "Too many open files") + } + } + + # Open image. + if (VERBOSE) { + call eprintf ("%d: xt_imgnl immap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + im = immap (XT_IMNAME(xt), READ_ONLY, XT_ARG(xt)) + XT_IM(xt) = im + call imseti (im, IM_BUFSIZE, XT_BUFSIZE(xt)) + call mfree (XT_BUF(xt), XT_BTYPE(xt)) + nopen = nopen + 1 + XT_CLOSEFD(xt) = YES + if (nopenpix < MAX_OPENPIX) { + XT_CLOSEFD(xt) = NO + nopenpix = nopenpix + 1 + } + if (XT_CLOSEFD(xt) == YES) + call imseti (im, IM_CLOSEFD, YES) + XT_FLAG(xt) = flag + + return (imgnli (im, buf, v)) +end + +# XT_IMGNL -- Return the next line for the indexed image. +# Possibly unmap another image if too many files are open. +# Buffer data when an image is unmmaped to minimize the mapping of images. +# If the requested index has not been mapped use the default pointer. + +int procedure xt_imgnlr (imdef, index, buf, v, flag) + +pointer imdef #I Default pointer +int index #I index +pointer buf #O Data buffer +long v[ARB] #I Line vector +int flag #I Flag (=output line) + +int i, j, nc, nl, open(), imgnlr(), sizeof(), imloop() +pointer im, xt, xt1, ptr, immap(), imggsr() +errchk open, immap, imgnlr, imggsr, imunmap + +long unit_v[IM_MAXDIM] +data unit_v /IM_MAXDIM * 1/ + +include "xtimmap.com" + +begin + # Get index pointer. + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + # Use default pointer if index has not been mapped. + if (xt == NULL) + return (imgnlr (imdef, buf, v)) + + # Close images not accessed during previous line. + # In normal usage this should only occur once per line over all + # indexed images. + if (flag != last_flag) { + do i = 1, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL || XT_FLAG(xt1) == last_flag) + next + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + call mfree (XT_BUF(xt1), XT_BTYPE(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + } + + # Optimize the file I/O. + do i = nalloc, 1, -1 { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + min_open = i + if (nopenpix < MAX_OPENPIX) { + if (XT_CLOSEFD(xt1) == NO) + next + XT_CLOSEFD(xt1) = NO + call imseti (im, IM_CLOSEFD, NO) + nopenpix = nopenpix + 1 + } + } + last_flag = flag + } + + # Use IMIO for already opened images. + im = XT_IM(xt) + if (im != NULL) { + XT_FLAG(xt) = flag + return (imgnlr (im, buf, v)) + } + + # If the image is not currently mapped use the stored header. + im = XT_HDR(xt) + + # Check for EOF. + i = IM_NDIM(im) + if (v[i] > IM_LEN(im,i)) + return (EOF) + + # Check for buffered data. + if (XT_BUF(xt) != NULL) { + if (v[2] >= XT_VS(xt,2) && v[2] <= XT_VE(xt,2)) { + if (XT_BTYPE(xt) != TY_REAL) + call error (1, "Cannot mix data types") + nc = IM_LEN(im,1) + buf = XT_BUF(xt) + (v[2]-XT_VS(xt,2)) * IM_LEN(im,1) + XT_FLAG(xt) = flag + if (i == 1) + v[1] = nc + 1 + else + j = imloop (v, unit_v, IM_LEN(im,1), unit_v, i) + return (nc) + } + } + + # Handle more images than the maximum that can be open at one time. + if (nopen >= max_openim) { + if (option == XT_MAPUNMAP || v[2] == 0) { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + + # Buffer some number of lines. + nl = XT_BUFSIZE(xt1) / sizeof (TY_REAL) / IM_LEN(im,1) + if (nl > 1) { + nc = IM_LEN(im,1) + call amovl (v, XT_VS(xt1,1), IM_MAXDIM) + call amovl (v, XT_VE(xt1,1), IM_MAXDIM) + XT_VS(xt1,1) = 1 + XT_VE(xt1,1) = nc + XT_VE(xt1,2) = min (XT_VS(xt1,2)+(nl-1), IM_LEN(im,2)) + nl = XT_VE(xt1,2) - XT_VS(xt1,2) + 1 + XT_BTYPE(xt1) = TY_REAL + call malloc (XT_BUF(xt1), nl*nc, XT_BTYPE(xt1)) + ptr = imggsr (im, XT_VS(xt1,1), XT_VE(xt1,1), + IM_NDIM(im)) + call amovr (Memr[ptr], Memr[XT_BUF(xt1)], nl*nc) + } + + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + min_open = i + 1 + break + } + if (index <= min_open) + min_open = index + else { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + if (XT_IM(xt1) == NULL) + next + min_open = i + break + } + } + } else { + # Check here because we can't catch error in immap. + i = open ("dev$null", READ_ONLY, BINARY_FILE) + call close (i) + if (i == LAST_FD - 1) + call error (SYS_FTOOMANYFILES, "Too many open files") + } + } + + # Open image. + if (VERBOSE) { + call eprintf ("%d: xt_imgnl immap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + im = immap (XT_IMNAME(xt), READ_ONLY, XT_ARG(xt)) + XT_IM(xt) = im + call imseti (im, IM_BUFSIZE, XT_BUFSIZE(xt)) + call mfree (XT_BUF(xt), XT_BTYPE(xt)) + nopen = nopen + 1 + XT_CLOSEFD(xt) = YES + if (nopenpix < MAX_OPENPIX) { + XT_CLOSEFD(xt) = NO + nopenpix = nopenpix + 1 + } + if (XT_CLOSEFD(xt) == YES) + call imseti (im, IM_CLOSEFD, YES) + XT_FLAG(xt) = flag + + return (imgnlr (im, buf, v)) +end + +# XT_IMGNL -- Return the next line for the indexed image. +# Possibly unmap another image if too many files are open. +# Buffer data when an image is unmmaped to minimize the mapping of images. +# If the requested index has not been mapped use the default pointer. + +int procedure xt_imgnld (imdef, index, buf, v, flag) + +pointer imdef #I Default pointer +int index #I index +pointer buf #O Data buffer +long v[ARB] #I Line vector +int flag #I Flag (=output line) + +int i, j, nc, nl, open(), imgnld(), sizeof(), imloop() +pointer im, xt, xt1, ptr, immap(), imggsd() +errchk open, immap, imgnld, imggsd, imunmap + +long unit_v[IM_MAXDIM] +data unit_v /IM_MAXDIM * 1/ + +include "xtimmap.com" + +begin + # Get index pointer. + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + # Use default pointer if index has not been mapped. + if (xt == NULL) + return (imgnld (imdef, buf, v)) + + # Close images not accessed during previous line. + # In normal usage this should only occur once per line over all + # indexed images. + if (flag != last_flag) { + do i = 1, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL || XT_FLAG(xt1) == last_flag) + next + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + call mfree (XT_BUF(xt1), XT_BTYPE(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + } + + # Optimize the file I/O. + do i = nalloc, 1, -1 { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + min_open = i + if (nopenpix < MAX_OPENPIX) { + if (XT_CLOSEFD(xt1) == NO) + next + XT_CLOSEFD(xt1) = NO + call imseti (im, IM_CLOSEFD, NO) + nopenpix = nopenpix + 1 + } + } + last_flag = flag + } + + # Use IMIO for already opened images. + im = XT_IM(xt) + if (im != NULL) { + XT_FLAG(xt) = flag + return (imgnld (im, buf, v)) + } + + # If the image is not currently mapped use the stored header. + im = XT_HDR(xt) + + # Check for EOF. + i = IM_NDIM(im) + if (v[i] > IM_LEN(im,i)) + return (EOF) + + # Check for buffered data. + if (XT_BUF(xt) != NULL) { + if (v[2] >= XT_VS(xt,2) && v[2] <= XT_VE(xt,2)) { + if (XT_BTYPE(xt) != TY_DOUBLE) + call error (1, "Cannot mix data types") + nc = IM_LEN(im,1) + buf = XT_BUF(xt) + (v[2]-XT_VS(xt,2)) * IM_LEN(im,1) + XT_FLAG(xt) = flag + if (i == 1) + v[1] = nc + 1 + else + j = imloop (v, unit_v, IM_LEN(im,1), unit_v, i) + return (nc) + } + } + + # Handle more images than the maximum that can be open at one time. + if (nopen >= max_openim) { + if (option == XT_MAPUNMAP || v[2] == 0) { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + + # Buffer some number of lines. + nl = XT_BUFSIZE(xt1) / sizeof (TY_DOUBLE) / IM_LEN(im,1) + if (nl > 1) { + nc = IM_LEN(im,1) + call amovl (v, XT_VS(xt1,1), IM_MAXDIM) + call amovl (v, XT_VE(xt1,1), IM_MAXDIM) + XT_VS(xt1,1) = 1 + XT_VE(xt1,1) = nc + XT_VE(xt1,2) = min (XT_VS(xt1,2)+(nl-1), IM_LEN(im,2)) + nl = XT_VE(xt1,2) - XT_VS(xt1,2) + 1 + XT_BTYPE(xt1) = TY_DOUBLE + call malloc (XT_BUF(xt1), nl*nc, XT_BTYPE(xt1)) + ptr = imggsd (im, XT_VS(xt1,1), XT_VE(xt1,1), + IM_NDIM(im)) + call amovd (Memd[ptr], Memd[XT_BUF(xt1)], nl*nc) + } + + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + min_open = i + 1 + break + } + if (index <= min_open) + min_open = index + else { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + if (XT_IM(xt1) == NULL) + next + min_open = i + break + } + } + } else { + # Check here because we can't catch error in immap. + i = open ("dev$null", READ_ONLY, BINARY_FILE) + call close (i) + if (i == LAST_FD - 1) + call error (SYS_FTOOMANYFILES, "Too many open files") + } + } + + # Open image. + if (VERBOSE) { + call eprintf ("%d: xt_imgnl immap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + im = immap (XT_IMNAME(xt), READ_ONLY, XT_ARG(xt)) + XT_IM(xt) = im + call imseti (im, IM_BUFSIZE, XT_BUFSIZE(xt)) + call mfree (XT_BUF(xt), XT_BTYPE(xt)) + nopen = nopen + 1 + XT_CLOSEFD(xt) = YES + if (nopenpix < MAX_OPENPIX) { + XT_CLOSEFD(xt) = NO + nopenpix = nopenpix + 1 + } + if (XT_CLOSEFD(xt) == YES) + call imseti (im, IM_CLOSEFD, YES) + XT_FLAG(xt) = flag + + return (imgnld (im, buf, v)) +end + diff --git a/pkg/images/immatch/src/imcombine/src/icaclip.gx b/pkg/images/immatch/src/imcombine/src/icaclip.gx new file mode 100644 index 00000000..de3b04d6 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icaclip.gx @@ -0,0 +1,575 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +define MINCLIP 3 # Minimum number of images for this algorithm + +$for (sird) +# IC_AAVSIGCLIP -- Reject pixels using an average sigma about the average +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_aavsigclip$t (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +$if (datatype == sil) +real average[npts] # Average +$else +PIXEL average[npts] # Average +$endif + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +$if (datatype == sil) +real d1, low, high, sum, a, s, s1, r, one +data one /1.0/ +$else +PIXEL d1, low, high, sum, a, s, s1, r, one +data one /1$f/ +$endif +pointer sp, sums, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (sums, npts, TY_REAL) + call salloc (resid, nimages+1, TY_REAL) + + # Since the unweighted average is computed here possibly skip combining + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Compute the unweighted average with the high and low rejected and + # the poisson scaled average sigma. There must be at least three + # pixels at each point to define the average and contributions to + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + nin = max (0, n[1]) + s = 0. + n2 = 0 + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) + next + + # Unweighted average with the high and low rejected + low = Mem$t[d[1]+k] + high = Mem$t[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Mem$t[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Mem$t[dp1] + l = Memi[mp1] + s1 = max (one, (a + zeros[l]) / scales[l]) + s = s + (d1 - a) ** 2 / s1 + } + } else { + s1 = max (one, a) + do j = 1, n1 + s = s + (Mem$t[d[j]+k] - a) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the average and sum for later. + average[i] = a + Memr[sums+k] = sum + } + + # Here is the final sigma. + if (n2 > 1) + s = sqrt (s / (n2 - 1)) + + # Reject pixels and compute the final average (if needed). + # There must be at least three pixels at each point for rejection. + # Iteratively scale the mean sigma and reject pixels + # Compact the data and keep track of the image IDs if needed. + + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (2, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Mem$t[d[1]+k] + do j = 2, n1 + sum = sum + Mem$t[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + a = average[i] + sum = Memr[sums+k] + + repeat { + n2 = n1 + if (s > 0.) { + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + d1 = Mem$t[dp1] + l = Memi[mp1] + s1 = s * sqrt (max (one, (a+zeros[l]) / scales[l])) + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + s1 = s * sqrt (max (one, a)) + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Mem$t[dp1] + r = (d1 - a) / s1 + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mem$t[dp1] + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Mem$t[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mem$t[dp1] + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Mem$t[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MAVSIGCLIP -- Reject pixels using an average sigma about the median +# The average sigma is normalized by the expected poisson sigma. + +procedure ic_mavsigclip$t (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +$if (datatype == sil) +real median[npts] # Median +$else +PIXEL median[npts] # Median +$endif + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +pointer sp, resid, mp1, mp2 +$if (datatype == sil) +real med, low, high, sig, r, s, s1, one +data one /1.0/ +$else +PIXEL med, low, high, sig, r, s, s1, one +data one /1$f/ +$endif + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute the poisson scaled average sigma about the median. + # There must be at least three pixels at each point to define + # the mean sigma. Corrections for differences in the image + # scale factors are selected by the doscale1 flag. + + s = 0. + n2 = 0 + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (n1 < 3) { + if (n1 == 0) + median[i] = blank + else if (n1 == 1) + median[i] = Mem$t[d[1]+k] + else { + low = Mem$t[d[1]+k] + high = Mem$t[d[2]+k] + median[i] = (low + high) / 2. + } + next + } + + # Median + n3 = 1 + n1 / 2 + if (mod (n1, 2) == 0) { + low = Mem$t[d[n3-1]+k] + high = Mem$t[d[n3]+k] + med = (low + high) / 2. + } else + med = Mem$t[d[n3]+k] + + # Poisson scaled sigma accumulation + if (doscale1) { + do j = 1, n1 { + l = Memi[m[j]+k] + s1 = max (one, (med + zeros[l]) / scales[l]) + s = s + (Mem$t[d[j]+k] - med) ** 2 / s1 + } + } else { + s1 = max (one, med) + do j = 1, n1 + s = s + (Mem$t[d[j]+k] - med) ** 2 / s1 + } + n2 = n2 + n1 + + # Save the median for later. + median[i] = med + } + + # Here is the final sigma. + if (n2 > 1) + sig = sqrt (s / (n2 - 1)) + else { + call sfree (sp) + return + } + + # Compute individual sigmas and iteratively clip. + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 < max (3, maxkeep+1)) + next + nl = 1 + nh = n1 + med = median[i] + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 >= max (MINCLIP, maxkeep+1) && sig > 0.) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (med - Mem$t[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s1 = sig * sqrt (max (one, (med+zeros[l])/scales[l])) + r = (Mem$t[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + s1 = sig * sqrt (max (one, med)) + for (; nl <= nh; nl = nl + 1) { + r = (med - Mem$t[d[nl]+k]) / s1 + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Mem$t[d[nh]+k] - med) / s1 + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Mem$t[d[n3-1]+k] + high = Mem$t[d[n3]+k] + med = (low + high) / 2. + } else + med = Mem$t[d[n3]+k] + } else + med = blank + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many are rejected add some back in. + # Pixels with equal residuals are added together. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + + # Recompute median + if (n1 < n2) { + if (n1 > 0) { + n3 = nl + n1 / 2 + if (mod (n1, 2) == 0) { + low = Mem$t[d[n3-1]+k] + high = Mem$t[d[n3]+k] + med = (low + high) / 2. + } else + med = Mem$t[d[n3]+k] + } else + med = blank + } + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Mem$t[d[l]+k] = Mem$t[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Mem$t[d[l]+k] = Mem$t[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icaverage.gx b/pkg/images/immatch/src/imcombine/src/icaverage.gx new file mode 100644 index 00000000..a474bb9d --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icaverage.gx @@ -0,0 +1,120 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <mach.h> +include "../icombine.h" +include "../icmask.h" + +$for (sird) +# IC_AVERAGE -- Compute the average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_average$t (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +$if (datatype == sil) +real average[npts] # Average (returned) +$else +PIXEL average[npts] # Average (returned) +$endif + +int i, j, k, n1 +real sumwt, wt +$if (datatype == sil) +real sum +$else +PIXEL sum +$endif + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Mem$t[d[1]+k] * wt + do j = 2, n[i] { + wt = wts[Memi[m[j]+k]] + sum = sum + Mem$t[d[j]+k] * wt + } + average[i] = sum + } + } else { + do i = 1, npts { + k = i - 1 + sum = Mem$t[d[1]+k] + do j = 2, n[i] + sum = sum + Mem$t[d[j]+k] + if (doaverage == YES) + average[i] = sum / n[i] + else + average[i] = sum + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + wt = wts[Memi[m[1]+k]] + sum = Mem$t[d[1]+k] * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + Mem$t[d[j]+k] * wt + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sum / sumwt + else { + sum = Mem$t[d[1]+k] + do j = 2, n1 + sum = sum + Mem$t[d[j]+k] + average[i] = sum / n1 + } + } else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + sum = Mem$t[d[1]+k] + do j = 2, n1 + sum = sum + Mem$t[d[j]+k] + if (doaverage == YES) + average[i] = sum / n1 + else + average[i] = sum + } else if (doblank == YES) + average[i] = blank + } + } + } +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/iccclip.gx b/pkg/images/immatch/src/imcombine/src/iccclip.gx new file mode 100644 index 00000000..5b1b724e --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/iccclip.gx @@ -0,0 +1,471 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +define MINCLIP 2 # Mininum number of images for algorithm + +$for (sird) +# IC_ACCDCLIP -- Reject pixels using CCD noise parameters about the average + +procedure ic_accdclip$t (d, m, n, scales, zeros, nm, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model parameters +int nimages # Number of images +int npts # Number of output points per line +$if (datatype == sil) +real average[npts] # Average +$else +PIXEL average[npts] # Average +$endif + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +$if (datatype == sil) +real d1, low, high, sum, a, s, r, zero +data zero /0.0/ +$else +PIXEL d1, low, high, sum, a, s, r, zero +data zero /0$f/ +$endif +pointer sp, resid, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are no pixels go on to the combining. Since the unweighted + # average is computed here possibly skip the combining later. + + # There must be at least max (1, nkeep) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } else if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # There must be at least two pixels for rejection. The initial + # average is the low/high rejected average except in the case of + # just two pixels. The rejections are iterated and the average + # is recomputed. Corrections for scaling may be performed. + # Depending on other flags the image IDs may also need to be adjusted. + + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 <= max (MINCLIP-1, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Mem$t[d[1]+k] + do j = 2, n1 + sum = sum + Mem$t[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + repeat { + if (n1 == 2) { + sum = Mem$t[d[1]+k] + sum = sum + Mem$t[d[2]+k] + a = sum / 2 + } else { + low = Mem$t[d[1]+k] + high = Mem$t[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Mem$t[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + } + n2 = n1 + if (doscale1) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + + l = Memi[mp1] + s = scales[l] + d1 = max (zero, s * (a + zeros[l])) + s = sqrt (nm[1,l] + d1/nm[2,l] + (d1*nm[3,l])**2) / s + + d1 = Mem$t[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + mp2 = m[n1] + k + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } else { + if (!keepids) { + s = max (zero, a) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (j=1; j<=n1; j=j+1) { + if (keepids) { + l = Memi[m[j]+k] + s = max (zero, a) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + dp1 = d[j] + k + d1 = Mem$t[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs(r) + if (j < n1) { + dp2 = d[n1] + k + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mem$t[dp1] + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Mem$t[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mem$t[dp1] + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Mem$t[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + } + + n[i] = n1 + if (!docombine) + if (n1 > 0) + average[i] = sum / n1 + else + average[i] = blank + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_CCDCLIP -- Reject pixels using CCD noise parameters about the median + +procedure ic_mccdclip$t (d, m, n, scales, zeros, nm, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real nm[3,nimages] # Noise model +int nimages # Number of images +int npts # Number of output points per line +$if (datatype == sil) +real median[npts] # Median +$else +PIXEL median[npts] # Median +$endif + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, mp1, mp2 +$if (datatype == sil) +real med, zero +data zero /0.0/ +$else +PIXEL med, zero +data zero /0$f/ +$endif + +include "../icombine.com" + +begin + # There must be at least max (MINCLIP, nkeep+1) pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) { + med = Mem$t[d[n3-1]+k] + med = (med + Mem$t[d[n3]+k]) / 2. + } else + med = Mem$t[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + for (; nl <= nh; nl = nl + 1) { + l = Memi[m[nl]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (med - Mem$t[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + l = Memi[m[nh]+k] + s = scales[l] + r = max (zero, s * (med + zeros[l])) + s = sqrt (nm[1,l] + r/nm[2,l] + (r*nm[3,l])**2) / s + r = (Mem$t[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } else { + if (!keepids) { + s = max (zero, med) + s = sqrt (nm[1,1] + s/nm[2,1] + (s*nm[3,1])**2) + } + for (; nl <= nh; nl = nl + 1) { + if (keepids) { + l = Memi[m[nl]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (med - Mem$t[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + if (keepids) { + l = Memi[m[nh]+k] + s = max (zero, med) + s = sqrt (nm[1,l] + s/nm[2,l] + (s*nm[3,l])**2) + } + r = (Mem$t[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Mem$t[d[l]+k] = Mem$t[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Mem$t[d[l]+k] = Mem$t[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median is computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icemask.x b/pkg/images/immatch/src/imcombine/src/icemask.x new file mode 100644 index 00000000..e29edd5e --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icemask.x @@ -0,0 +1,115 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <mach.h> + + +# IC_EMASK -- Create exposure mask. + +procedure ic_emask (pm, v, id, nimages, n, wts, npts) + +pointer pm #I Pixel mask +long v[ARB] #I Output vector +pointer id[nimages] #I Image id pointers +int nimages #I Number of images +int n[npts] #I Number of good pixels +real wts[npts] #I Weights +int npts #I Number of output pixels per line + +int i, j, k, impnli() +real exp +pointer buf +errchk impnli + +pointer exps # Exposure times +pointer ev # IMIO coordinate vector +real ezero # Integer to real zero +real escale # Integer to real scale +int einit # Initialization flag +common /emask/ exps, ev, ezero, escale, einit + +begin + # Write scaling factors to the header. + if (einit == NO) { + if (ezero != 0. || escale != 1.) { + call imaddr (pm, "MASKZERO", ezero) + call imaddr (pm, "MASKSCAL", escale) + } + einit = YES + } + + call amovl (v, Meml[ev], IM_MAXDIM) + i = impnli (pm, buf, Meml[ev]) + call aclri (Memi[buf], npts) + do i = 1, npts { + exp = 0. + do j = 1, n[i] { + k = Memi[id[j]+i-1] + if (wts[k] > 0.) + exp = exp + Memr[exps+k-1] + } + Memi[buf] = nint((exp-ezero)/escale) + buf = buf + 1 + } +end + + +# IC_EINIT -- Initialize exposure mask. + +procedure ic_einit (in, nimages, key, default, maxval) + +int in[nimages] #I Image pointers +int nimages #I Number of images +char key[ARB] #I Exposure time keyword +real default #I Default exposure time +int maxval #I Maximum mask value + +int i +real exp, emin, emax, efrac, imgetr() + +pointer exps # Exposure times +pointer ev # IMIO coordinate vector +real ezero # Integer to real zero +real escale # Integer to real scale +int einit # Initialization flag +common /emask/ exps, ev, ezero, escale, einit + +begin + call malloc (ev, IM_MAXDIM, TY_LONG) + call malloc (exps, nimages, TY_REAL) + + emax = 0. + emin = MAX_REAL + efrac = 0 + do i = 1, nimages { + iferr (exp = imgetr (in[i], key)) + exp = default + exp = max (0., exp) + emax = emax + exp + if (exp > 0.) + emin = min (exp, emin) + efrac = max (abs(exp-nint(exp)), efrac) + Memr[exps+i-1] = exp + } + + # Set scaling. + ezero = 0. + escale = 1. + if (emin < 1.) { + escale = emin + emin = emin / escale + emax = emax / escale + } else if (emin == MAX_REAL) + emin = 0. + if (efrac > 0.001 && emax-emin < 1000.) { + escale = escale / 1000. + emin = emin * 1000. + emax = emax * 1000. + } + while (emax > maxval) { + escale = escale * 10. + emin = emin / 10. + emax = emax / 10. + } + einit = NO +end diff --git a/pkg/images/immatch/src/imcombine/src/icgdata.gx b/pkg/images/immatch/src/imcombine/src/icgdata.gx new file mode 100644 index 00000000..a05f5646 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icgdata.gx @@ -0,0 +1,396 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <mach.h> +include "../icombine.h" + +$for (sird) +# IC_GDATA -- Get line of image and mask data and apply threshold and scaling. +# Entirely empty lines are excluded. The data are compacted within the +# input data buffers. If it is required, the connection to the original +# image index is kept in the returned m data pointers. + +procedure ic_gdata$t (in, out, dbuf, d, id, n, m, lflag, offsets, scales, + zeros, nimages, npts, v1, v2) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +pointer dbuf[nimages] # Data buffers +pointer d[nimages] # Data pointers +pointer id[nimages] # ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Empty mask flags +int offsets[nimages,ARB] # Image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +int nimages # Number of input images +int npts # NUmber of output points per line +long v1[ARB], v2[ARB] # Line vectors + +PIXEL temp +int i, j, k, l, n1, n2, npix, nin, nout, ndim, nused, mtype, xt_imgnl$t() +real a, b +pointer buf, dp, ip, mp +errchk xt_cpix, xt_imgnl$t + +PIXEL max_pixel +$if (datatype == s) +data max_pixel/MAX_SHORT/ +$else $if (datatype == i) +data max_pixel/MAX_INT/ +$else $if (datatype == r) +data max_pixel/MAX_REAL/ +$else +data max_pixel/MAX_DOUBLE/ +$endif $endif $endif + +include "../icombine.com" + +begin + # Get masks and return if there is no data + call ic_mget (in, out, offsets, v1, v2, m, lflag, nimages, mtype) + if (dflag == D_NONE) { + call aclri (n, npts) + return + } + + # Close images which are not needed. + nout = IM_LEN(out[1],1) + ndim = IM_NDIM(out[1]) + if (!project && ndim < 3) { + do i = 1, nimages { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) + call xt_cpix (i) + if (ndim > 1) { + j = v1[2] - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + } + } + + # Get data and fill data buffers. Correct for offsets if needed. + do i = 1, nimages { + if (lflag[i] == D_NONE) + next + if (dbuf[i] == NULL) { + call amovl (v1, v2, IM_MAXDIM) + if (project) + v2[ndim+1] = i + j = xt_imgnl$t (in[i], i, d[i], v2, v1[2]) + } else { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) { + lflag[i] = D_NONE + next + } + k = 1 + j - offsets[i,1] + v2[1] = k + do l = 2, ndim { + v2[l] = v1[l] - offsets[i,l] + if (v2[l] < 1 || v2[l] > IM_LEN(in[i],l)) { + lflag[i] = D_NONE + break + } + } + if (lflag[i] == D_NONE) + next + if (project) + v2[ndim+1] = i + l = xt_imgnl$t (in[i], i, buf, v2, v1[2]) + call amov$t (Mem$t[buf+k-1], Mem$t[dbuf[i]+j], npix) + d[i] = dbuf[i] + } + } + + # Set values to max_pixel if needed. + if (mtype == M_NOVAL) { + do i = 1, nimages { + dp = d[i]; mp = m[i] + if (lflag[i] == D_NONE || dp == NULL) + next + else if (lflag[i] == D_MIX) { + do j = 1, npts { + if (Memi[mp] == 1) + Mem$t[dp] = max_pixel + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Apply threshold if needed + if (dothresh) { + do i = 1, nimages { + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + a = Mem$t[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + + lflag[i] = D_MIX + dflag = D_MIX + } + dp = dp + 1 + } + + # Check for completely empty lines + if (lflag[i] == D_MIX) { + lflag[i] = D_NONE + mp = m[i] + do j = 1, npts { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) { + a = Mem$t[dp] + if (a < lthresh || a > hthresh) { + if (mtype == M_NOVAL) + Memi[m[i]+j-1] = 2 + else + Memi[m[i]+j-1] = 1 + dflag = D_MIX + } + } + dp = dp + 1 + mp = mp + 1 + } + + # Check for completely empty lines + lflag[i] = D_NONE + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + lflag[i] = D_MIX + break + } + mp = mp + 1 + } + } + } + } + + # Apply scaling (avoiding masked pixels which might overflow?) + if (doscale) { + if (dflag == D_ALL) { + do i = 1, nimages { + dp = d[i] + a = scales[i] + b = -zeros[i] + do j = 1, npts { + Mem$t[dp] = Mem$t[dp] / a + b + dp = dp + 1 + } + } + } else if (dflag == D_MIX) { + do i = 1, nimages { + a = scales[i] + b = -zeros[i] + if (lflag[i] == D_ALL) { + dp = d[i] + do j = 1, npts { + Mem$t[dp] = Mem$t[dp] / a + b + dp = dp + 1 + } + } else if (lflag[i] == D_MIX) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] != 1) + Mem$t[dp] = Mem$t[dp] / a + b + dp = dp + 1 + mp = mp + 1 + } + } + } + } + } + + # Sort pointers to exclude unused images. + # Use the lflag array to keep track of the image index. + + if (dflag == D_ALL) + nused = nimages + else { + nused = 0 + do i = 1, nimages { + if (lflag[i] != D_NONE) { + nused = nused + 1 + d[nused] = d[i] + m[nused] = m[i] + lflag[nused] = i + } + } + do i = nused+1, nimages + d[i] = NULL + if (nused == 0) + dflag = D_NONE + } + + # Compact data to remove bad pixels + # Keep track of the image indices if needed + # If growing mark the end of the included image indices with zero + + if (dflag == D_ALL) { + call amovki (nused, n, npts) + if (keepids) + do i = 1, nimages + call amovki (i, Memi[id[i]], npts) + } else if (dflag == D_NONE) + call aclri (n, npts) + else { + call aclri (n, npts) + if (keepids) { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + ip = id[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + Memi[ip] = l + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Mem$t[d[k]+j-1] + Mem$t[d[k]+j-1] = Mem$t[dp] + Mem$t[dp] = temp + Memi[ip] = Memi[id[k]+j-1] + Memi[id[k]+j-1] = l + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } else + Memi[ip] = 0 + dp = dp + 1 + ip = ip + 1 + mp = mp + 1 + } + } + if (grow >= 1.) { + do j = 1, npts { + do i = n[j]+1, nimages + Memi[id[i]+j-1] = 0 + } + } + } else { + do i = 1, nused { + l = lflag[i] + nin = IM_LEN(in[l],1) + j = max (0, offsets[l,1]) + k = min (nout, nin + offsets[l,1]) + npix = k - j + n1 = 1 + j + n2 = n1 + npix - 1 + dp = d[i] + n1 - 1 + mp = m[i] + n1 - 1 + do j = n1, n2 { + if (Memi[mp] == 0) { + n[j] = n[j] + 1 + k = n[j] + if (k < i) { + temp = Mem$t[d[k]+j-1] + Mem$t[d[k]+j-1] = Mem$t[dp] + Mem$t[dp] = temp + Memi[mp] = Memi[m[k]+j-1] + Memi[m[k]+j-1] = 0 + } + } + dp = dp + 1 + mp = mp + 1 + } + } + } + } + + # Sort the pixels and IDs if needed + if (mclip) { + call malloc (dp, nused, TY_PIXEL) + if (keepids) { + call malloc (ip, nused, TY_INT) + call ic_2sort$t (d, Mem$t[dp], id, Memi[ip], n, npts) + call mfree (ip, TY_INT) + } else + call ic_sort$t (d, Mem$t[dp], n, npts) + call mfree (dp, TY_PIXEL) + } + + # If no good pixels set the number of usable values as -n and + # shift them to lower values. + if (mtype == M_NOVAL) { + if (keepids) { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + ip = id[i] + j - 1 + if (Mem$t[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) { + Mem$t[d[k]+j-1] = Mem$t[dp] + Memi[id[k]+j-1] = Memi[ip] + } + } + } + } + } else { + do j = 1, npts { + if (n[j] > 0) + next + n[j] = 0 + do i = 1, nused { + dp = d[i] + j - 1 + if (Mem$t[dp] < max_pixel) { + n[j] = n[j] - 1 + k = -n[j] + if (k < i) + Mem$t[d[k]+j-1] = Mem$t[dp] + } + } + } + } + } +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icgrow.gx b/pkg/images/immatch/src/imcombine/src/icgrow.gx new file mode 100644 index 00000000..caf7dd29 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icgrow.gx @@ -0,0 +1,135 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <pmset.h> +include "../icombine.h" + +# IC_GROW -- Mark neigbors of rejected pixels. +# The rejected pixels (original plus grown) are saved in pixel masks. + +procedure ic_grow (out, v, m, n, buf, nimages, npts, pms) + +pointer out # Output image pointer +long v[ARB] # Output vector +pointer m[ARB] # Image id pointers +int n[ARB] # Number of good pixels +int buf[npts,nimages] # Working buffer +int nimages # Number of images +int npts # Number of output points per line +pointer pms # Pointer to array of pixel masks + +int i, j, k, l, line, nl, rop, igrow, nset, ncompress, or() +real grow2, i2 +pointer mp, pm, pm_newmask() +errchk pm_newmask() + +include "../icombine.com" + +begin + if (dflag == D_NONE || grow == 0.) + return + + line = v[2] + nl = IM_LEN(out,2) + rop = or (PIX_SRC, PIX_DST) + + igrow = grow + grow2 = grow**2 + do l = 0, igrow { + i2 = grow2 - l * l + call aclri (buf, npts*nimages) + nset = 0 + do j = 1, npts { + do k = n[j]+1, nimages { + mp = Memi[m[k]+j-1] + if (mp == 0) + next + do i = 0, igrow { + if (i**2 > i2) + next + if (j > i) + buf[j-i,mp] = 1 + if (j+i <= npts) + buf[j+i,mp] = 1 + nset = nset + 1 + } + } + } + if (nset == 0) + return + + if (pms == NULL) { + call malloc (pms, nimages, TY_POINTER) + do i = 1, nimages + Memi[pms+i-1] = pm_newmask (out, 1) + ncompress = 0 + } + do i = 1, nimages { + pm = Memi[pms+i-1] + v[2] = line - l + if (v[2] > 0) + call pmplpi (pm, v, buf[1,i], 1, npts, rop) + if (l > 0) { + v[2] = line + l + if (v[2] <= nl) + call pmplpi (pm, v, buf[1,i], 1, npts, rop) + } + } + } + v[2] = line + + if (ncompress > 10) { + do i = 1, nimages { + pm = Memi[pms+i-1] + call pm_compress (pm) + } + ncompress = 0 + } else + ncompress = ncompress + 1 +end + + +$for (sird) +# IC_GROW$T -- Reject pixels. + +procedure ic_grow$t (v, d, m, n, buf, nimages, npts, pms) + +long v[ARB] # Output vector +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[ARB] # Number of good pixels +int buf[ARB] # Buffer of npts +int nimages # Number of images +int npts # Number of output points per line +pointer pms # Pointer to array of pixel masks + +int i, j, k +pointer pm +bool pl_linenotempty() + +include "../icombine.com" + +begin + do k = 1, nimages { + pm = Memi[pms+k-1] + if (!pl_linenotempty (pm, v)) + next + call pmglpi (pm, v, buf, 1, npts, PIX_SRC) + do i = 1, npts { + if (buf[i] == 0) + next + for (j = 1; j <= n[i]; j = j + 1) { + if (Memi[m[j]+i-1] == k) { + if (j < n[i]) { + Mem$t[d[j]+i-1] = Mem$t[d[n[i]]+i-1] + Memi[m[j]+i-1] = Memi[m[n[i]]+i-1] + } + n[i] = n[i] - 1 + dflag = D_MIX + break + } + } + } + } +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icgscale.x b/pkg/images/immatch/src/imcombine/src/icgscale.x new file mode 100644 index 00000000..570697ad --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icgscale.x @@ -0,0 +1,88 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "icombine.h" + + +# IC_GSCALE -- Get scale values as directed by CL parameter. +# Only those values which are INDEF are changed. +# The values can be one of those in the dictionary, from a file specified +# with a @ prefix, or from an image header keyword specified by a ! prefix. + +int procedure ic_gscale (param, name, dic, in, exptime, values, nimages) + +char param[ARB] #I CL parameter name +char name[SZ_FNAME] #O Parameter value +char dic[ARB] #I Dictionary string +pointer in[nimages] #I IMIO pointers +real exptime[nimages] #I Exposure times +real values[nimages] #O Values +int nimages #I Number of images + +int type #O Type of value + +int fd, i, nowhite(), open(), fscan(), nscan(), strdic() +real rval, imgetr() +pointer errstr +errchk open, imgetr + +include "icombine.com" + +begin + call clgstr (param, name, SZ_FNAME) + if (nowhite (name, name, SZ_FNAME) == 0) + type = S_NONE + else if (name[1] == '@') { + type = S_FILE + do i = 1, nimages + if (IS_INDEFR(values[i])) + break + if (i <= nimages) { + fd = open (name[2], READ_ONLY, TEXT_FILE) + i = 0 + while (fscan (fd) != EOF) { + call gargr (rval) + if (nscan() != 1) + next + if (i == nimages) { + call eprintf ( + "Warning: Ignoring additional %s values in %s\n") + call pargstr (param) + call pargstr (name[2]) + break + } + i = i + 1 + if (IS_INDEFR(values[i])) + values[i] = rval + } + call close (fd) + if (i < nimages) { + call salloc (errstr, SZ_LINE, TY_CHAR) + call sprintf (errstr, SZ_FNAME, + "Insufficient %s values in %s") + call pargstr (param) + call pargstr (name[2]) + call error (1, errstr) + } + } + } else if (name[1] == '!') { + type = S_KEYWORD + do i = 1, nimages { + if (IS_INDEFR(values[i])) + values[i] = imgetr (in[i], name[2]) + if (project) { + call amovkr (values, values, nimages) + break + } + } + } else { + type = strdic (name, name, SZ_FNAME, dic) + if (type == 0) + call error (1, "Unknown scale, zero, or weight type") + if (type==S_EXPOSURE) + do i = 1, nimages + if (IS_INDEFR(values[i])) + values[i] = max (0.001, exptime[i]) + } + + return (type) +end diff --git a/pkg/images/immatch/src/imcombine/src/ichdr.x b/pkg/images/immatch/src/imcombine/src/ichdr.x new file mode 100644 index 00000000..b4d925c1 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/ichdr.x @@ -0,0 +1,72 @@ +include <imset.h> + + +# IC_HDR -- Set output header. + +procedure ic_hdr (in, out, nimages) + +pointer in[nimages] #I Input images +pointer out[ARB] #I Output images +int nimages #I Number of images + +int i, j, imgnfn(), nowhite(), strldxs() +pointer sp, inkey, key, str, list, imofnlu() +bool streq() + +begin + call smark (sp) + call salloc (inkey, SZ_FNAME, TY_CHAR) + call salloc (key, SZ_FNAME, TY_CHAR) + call salloc (str, SZ_FNAME, TY_CHAR) + + call clgstr ("imcmb", Memc[inkey], SZ_FNAME) + i = nowhite (Memc[inkey], Memc[inkey], SZ_FNAME) + + if (i > 0 && streq (Memc[inkey], "$I")) { + # Set new PROCID. + call xt_procid (out) + + # Set input PROCIDs. + if (nimages < 100) { + list = imofnlu (out, "PROCID[0-9][0-9]") + while (imgnfn (list, Memc[key], SZ_LINE) != EOF) + call imdelf (out, Memc[key]) + call imcfnl (list) + do i = 1, nimages { + call sprintf (Memc[key], 8, "PROCID%02d") + call pargi (i) + iferr (call imgstr (in[i], "PROCID", Memc[str], SZ_LINE)) { + iferr (call imgstr (in[i], "OBSID", Memc[str], SZ_LINE)) + Memc[str] = EOS + } + if (Memc[str] != EOS) + call imastr (out, Memc[key], Memc[str]) + } + } + } + + if (i > 0 && nimages < 1000) { + list = imofnlu (out, "IMCMB[0-9][0-9][0-9]") + while (imgnfn (list, Memc[key], SZ_LINE) != EOF) + call imdelf (out, Memc[key]) + call imcfnl (list) + do i = 1, nimages { + if (streq (Memc[inkey], "$I")) { + call imstats (in[i], IM_IMAGENAME, Memc[str], SZ_LINE) + j = strldxs ("/$", Memc[str]) + if (j > 0) + call strcpy (Memc[str+j], Memc[str], SZ_LINE) + } else { + iferr (call imgstr (in[i], Memc[inkey], Memc[str], SZ_LINE)) + Memc[str] = EOS + } + if (Memc[str] == EOS) + next + call sprintf (Memc[key], SZ_LINE, "IMCMB%03d") + call pargi (i) + call imastr (out, Memc[key], Memc[str]) + } + } + + call sfree (sp) +end diff --git a/pkg/images/immatch/src/imcombine/src/icimstack.x b/pkg/images/immatch/src/imcombine/src/icimstack.x new file mode 100644 index 00000000..d5628694 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icimstack.x @@ -0,0 +1,186 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <error.h> +include <imhdr.h> + + +# IC_IMSTACK -- Stack images into a single image of higher dimension. + +procedure ic_imstack (list, output, mask) + +int list #I List of images +char output[ARB] #I Name of output image +char mask[ARB] #I Name of output mask + +int i, j, npix +long line_in[IM_MAXDIM], line_out[IM_MAXDIM], line_outbpm[IM_MAXDIM] +pointer sp, input, bpmname, key, in, out, inbpm, outbpm, buf_in, buf_out, ptr + +int imtgetim(), imtlen(), errget() +int imgnls(), imgnli(), imgnll(), imgnlr(), imgnld(), imgnlx() +int impnls(), impnli(), impnll(), impnlr(), impnld(), impnlx() +pointer immap(), pm_newmask() +errchk immap +errchk imgnls, imgnli, imgnll, imgnlr, imgnld, imgnlx +errchk impnls, impnli, impnll, impnlr, impnld, impnlx + +begin + call smark (sp) + call salloc (input, SZ_FNAME, TY_CHAR) + call salloc (bpmname, SZ_FNAME, TY_CHAR) + call salloc (key, SZ_FNAME, TY_CHAR) + + iferr { + # Add each input image to the output image. + out = NULL; outbpm = NULL + i = 0 + while (imtgetim (list, Memc[input], SZ_FNAME) != EOF) { + + i = i + 1 + in = NULL; inbpm = NULL + ptr = immap (Memc[input], READ_ONLY, 0) + in = ptr + + # For the first input image map the output image as a copy + # and increment the dimension. Set the output line counter. + + if (i == 1) { + ptr = immap (output, NEW_COPY, in) + out = ptr + IM_NDIM(out) = IM_NDIM(out) + 1 + IM_LEN(out, IM_NDIM(out)) = imtlen (list) + npix = IM_LEN(out, 1) + call amovkl (long(1), line_out, IM_MAXDIM) + + if (mask[1] != EOS) { + ptr = immap (mask, NEW_COPY, in) + outbpm = ptr + IM_NDIM(outbpm) = IM_NDIM(outbpm) + 1 + IM_LEN(outbpm, IM_NDIM(outbpm)) = imtlen (list) + call amovkl (long(1), line_outbpm, IM_MAXDIM) + } + } + + # Check next input image for consistency with the output image. + if (IM_NDIM(in) != IM_NDIM(out) - 1) + call error (0, "Input images not consistent") + do j = 1, IM_NDIM(in) { + if (IM_LEN(in, j) != IM_LEN(out, j)) + call error (0, "Input images not consistent") + } + + call sprintf (Memc[key], SZ_FNAME, "stck%04d") + call pargi (i) + call imastr (out, Memc[key], Memc[input]) + + # Copy the input lines from the image to the next lines of + # the output image. Switch on the output data type to optimize + # IMIO. + + call amovkl (long(1), line_in, IM_MAXDIM) + switch (IM_PIXTYPE (out)) { + case TY_SHORT: + while (imgnls (in, buf_in, line_in) != EOF) { + if (impnls (out, buf_out, line_out) == EOF) + call error (0, "Error writing output image") + call amovs (Mems[buf_in], Mems[buf_out], npix) + } + case TY_INT: + while (imgnli (in, buf_in, line_in) != EOF) { + if (impnli (out, buf_out, line_out) == EOF) + call error (0, "Error writing output image") + call amovi (Memi[buf_in], Memi[buf_out], npix) + } + case TY_USHORT, TY_LONG: + while (imgnll (in, buf_in, line_in) != EOF) { + if (impnll (out, buf_out, line_out) == EOF) + call error (0, "Error writing output image") + call amovl (Meml[buf_in], Meml[buf_out], npix) + } + case TY_REAL: + while (imgnlr (in, buf_in, line_in) != EOF) { + if (impnlr (out, buf_out, line_out) == EOF) + call error (0, "Error writing output image") + call amovr (Memr[buf_in], Memr[buf_out], npix) + } + case TY_DOUBLE: + while (imgnld (in, buf_in, line_in) != EOF) { + if (impnld (out, buf_out, line_out) == EOF) + call error (0, "Error writing output image") + call amovd (Memd[buf_in], Memd[buf_out], npix) + } + case TY_COMPLEX: + while (imgnlx (in, buf_in, line_in) != EOF) { + if (impnlx (out, buf_out, line_out) == EOF) + call error (0, "Error writing output image") + call amovx (Memx[buf_in], Memx[buf_out], npix) + } + default: + while (imgnlr (in, buf_in, line_in) != EOF) { + if (impnlr (out, buf_out, line_out) == EOF) + call error (0, "Error writing output image") + call amovr (Memr[buf_in], Memr[buf_out], npix) + } + } + + # Copy mask. + if (mask[1] != EOS) { + iferr (call imgstr (in, "bpm", Memc[bpmname], SZ_FNAME)) { + Memc[bpmname] = EOS + ptr = pm_newmask (in, 27) + } else + ptr = immap (Memc[bpmname], READ_ONLY, 0) + inbpm = ptr + + if (IM_NDIM(inbpm) != IM_NDIM(outbpm) - 1) + call error (0, "Input images not consistent") + do j = 1, IM_NDIM(inbpm) { + if (IM_LEN(inbpm, j) != IM_LEN(outbpm, j)) + call error (0, "Masks not consistent") + } + + call amovkl (long(1), line_in, IM_MAXDIM) + while (imgnli (inbpm, buf_in, line_in) != EOF) { + if (impnli (outbpm, buf_out, line_outbpm) == EOF) + call error (0, "Error writing output mask") + call amovi (Memi[buf_in], Memi[buf_out], npix) + } + + call sprintf (Memc[key], SZ_FNAME, "bpm%04d") + call pargi (i) + call imastr (out, Memc[key], Memc[bpmname]) + + call imunmap (inbpm) + } + + call imunmap (in) + } + } then { + i = errget (Memc[key], SZ_FNAME) + call erract (EA_WARN) + if (outbpm != NULL) { + call imunmap (outbpm) + iferr (call imdelete (mask)) + ; + } + if (out != NULL) { + call imunmap (out) + iferr (call imdelete (output)) + ; + } + if (inbpm != NULL) + call imunmap (inbpm) + if (in != NULL) + call imunmap (in) + call sfree (sp) + call error (i, "Can't make temporary stack images") + } + + # Finish up. + if (outbpm != NULL) { + call imunmap (outbpm) + call imastr (out, "bpm", mask) + } + call imunmap (out) + call sfree (sp) +end diff --git a/pkg/images/immatch/src/imcombine/src/iclog.x b/pkg/images/immatch/src/imcombine/src/iclog.x new file mode 100644 index 00000000..53420cd5 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/iclog.x @@ -0,0 +1,431 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <imset.h> +include <mach.h> +include "icombine.h" +include "icmask.h" + +# IC_LOG -- Output log information is a log file has been specfied. + +procedure ic_log (in, out, ncombine, exptime, sname, zname, wname, + mode, median, mean, scales, zeros, wts, offsets, nimages, + dozero, nout) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +int ncombine[nimages] # Number of previous combined images +real exptime[nimages] # Exposure times +char sname[ARB] # Scale name +char zname[ARB] # Zero name +char wname[ARB] # Weight name +real mode[nimages] # Modes +real median[nimages] # Medians +real mean[nimages] # Means +real scales[nimages] # Scale factors +real zeros[nimages] # Zero or sky levels +real wts[nimages] # Weights +int offsets[nimages,ARB] # Image offsets +int nimages # Number of images +bool dozero # Zero flag +int nout # Number of images combined in output + +int i, j, stack, ctor() +real rval, imgetr() +long clktime() +bool prncombine, prexptime, prmode, prmedian, prmean, prmask +bool prrdn, prgain, prsn +pointer sp, fname, bpname, key +errchk imgetr + +include "icombine.com" + +begin + if (logfd == NULL) + return + + call smark (sp) + call salloc (fname, SZ_LINE, TY_CHAR) + call salloc (bpname, SZ_LINE, TY_CHAR) + + stack = NO + if (project) { + ifnoerr (call imgstr (in[1], "stck0001", Memc[fname], SZ_LINE)) + stack = YES + } + if (stack == YES) + call salloc (key, SZ_FNAME, TY_CHAR) + + # Time stamp the log and print parameter information. + + call cnvdate (clktime(0), Memc[fname], SZ_LINE) + call fprintf (logfd, "\n%s: IMCOMBINE\n") + call pargstr (Memc[fname]) + switch (combine) { + case AVERAGE: + call fprintf (logfd, " combine = average, ") + case MEDIAN: + call fprintf (logfd, " combine = median, ") + case SUM: + call fprintf (logfd, " combine = sum, ") + } + call fprintf (logfd, "scale = %s, zero = %s, weight = %s\n") + call pargstr (sname) + call pargstr (zname) + call pargstr (wname) + if (combine == NMODEL && reject!=CCDCLIP && reject!=CRREJECT) { + call fprintf (logfd, + " rdnoise = %s, gain = %s, snoise = %s\n") + call pargstr (Memc[rdnoise]) + call pargstr (Memc[gain]) + call pargstr (Memc[snoise]) + } + + switch (reject) { + case MINMAX: + call fprintf (logfd, " reject = minmax, nlow = %d, nhigh = %d\n") + call pargi (nint (flow * nimages)) + call pargi (nint (fhigh * nimages)) + case CCDCLIP: + call fprintf (logfd, " reject = ccdclip, mclip = %b, nkeep = %d\n") + call pargb (mclip) + call pargi (nkeep) + call fprintf (logfd, + " rdnoise = %s, gain = %s, snoise = %s, sigma = %g, hsigma = %g\n") + call pargstr (Memc[rdnoise]) + call pargstr (Memc[gain]) + call pargstr (Memc[snoise]) + call pargr (lsigma) + call pargr (hsigma) + case CRREJECT: + call fprintf (logfd, + " reject = crreject, mclip = %b, nkeep = %d\n") + call pargb (mclip) + call pargi (nkeep) + call fprintf (logfd, + " rdnoise = %s, gain = %s, snoise = %s, hsigma = %g\n") + call pargstr (Memc[rdnoise]) + call pargstr (Memc[gain]) + call pargstr (Memc[snoise]) + call pargr (hsigma) + case PCLIP: + call fprintf (logfd, " reject = pclip, nkeep = %d\n") + call pargi (nkeep) + call fprintf (logfd, " pclip = %g, lsigma = %g, hsigma = %g\n") + call pargr (pclip) + call pargr (lsigma) + call pargr (hsigma) + case SIGCLIP: + call fprintf (logfd, " reject = sigclip, mclip = %b, nkeep = %d\n") + call pargb (mclip) + call pargi (nkeep) + call fprintf (logfd, " lsigma = %g, hsigma = %g\n") + call pargr (lsigma) + call pargr (hsigma) + case AVSIGCLIP: + call fprintf (logfd, + " reject = avsigclip, mclip = %b, nkeep = %d\n") + call pargb (mclip) + call pargi (nkeep) + call fprintf (logfd, " lsigma = %g, hsigma = %g\n") + call pargr (lsigma) + call pargr (hsigma) + } + if (reject != NONE && grow >= 1.) { + call fprintf (logfd, " grow = %g\n") + call pargr (grow) + } + if (dothresh) { + if (lthresh > -MAX_REAL && hthresh < MAX_REAL) { + call fprintf (logfd, " lthreshold = %g, hthreshold = %g\n") + call pargr (lthresh) + call pargr (hthresh) + } else if (lthresh > -MAX_REAL) { + call fprintf (logfd, " lthreshold = %g\n") + call pargr (lthresh) + } else { + call fprintf (logfd, " hthreshold = %g\n") + call pargr (hthresh) + } + } + call fprintf (logfd, " blank = %g\n") + call pargr (blank) + if (Memc[statsec] != EOS) { + call fprintf (logfd, " statsec = %s\n") + call pargstr (Memc[fname]) + } + + if (ICM_TYPE(icm) != M_NONE) { + switch (ICM_TYPE(icm)) { + case M_BOOLEAN, M_GOODVAL: + call fprintf (logfd, " masktype = goodval, maskval = %d\n") + call pargi (ICM_VALUE(icm)) + case M_BADVAL: + call fprintf (logfd, " masktype = badval, maskval = %d\n") + call pargi (ICM_VALUE(icm)) + case M_NOVAL: + call fprintf (logfd, " masktype = noval, maskval = %d\n") + call pargi (ICM_VALUE(icm)) + case M_GOODBITS: + call fprintf (logfd, " masktype = goodbits, maskval = %d\n") + call pargi (ICM_VALUE(icm)) + case M_BADBITS: + call fprintf (logfd, " masktype = badbits, maskval = %d\n") + call pargi (ICM_VALUE(icm)) + case M_LTVAL: + call fprintf (logfd, " masktype = goodval, maskval < %d\n") + call pargi (ICM_VALUE(icm)) + case M_GTVAL: + call fprintf (logfd, " masktype = goodval, maskval > %d\n") + call pargi (ICM_VALUE(icm)) + } + } + + # Print information pertaining to individual images as a set of + # columns with the image name being the first column. Determine + # what information is relevant and print the appropriate header. + + prncombine = false + prexptime = false + prmode = false + prmedian = false + prmean = false + prmask = false + prrdn = false + prgain = false + prsn = false + do i = 1, nimages { + if (ncombine[i] != ncombine[1]) + prncombine = true + if (exptime[i] != exptime[1]) + prexptime = true + if (mode[i] != mode[1]) + prmode = true + if (median[i] != median[1]) + prmedian = true + if (mean[i] != mean[1]) + prmean = true + if (ICM_TYPE(icm) != M_NONE) { + if (project) + bpname = Memi[ICM_NAMES(icm)] + else + bpname = Memi[ICM_NAMES(icm)+i-1] + if (Memc[bpname] != EOS) + prmask = true + } + if (combine == NMODEL || reject == CCDCLIP || reject == CRREJECT) { + j = 1 + if (ctor (Memc[rdnoise], j, rval) == 0) + prrdn = true + j = 1 + if (ctor (Memc[gain], j, rval) == 0) + prgain = true + j = 1 + if (ctor (Memc[snoise], j, rval) == 0) + prsn = true + } + } + + call fprintf (logfd, " %20s ") + call pargstr ("Images") + if (prncombine) { + call fprintf (logfd, " %6s") + call pargstr ("N") + } + if (prexptime) { + call fprintf (logfd, " %6s") + call pargstr ("Exp") + } + if (prmode) { + call fprintf (logfd, " %7s") + call pargstr ("Mode") + } + if (prmedian) { + call fprintf (logfd, " %7s") + call pargstr ("Median") + } + if (prmean) { + call fprintf (logfd, " %7s") + call pargstr ("Mean") + } + if (prrdn) { + call fprintf (logfd, " %7s") + call pargstr ("Rdnoise") + } + if (prgain) { + call fprintf (logfd, " %6s") + call pargstr ("Gain") + } + if (prsn) { + call fprintf (logfd, " %6s") + call pargstr ("Snoise") + } + if (doscale) { + call fprintf (logfd, " %6s") + call pargstr ("Scale") + } + if (dozero) { + call fprintf (logfd, " %7s") + call pargstr ("Zero") + } + if (dowts) { + call fprintf (logfd, " %6s") + call pargstr ("Weight") + } + if (!aligned) { + call fprintf (logfd, " %9s") + call pargstr ("Offsets") + } + if (prmask) { + call fprintf (logfd, " %s") + call pargstr ("Maskfile") + } + call fprintf (logfd, "\n") + + do i = 1, nimages { + if (stack == YES) { + call sprintf (Memc[key], SZ_FNAME, "stck%04d") + call pargi (i) + ifnoerr (call imgstr (in[i], Memc[key], Memc[fname], SZ_LINE)) { + call fprintf (logfd, " %21s") + call pargstr (Memc[fname]) + } else { + call imstats (in[i], IM_IMAGENAME, Memc[fname], SZ_LINE) + call fprintf (logfd, " %16s[%3d]") + call pargstr (Memc[fname]) + call pargi (i) + } + } else if (project) { + call imstats (in[i], IM_IMAGENAME, Memc[fname], SZ_LINE) + call fprintf (logfd, " %16s[%3d]") + call pargstr (Memc[fname]) + call pargi (i) + } else { + call imstats (in[i], IM_IMAGENAME, Memc[fname], SZ_LINE) + call fprintf (logfd, " %21s") + call pargstr (Memc[fname]) + } + if (prncombine) { + call fprintf (logfd, " %6d") + call pargi (ncombine[i]) + } + if (prexptime) { + call fprintf (logfd, " %6.1f") + call pargr (exptime[i]) + } + if (prmode) { + call fprintf (logfd, " %7.5g") + call pargr (mode[i]) + } + if (prmedian) { + call fprintf (logfd, " %7.5g") + call pargr (median[i]) + } + if (prmean) { + call fprintf (logfd, " %7.5g") + call pargr (mean[i]) + } + if (prrdn) { + rval = imgetr (in[i], Memc[rdnoise]) + call fprintf (logfd, " %7g") + call pargr (rval) + } + if (prgain) { + rval = imgetr (in[i], Memc[gain]) + call fprintf (logfd, " %6g") + call pargr (rval) + } + if (prsn) { + rval = imgetr (in[i], Memc[snoise]) + call fprintf (logfd, " %6g") + call pargr (rval) + } + if (doscale) { + call fprintf (logfd, " %6.3f") + call pargr (1./scales[i]) + } + if (dozero) { + call fprintf (logfd, " %7.5g") + call pargr (-zeros[i]) + } + if (dowts) { + call fprintf (logfd, " %6.3f") + call pargr (wts[i]) + } + if (!aligned) { + if (IM_NDIM(out[1]) == 1) { + call fprintf (logfd, " %9d") + call pargi (offsets[i,1]) + } else { + do j = 1, IM_NDIM(out[1]) { + call fprintf (logfd, " %4d") + call pargi (offsets[i,j]) + } + } + } + if (prmask) { + if (stack == YES) { + call sprintf (Memc[key], SZ_FNAME, "bpm%04d") + call pargi (i) + ifnoerr (call imgstr (in[i], Memc[key], Memc[fname], + SZ_LINE)) { + call fprintf (logfd, " %s") + call pargstr (Memc[fname]) + } else { + call fprintf (logfd, " %s") + call pargstr (Memc[bpname]) + } + } else if (ICM_TYPE(icm) != M_NONE) { + if (project) + bpname = Memi[ICM_NAMES(icm)] + else + bpname = Memi[ICM_NAMES(icm)+i-1] + if (Memc[bpname] != EOS) { + call fprintf (logfd, " %s") + call pargstr (Memc[bpname]) + } + } + } + call fprintf (logfd, "\n") + } + + # Log information about the output images. + call imstats (out[1], IM_IMAGENAME, Memc[fname], SZ_LINE) + call fprintf (logfd, "\n Output image = %s, ncombine = %d") + call pargstr (Memc[fname]) + call pargi (nout) + call fprintf (logfd, "\n") + + if (out[2] != NULL) { + call imstats (out[2], IM_IMAGENAME, Memc[fname], SZ_LINE) + call fprintf (logfd, " Bad pixel mask = %s\n") + call pargstr (Memc[fname]) + } + + if (out[4] != NULL) { + call imstats (out[4], IM_IMAGENAME, Memc[fname], SZ_LINE) + call fprintf (logfd, " Rejection mask = %s\n") + call pargstr (Memc[fname]) + } + + if (out[5] != NULL) { + call imstats (out[5], IM_IMAGENAME, Memc[fname], SZ_LINE) + call fprintf (logfd, " Number rejected mask = %s\n") + call pargstr (Memc[fname]) + } + + if (out[6] != NULL) { + call imstats (out[6], IM_IMAGENAME, Memc[fname], SZ_LINE) + call fprintf (logfd, " Exposure mask = %s\n") + call pargstr (Memc[fname]) + } + + if (out[3] != NULL) { + call imstats (out[3], IM_IMAGENAME, Memc[fname], SZ_LINE) + call fprintf (logfd, " Sigma image = %s\n") + call pargstr (Memc[fname]) + } + + call flush (logfd) + call sfree (sp) +end diff --git a/pkg/images/immatch/src/imcombine/src/icmask.com b/pkg/images/immatch/src/imcombine/src/icmask.com new file mode 100644 index 00000000..baba6f6a --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icmask.com @@ -0,0 +1,8 @@ +# IMCMASK -- Common for IMCOMBINE mask interface. + +int mtype # Mask type +int mvalue # Mask value +pointer bufs # Pointer to data line buffers +pointer pms # Pointer to array of PMIO pointers + +common /imcmask/ mtype, mvalue, bufs, pms diff --git a/pkg/images/immatch/src/imcombine/src/icmask.h b/pkg/images/immatch/src/imcombine/src/icmask.h new file mode 100644 index 00000000..ffb64aa9 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icmask.h @@ -0,0 +1,12 @@ +# ICMASK -- Data structure for IMCOMBINE mask interface. + +define ICM_LEN 6 # Structure length +define ICM_TYPE Memi[$1] # Mask type +define ICM_VALUE Memi[$1+1] # Mask value +define ICM_IOMODE Memi[$1+2] # I/O mode +define ICM_BUFS Memi[$1+3] # Pointer to data line buffers +define ICM_PMS Memi[$1+4] # Pointer to array of PMIO pointers +define ICM_NAMES Memi[$1+5] # Pointer to array of mask names + +define ICM_OPEN 0 # Keep masks open +define ICM_CLOSED 1 # Keep masks closed diff --git a/pkg/images/immatch/src/imcombine/src/icmask.x b/pkg/images/immatch/src/imcombine/src/icmask.x new file mode 100644 index 00000000..ca9c1d02 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icmask.x @@ -0,0 +1,685 @@ +include <imhdr.h> +include <imset.h> +include <pmset.h> +include "icombine.h" +include "icmask.h" + +# IC_MASK -- ICOMBINE mask interface +# +# IC_MOPEN -- Initialize mask interface +# IC_MCLOSE -- Close the mask interface +# IC_MGET -- Get lines of mask pixels for all the images +# IC_MGET1 -- Get a line of mask pixels for the specified image +# IC_MCLOSE1-- Close a mask for the specified image index + + +# IC_MOPEN -- Initialize mask interface. + +procedure ic_mopen (in, out, nimages, offsets, iomode) + +pointer in[nimages] #I Input images +pointer out[ARB] #I Output images +int nimages #I Number of images +int offsets[nimages,ARB] #I Offsets to output image +int iomode #I I/O mode + +int mtype # Mask type +int mvalue # Mask value +pointer bufs # Pointer to data line buffers +pointer pms # Pointer to array of PMIO pointers +pointer names # Pointer to array of string pointers + +int i, j, k, nin, nout, npix, npms, nscan(), strdic(), ctor() +real rval +pointer sp, str, key, fname, title, image, pm, pm_open() +bool invert, pm_empty() +errchk calloc, pm_open, ic_pmload + +include "icombine.com" + +begin + icm = NULL + if (IM_NDIM(out[1]) == 0) + return + + call smark (sp) + call salloc (str, SZ_LINE, TY_CHAR) + call salloc (key, SZ_FNAME, TY_CHAR) + call salloc (fname, SZ_FNAME, TY_CHAR) + call salloc (title, SZ_FNAME, TY_CHAR) + call salloc (image, SZ_FNAME, TY_CHAR) + + # Determine the mask parameters and allocate memory. + # The mask buffers are initialize to all excluded so that + # output points outside the input data are always excluded + # and don't need to be set on a line-by-line basis. + + mtype = M_NONE + call clgstr ("masktype", Memc[str], SZ_LINE) + call sscan (Memc[str]) + call gargwrd (Memc[title], SZ_FNAME) + call gargwrd (Memc[key], SZ_FNAME) + i = nscan() + if (i > 0) { + if (Memc[title] == '!') { + if (i == 1) + mtype = M_GOODVAL + else + mtype = strdic (Memc[key], Memc[key], SZ_FNAME, MASKTYPES) + call strcpy (Memc[title+1], Memc[key], SZ_FNAME) + } else { + mtype = strdic (Memc[title], Memc[title], SZ_FNAME, MASKTYPES) + call strcpy ("BPM", Memc[key], SZ_FNAME) + } + if (mtype == 0) { + call sprintf (Memc[title], SZ_FNAME, + "Invalid or ambiguous masktype (%s)") + call pargstr (Memc[str]) + call error (1, Memc[title]) + } + } + npix = IM_LEN(out[1],1) + call calloc (pms, nimages, TY_POINTER) + call calloc (bufs, nimages, TY_POINTER) + call calloc (names, nimages, TY_POINTER) + do i = 1, nimages { + call malloc (Memi[bufs+i-1], npix, TY_INT) + call amovki (1, Memi[Memi[bufs+i-1]], npix) + } + + # Check for special cases. The BOOLEAN type is used when only + # zero and nonzero are significant; i.e. the actual mask values are + # not important. The invert flag is used to indicate that + # empty masks are all bad rather the all good. + + # Eventually we want to allow general expressions. For now we only + # allow a special '<' or '>' operator. + + call clgstr ("maskvalue", Memc[title], SZ_FNAME) + i = 1 + if (Memc[title] == '<') { + mtype = M_LTVAL + i = i + 1 + } else if (Memc[title] == '>') { + mtype = M_GTVAL + i = i + 1 + } + if (ctor (Memc[title], i, rval) == 0) + call error (1, "Bad mask value") + mvalue = rval + if (mvalue < 0) + call error (1, "Bad mask value") + else if (mvalue == 0 && mtype == M_NOVAL) + call error (1, "maskvalue cannot be 0 for masktype of 'novalue'") + + if (mtype == 0) + mtype = M_NONE + else if (mtype == M_BADBITS && mvalue == 0) + mtype = M_NONE + else if (mvalue == 0 && (mtype == M_GOODVAL || mtype == M_GOODBITS)) + mtype = M_BOOLEAN + else if ((mtype == M_BADVAL && mvalue == 0) || + (mtype == M_GOODVAL && mvalue != 0) || + (mtype == M_GOODBITS && mvalue == 0)) + invert = true + else + invert = false + + # If mask images are to be used, get the mask name from the image + # header and open it saving the descriptor in the pms array. + # Empty masks (all good) are treated as if there was no mask image. + + nout = IM_LEN(out[1],1) + npms = 0 + do i = 1, nimages { + if (mtype != M_NONE) { + call malloc (Memi[names+i-1], SZ_FNAME, TY_CHAR) + fname = Memi[names+i-1] + ifnoerr (call imgstr (in[i],Memc[key],Memc[fname],SZ_FNAME)) { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + if (npix < 1) + Memc[fname] = EOS + else { + pm = pm_open (NULL) + call ic_pmload (in[i], pm, Memc[fname], SZ_FNAME) + call pm_seti (pm, P_REFIM, in[i]) + if (pm_empty (pm) && !invert) + Memc[fname] = EOS + else { + if (project) + npms = nimages + else + npms = npms + 1 + } + call pm_close (pm) + } + if (project) + break + } else + Memc[fname] = EOS + } + } + + # If no mask images are found and the mask parameters imply that + # good values are 0 then use the special case of no masks. + + if (npms == 0) { + if (!invert) + mtype = M_NONE + } + + # Set up mask structure. + call calloc (icm, ICM_LEN, TY_STRUCT) + ICM_TYPE(icm) = mtype + ICM_VALUE(icm) = mvalue + ICM_IOMODE(icm) = iomode + ICM_BUFS(icm) = bufs + ICM_PMS(icm) = pms + ICM_NAMES(icm) = names + + call sfree (sp) +end + + +# IC_PMLOAD -- Find and load a mask. +# This is more complicated because we want to allow a mask name specified +# without a path to be found either in the current directory or in the +# directory of the image. + +procedure ic_pmload (im, pm, fname, maxchar) + +pointer im #I Image pointer to be associated with mask +pointer pm #O Mask pointer to be returned +char fname[ARB] #U Mask name +int maxchar #I Max size of mask name + +bool match +pointer sp, str, imname, yt_pmload() +int i, fnldir(), stridxs(), envfind() + +begin + call smark (sp) + call salloc (str, SZ_PATHNAME, TY_CHAR) + + # First check if the specified file can be loaded. + match = (envfind ("pmatch", Memc[str], SZ_PATHNAME) > 0) + if (match) { + call pm_close (pm) + iferr (pm = yt_pmload (fname,im,"logical",Memc[str],SZ_PATHNAME)) + pm = NULL + if (pm != NULL) + return + } else { + ifnoerr (call pm_loadf (pm, fname, Memc[str], SZ_PATHNAME)) + return + ifnoerr (call pm_loadim (pm, fname, Memc[str], SZ_PATHNAME)) + return + } + + # Check if the file has a path in which case we return an error. + # Must deal with possible [] which is a VMS directory delimiter. + call strcpy (fname, Memc[str], SZ_PATHNAME) + i = stridxs ("[", Memc[str]) + if (i > 0) + Memc[str+i-1] = EOS + if (fnldir (Memc[str], Memc[str], SZ_PATHNAME) > 0) { + call sprintf (Memc[str], SZ_PATHNAME, + "Bad pixel mask not found (%s)") + call pargstr (fname) + call error (1, Memc[str]) + } + + # Check if the image has a path. If not return an error. + call salloc (imname, SZ_PATHNAME, TY_CHAR) + call imstats (im, IM_IMAGENAME, Memc[imname], SZ_PATHNAME) + if (fnldir (Memc[imname], Memc[str], SZ_PATHNAME) == 0) { + call sprintf (Memc[str], SZ_PATHNAME, + "Bad pixel mask not found (%s)") + call pargstr (fname) + call error (1, Memc[str]) + } + + # Try using the image path for the mask file. + call strcat (fname, Memc[str], SZ_PATHNAME) + if (match) { + iferr (pm = yt_pmload (Memc[imname], im, "logical", + Memc[str], SZ_PATHNAME)) + pm = NULL + if (pm != NULL) { + call strcpy (Memc[str], fname, maxchar) + return + } + } else { + ifnoerr (call pm_loadf (pm, Memc[str], Memc[imname], SZ_PATHNAME)) { + call strcpy (Memc[str], fname, maxchar) + return + } + } + + # No mask found. + call sprintf (Memc[str], SZ_PATHNAME, + "Bad pixel mask not found (%s)") + call pargstr (fname) + call error (1, Memc[str]) + + # This will not be reached and we let the calling program free + # the stack. We include smark/sfree for lint detectors. + call sfree (sp) +end + + + +# IC_MCLOSE -- Close the mask interface. + +procedure ic_mclose (nimages) + +int nimages # Number of images + +int i +include "icombine.com" + +begin + if (icm == NULL) + return + + do i = 1, nimages { + call mfree (Memi[ICM_NAMES(icm)+i-1], TY_CHAR) + call mfree (Memi[ICM_BUFS(icm)+i-1], TY_INT) + } + do i = 1, nimages { + if (Memi[ICM_PMS(icm)+i-1] != NULL) + call pm_close (Memi[ICM_PMS(icm)+i-1]) + if (project) + break + } + call mfree (ICM_NAMES(icm), TY_POINTER) + call mfree (ICM_BUFS(icm), TY_POINTER) + call mfree (ICM_PMS(icm), TY_POINTER) + call mfree (icm, TY_STRUCT) +end + + +# IC_MGET -- Get lines of mask pixels in the output coordinate system. +# This converts the mask format to an array where zero is good and nonzero +# is bad. This has special cases for optimization. + +procedure ic_mget (in, out, offsets, v1, v2, m, lflag, nimages, mtype) + +pointer in[nimages] # Input image pointers +pointer out[ARB] # Output image pointer +int offsets[nimages,ARB] # Offsets to output image +long v1[IM_MAXDIM] # Data vector desired in output image +long v2[IM_MAXDIM] # Data vector in input image +pointer m[nimages] # Pointer to mask pointers +int lflag[nimages] # Line flags +int nimages # Number of images + +int mtype # Mask type +int mvalue # Mask value +int iomode # I/O mode +pointer bufs # Pointer to data line buffers +pointer pms # Pointer to array of PMIO pointers + +char title[1] +int i, j, k, l, ndim, nin, nout, npix, envfind() +pointer buf, pm, names, fname, pm_open(), yt_pmload() +bool match, pm_linenotempty() +errchk pm_glpi, pm_open, pm_loadf, pm_loadim, yt_pmload + +include "icombine.com" + +begin + # Determine if masks are needed at all. Note that the threshold + # is applied by simulating mask values so the mask pointers have to + # be set. + + dflag = D_ALL + mtype = M_NONE + if (icm == NULL) + return + if (ICM_TYPE(icm) == M_NONE && aligned && !dothresh) + return + + mtype = ICM_TYPE(icm) + mvalue = ICM_VALUE(icm) + iomode = ICM_IOMODE(icm) + bufs = ICM_BUFS(icm) + pms = ICM_PMS(icm) + names = ICM_NAMES(icm) + match = (envfind ("pmmatch", title, 1) > 0) + + # Set the mask pointers and line flags and apply offsets if needed. + + ndim = IM_NDIM(out[1]) + nout = IM_LEN(out[1],1) + do i = 1, nimages { + nin = IM_LEN(in[i],1) + j = max (0, offsets[i,1]) + k = min (nout, nin + offsets[i,1]) + npix = k - j + + m[i] = Memi[bufs+i-1] + buf = Memi[bufs+i-1] + j + if (project) { + pm = Memi[pms] + fname = Memi[names] + } else { + pm = Memi[pms+i-1] + fname = Memi[names+i-1] + } + + if (npix < 1) + lflag[i] = D_NONE + else if (npix == nout) + lflag[i] = D_ALL + else + lflag[i] = D_MIX + + if (lflag[i] != D_NONE) { + v2[1] = 1 + j - offsets[i,1] + do l = 2, ndim { + v2[l] = v1[l] - offsets[i,l] + if (v2[l] < 1 || v2[l] > IM_LEN(in[i],l)) { + lflag[i] = D_NONE + break + } + } + } + if (project) + v2[ndim+1] = i + + if (lflag[i] == D_NONE) { + if (pm != NULL && !project) { + call pm_close (pm) + Memi[pms+i-1] = NULL + } + call amovki (1, Memi[m[i]], nout) + next + } else if (lflag[i] == D_MIX) { + if (j > 0) + call amovki (1, Memi[m[i]], j) + if (nout-k > 0) + call amovki (1, Memi[m[i]+k], nout-k) + } + + if (fname == NULL) { + call aclri (Memi[buf], npix) + next + } else if (Memc[fname] == EOS) { + call aclri (Memi[buf], npix) + next + } + + # Do mask I/O and convert to appropriate values in order of + # expected usage. + + if (pm == NULL) { + if (match) { + pm = yt_pmload (Memc[fname], in[i], "logical", + Memc[fname], SZ_FNAME) + } else { + pm = pm_open (NULL) + iferr (call pm_loadf (pm, Memc[fname], title, 1)) + call pm_loadim (pm, Memc[fname], title, 1) + call pm_seti (pm, P_REFIM, in[i]) + } + if (project) + Memi[pms] = pm + else + Memi[pms+i-1] = pm + } + + if (pm_linenotempty (pm, v2)) { + call pm_glpi (pm, v2, Memi[buf], 32, npix, 0) + + if (mtype == M_BOOLEAN) + ; + else if (mtype == M_BADBITS) + call aandki (Memi[buf], mvalue, Memi[buf], npix) + else if (mtype == M_BADVAL) + call abeqki (Memi[buf], mvalue, Memi[buf], npix) + else if (mtype == M_NOVAL) { + do j = 0, npix-1 { + if (Memi[buf+j] == 0) + next + if (Memi[buf+j] == mvalue) + Memi[buf+j] = 1 + else + Memi[buf+j] = 2 + } + } else if (mtype == M_GOODBITS) { + call aandki (Memi[buf], mvalue, Memi[buf], npix) + call abeqki (Memi[buf], 0, Memi[buf], npix) + } else if (mtype == M_GOODVAL) + call abneki (Memi[buf], mvalue, Memi[buf], npix) + else if (mtype == M_LTVAL) + call abgeki (Memi[buf], mvalue, Memi[buf], npix) + else if (mtype == M_GTVAL) + call ableki (Memi[buf], mvalue, Memi[buf], npix) + + lflag[i] = D_NONE + do j = 1, npix + if (Memi[buf+j-1] != 1) { + lflag[i] = D_MIX + break + } + } else { + if (mtype == M_BOOLEAN || mtype == M_BADBITS) { + call aclri (Memi[buf], npix) + } else if ((mtype == M_BADVAL && mvalue != 0) || + (mtype == M_NOVAL && mvalue != 0) || + (mtype == M_GOODVAL && mvalue == 0)) { + call aclri (Memi[buf], npix) + } else if (mtype == M_LTVAL && mvalue > 0) { + call aclri (Memi[buf], npix) + } else { + call amovki (1, Memi[buf], npix) + lflag[i] = D_NONE + } + } + + if (iomode == ICM_CLOSED) + call ic_mclose1 (i, nimages) + } + + # Set overall data flag + dflag = lflag[1] + do i = 2, nimages { + if (lflag[i] != dflag) { + dflag = D_MIX + break + } + } +end + + +# IC_MGET1 -- Get line of mask pixels from a specified image. +# This is used by the IC_STAT procedure. This procedure converts the +# stored mask format to an array where zero is good and nonzero is bad. +# The data vector and returned mask array are in the input image pixel system. + +procedure ic_mget1 (in, image, nimages, offset, v, m) + +pointer in # Input image pointer +int image # Image index +int nimages # Number of images +int offset # Column offset +long v[IM_MAXDIM] # Data vector desired +pointer m # Pointer to mask + +int mtype # Mask type +int mvalue # Mask value +pointer bufs # Pointer to data line buffers +pointer pms # Pointer to array of PMIO pointers + +char title[1] +int i, npix, envfind() +pointer buf, pm, names, fname, pm_open(), yt_pmload() +bool pm_linenotempty() +errchk pm_glpi, pm_open, pm_loadf, pm_loadim, yt_pmload + +include "icombine.com" + +begin + dflag = D_ALL + if (icm == NULL) + return + if (ICM_TYPE(icm) == M_NONE) + return + + mtype = ICM_TYPE(icm) + mvalue = ICM_VALUE(icm) + bufs = ICM_BUFS(icm) + pms = ICM_PMS(icm) + names = ICM_NAMES(icm) + + npix = IM_LEN(in,1) + m = Memi[bufs+image-1] + offset + if (project) { + pm = Memi[pms] + fname = Memi[names] + } else { + pm = Memi[pms+image-1] + fname = Memi[names+image-1] + } + + if (fname == NULL) + return + if (Memc[fname] == EOS) + return + + if (pm == NULL) { + if (envfind ("pmmatch", title, 1) > 0) { + pm = yt_pmload (Memc[fname], in, "logical", Memc[fname], + SZ_FNAME) + } else { + pm = pm_open (NULL) + iferr (call pm_loadf (pm, Memc[fname], title, 1)) + call pm_loadim (pm, Memc[fname], title, 1) + call pm_seti (pm, P_REFIM, in) + } + if (project) + Memi[pms] = pm + else + Memi[pms+image-1] = pm + } + + # Do mask I/O and convert to appropriate values in order of + # expected usage. + + buf = m + if (pm_linenotempty (pm, v)) { + call pm_glpi (pm, v, Memi[buf], 32, npix, 0) + + if (mtype == M_BOOLEAN) + ; + else if (mtype == M_BADBITS) + call aandki (Memi[buf], mvalue, Memi[buf], npix) + else if (mtype == M_BADVAL) + call abeqki (Memi[buf], mvalue, Memi[buf], npix) + else if (mtype == M_NOVAL) { + do i = 0, npix-1 { + if (Memi[buf+i] == 0) + next + if (Memi[buf+i] == mvalue) + Memi[buf+i] = 1 + else + Memi[buf+i] = 2 + } + } else if (mtype == M_GOODBITS) { + call aandki (Memi[buf], mvalue, Memi[buf], npix) + call abeqki (Memi[buf], 0, Memi[buf], npix) + } else if (mtype == M_GOODVAL) + call abneki (Memi[buf], mvalue, Memi[buf], npix) + else if (mtype == M_LTVAL) + call abgeki (Memi[buf], mvalue, Memi[buf], npix) + else if (mtype == M_GTVAL) + call ableki (Memi[buf], mvalue, Memi[buf], npix) + + dflag = D_NONE + do i = 1, npix + if (Memi[buf+i-1] != 1) { + dflag = D_MIX + break + } + } else { + if (mtype == M_BOOLEAN || mtype == M_BADBITS) { + ; + } else if ((mtype == M_BADVAL && mvalue != 0) || + (mtype == M_NOVAL && mvalue != 0) || + (mtype == M_GOODVAL && mvalue == 0)) { + ; + } else if (mtype == M_LTVAL && mvalue > 0) { + ; + } else + dflag = D_NONE + } +end + + +# IC_MCLOSE1 -- Close mask by index. + +procedure ic_mclose1 (image, nimages) + +int image # Image index +int nimages # Number of images + +pointer pms, names, pm, fname +include "icombine.com" + +begin + if (icm == NULL) + return + + pms = ICM_PMS(icm) + names = ICM_NAMES(icm) + + if (project) { + pm = Memi[pms] + fname = Memi[names] + } else { + pm = Memi[pms+image-1] + fname = Memi[names+image-1] + } + + if (fname == NULL || pm == NULL) + return + if (Memc[fname] == EOS || pm == NULL) + return + + call pm_close (pm) + if (project) + Memi[pms] = NULL + else + Memi[pms+image-1] = NULL +end + + +# YT_PMLOAD -- This is like yt_mappm except it returns the mask pointer. + +pointer procedure yt_pmload (pmname, refim, match, mname, sz_mname) + +char pmname[ARB] #I Pixel mask name +pointer refim #I Reference image pointer +char match[ARB] #I Match by physical coordinates? +char mname[ARB] #O Expanded mask name +int sz_mname #O Size of expanded mask name +pointer pm #R Pixel mask pointer + +int imstati() +pointer im, yt_mappm() +errchk yt_mappm + +begin + im = yt_mappm (pmname, refim, match, mname, sz_mname) + if (im != NULL) { + pm = imstati (im, IM_PMDES) + call imseti (im, IM_PMDES, NULL) + call imunmap (im) + } else + pm = NULL + return (pm) +end diff --git a/pkg/images/immatch/src/imcombine/src/icmedian.gx b/pkg/images/immatch/src/imcombine/src/icmedian.gx new file mode 100644 index 00000000..164140a1 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icmedian.gx @@ -0,0 +1,246 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +$for (sird) +# IC_MEDIAN -- Median of lines + +procedure ic_median$t (d, n, npts, doblank, median) + +pointer d[ARB] # Input data line pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line +int doblank # Set blank values? +$if (datatype == sil) +real median[npts] # Median +$else +PIXEL median[npts] # Median +$endif + +int i, j, k, j1, j2, n1, lo, up, lo1, up1 +bool even +$if (datatype == silx) +real val1, val2, val3 +$else +PIXEL val1, val2, val3 +$endif +PIXEL temp, wtemp +$if (datatype == x) +real abs_temp +$endif + +include "../icombine.com" + +begin + # If no data return after possibly setting blank values. + if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + median[i]= blank + } + return + } + + # If the data were previously sorted then directly compute the median. + if (mclip) { + if (dflag == D_ALL) { + n1 = n[1] + j1 = n1 / 2 + 1 + j2 = n1 / 2 + even = (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) + do i = 1, npts { + k = i - 1 + if (even) { + val1 = Mem$t[d[j1]+k] + val2 = Mem$t[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Mem$t[d[j1]+k] + } + return + } else { + # Check for negative n values. If found then there are + # pixels with no good values but with values we want to + # use as a substitute median. In this case ignore that + # the good pixels have been sorted. + do i = 1, npts { + if (n[i] < 0) + break + } + + if (n[i] >= 0) { + do i = 1, npts { + k = i - 1 + n1 = n[i] + if (n1 > 0) { + j1 = n1 / 2 + 1 + if (mod(n1,2)==0 && (medtype==MEDAVG || n1>2)) { + j2 = n1 / 2 + val1 = Mem$t[d[j1]+k] + val2 = Mem$t[d[j2]+k] + median[i] = (val1 + val2) / 2. + } else + median[i] = Mem$t[d[j1]+k] + } else if (doblank == YES) + median[i] = blank + } + return + } + } + } + + # Compute the median. + do i = 1, npts { + k = i - 1 + n1 = abs(n[i]) + + # If there are more than 3 points use Wirth algorithm. This + # is the same as vops$amed.gx except for an even number of + # points it selects the middle two and averages. + if (n1 > 3) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Mem$t[d[j]+k]; lo1 = lo; up1 = up + $if (datatype == x) + abs_temp = abs (temp) + $endif + + repeat { + $if (datatype == x) + while (abs (Mem$t[d[lo1]+k]) < abs_temp) + $else + while (Mem$t[d[lo1]+k] < temp) + $endif + lo1 = lo1 + 1 + $if (datatype == x) + while (abs_temp < abs (Mem$t[d[up1]+k])) + $else + while (temp < Mem$t[d[up1]+k]) + $endif + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Mem$t[d[lo1]+k] + Mem$t[d[lo1]+k] = Mem$t[d[up1]+k] + Mem$t[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + + median[i] = Mem$t[d[j]+k] + + if (mod(n1,2)==0 && (medtype==MEDAVG || n1 > 2)) { + lo = 1 + up = n1 + j = max (lo, min (up, (up+1)/2)+1) + + while (lo < up) { + if (! (lo < up)) + break + + temp = Mem$t[d[j]+k]; lo1 = lo; up1 = up + $if (datatype == x) + abs_temp = abs (temp) + $endif + + repeat { + $if (datatype == x) + while (abs (Mem$t[d[lo1]+k]) < abs_temp) + $else + while (Mem$t[d[lo1]+k] < temp) + $endif + lo1 = lo1 + 1 + $if (datatype == x) + while (abs_temp < abs (Mem$t[d[up1]+k])) + $else + while (temp < Mem$t[d[up1]+k]) + $endif + up1 = up1 - 1 + if (lo1 <= up1) { + wtemp = Mem$t[d[lo1]+k] + Mem$t[d[lo1]+k] = Mem$t[d[up1]+k] + Mem$t[d[up1]+k] = wtemp + lo1 = lo1 + 1; up1 = up1 - 1 + } + } until (lo1 > up1) + + if (up1 < j) + lo = lo1 + if (j < lo1) + up = up1 + } + median[i] = (median[i] + Mem$t[d[j]+k]) / 2 + } + + # If 3 points find the median directly. + } else if (n1 == 3) { + $if (datatype == x) + val1 = abs (Mem$t[d[1]+k]) + val2 = abs (Mem$t[d[2]+k]) + val3 = abs (Mem$t[d[3]+k]) + if (val1 < val2) { + if (val2 < val3) # abc + median[i] = Mem$t[d[2]+k] + else if (val1 < val3) # acb + median[i] = Mem$t[d[3]+k] + else # cab + median[i] = Mem$t[d[1]+k] + } else { + if (val2 > val3) # cba + median[i] = Mem$t[d[2]+k] + else if (val1 > val3) # bca + median[i] = Mem$t[d[3]+k] + else # bac + median[i] = Mem$t[d[1]+k] + } + $else + val1 = Mem$t[d[1]+k] + val2 = Mem$t[d[2]+k] + val3 = Mem$t[d[3]+k] + if (val1 < val2) { + if (val2 < val3) # abc + median[i] = val2 + else if (val1 < val3) # acb + median[i] = val3 + else # cab + median[i] = val1 + } else { + if (val2 > val3) # cba + median[i] = val2 + else if (val1 > val3) # bca + median[i] = val3 + else # bac + median[i] = val1 + } + $endif + + # If 2 points average. + } else if (n1 == 2) { + val1 = Mem$t[d[1]+k] + val2 = Mem$t[d[2]+k] + if (medtype == MEDAVG) + median[i] = (val1 + val2) / 2 + else + median[i] = min (val1, val2) + + # If 1 point return the value. + } else if (n1 == 1) + median[i] = Mem$t[d[1]+k] + + # If no points return with a possibly blank value. + else if (doblank == YES) + median[i] = blank + } +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icmm.gx b/pkg/images/immatch/src/imcombine/src/icmm.gx new file mode 100644 index 00000000..860cb512 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icmm.gx @@ -0,0 +1,189 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +$for (sird) +# IC_MM -- Reject a specified number of high and low pixels + +procedure ic_mm$t (d, m, n, npts) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of good pixels +int npts # Number of output points per line + +int n1, ncombine, npairs, nlow, nhigh, np +int i, i1, j, jmax, jmin +pointer k, kmax, kmin +PIXEL d1, d2, dmin, dmax + +include "../icombine.com" + +begin + if (dflag == D_NONE) + return + + if (dflag == D_ALL) { + n1 = max (0, n[1]) + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = n1 - nlow - nhigh + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + do i = 1, npts { + i1 = i - 1 + n1 = max (0, n[i]) + if (dflag == D_MIX) { + nlow = flow * n1 + 0.001 + nhigh = fhigh * n1 + 0.001 + ncombine = max (ncombine, n1 - nlow - nhigh) + npairs = min (nlow, nhigh) + nlow = nlow - npairs + nhigh = nhigh - npairs + } + + # Reject the npairs low and high points. + do np = 1, npairs { + k = d[1] + i1 + $if (datatype == x) + d1 = abs (Mem$t[k]) + $else + d1 = Mem$t[k] + $endif + dmax = d1; dmin = d1; jmax = 1; jmin = 1; kmax = k; kmin = k + do j = 2, n1 { + d2 = d1 + k = d[j] + i1 + $if (datatype == x) + d1 = abs (Mem$t[k]) + $else + d1 = Mem$t[k] + $endif + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } else if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + j = n1 - 1 + if (keepids) { + if (jmax < j) { + if (jmin != j) { + Mem$t[kmax] = d2 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } else { + Mem$t[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } + if (jmin < j) { + if (jmax != n1) { + Mem$t[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } else { + Mem$t[kmin] = d2 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[j]+i1] + Memi[m[j]+i1] = k + } + } + } else { + if (jmax < j) { + if (jmin != j) + Mem$t[kmax] = d2 + else + Mem$t[kmax] = d1 + } + if (jmin < j) { + if (jmax != n1) + Mem$t[kmin] = d1 + else + Mem$t[kmin] = d2 + } + } + n1 = n1 - 2 + } + + # Reject the excess low points. + do np = 1, nlow { + k = d[1] + i1 + $if (datatype == x) + d1 = abs (Mem$t[k]) + $else + d1 = Mem$t[k] + $endif + dmin = d1; jmin = 1; kmin = k + do j = 2, n1 { + k = d[j] + i1 + $if (datatype == x) + d1 = abs (Mem$t[k]) + $else + d1 = Mem$t[k] + $endif + if (d1 < dmin) { + dmin = d1; jmin = j; kmin = k + } + } + if (keepids) { + if (jmin < n1) { + Mem$t[kmin] = d1 + k = Memi[m[jmin]+i1] + Memi[m[jmin]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmin < n1) + Mem$t[kmin] = d1 + } + n1 = n1 - 1 + } + + # Reject the excess high points. + do np = 1, nhigh { + k = d[1] + i1 + $if (datatype == x) + d1 = abs (Mem$t[k]) + $else + d1 = Mem$t[k] + $endif + dmax = d1; jmax = 1; kmax = k + do j = 2, n1 { + k = d[j] + i1 + $if (datatype == x) + d1 = abs (Mem$t[k]) + $else + d1 = Mem$t[k] + $endif + if (d1 > dmax) { + dmax = d1; jmax = j; kmax = k + } + } + if (keepids) { + if (jmax < n1) { + Mem$t[kmax] = d1 + k = Memi[m[jmax]+i1] + Memi[m[jmax]+i1] = Memi[m[n1]+i1] + Memi[m[n1]+i1] = k + } + } else { + if (jmax < n1) + Mem$t[kmax] = d1 + } + n1 = n1 - 1 + } + n[i] = n1 + } + + if (dflag == D_ALL && npairs + nlow + nhigh > 0) + dflag = D_MIX +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icnmodel.gx b/pkg/images/immatch/src/imcombine/src/icnmodel.gx new file mode 100644 index 00000000..0e020dc9 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icnmodel.gx @@ -0,0 +1,147 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <mach.h> +include "../icombine.h" +include "../icmask.h" + +$for (sird) +# IC_NMODEL -- Compute the quadrature average (or summed) noise model. +# Options include a weighted average/sum. + +procedure ic_nmodel$t (d, m, n, nm, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real nm[3,nimages] # Noise model parameters +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +$if (datatype == sil) +real average[npts] # Average (returned) +$else +PIXEL average[npts] # Average (returned) +$endif + +int i, j, k, n1 +real val, wt, sumwt +$if (datatype == sil) +real sum, zero +data zero /0.0/ +$else +PIXEL sum, zero +data zero /0$f/ +$endif + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = max (zero, Mem$t[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + do j = 2, n[i] { + val = max (zero, Mem$t[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = max (zero, Mem$t[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n[i] { + val = max (zero, Mem$t[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Mem$t[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + wt = wts[Memi[m[1]+k]] + sum = val * wt**2 + sumwt = wt + do j = 2, n1 { + val = max (zero, Mem$t[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + wt = wts[Memi[m[j]+k]] + sum = sum + val * wt**2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = max (zero, Mem$t[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = Mem$t[d[1]+k]**2 + do j = 2, n1 { + val = max (zero, Mem$t[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + + (val*nm[3,j])**2 + sum = sum + val + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = max (zero, Mem$t[d[1]+k]) + val = nm[1,1] + val/nm[2,1] + (val*nm[3,1])**2 + sum = val + do j = 2, n1 { + val = max (zero, Mem$t[d[j]+k]) + val = nm[1,j] + val/nm[2,j] + (val*nm[3,j])**2 + sum = sum + val + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icomb.gx b/pkg/images/immatch/src/imcombine/src/icomb.gx new file mode 100644 index 00000000..ae489158 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icomb.gx @@ -0,0 +1,761 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <imset.h> +include <pmset.h> +include <error.h> +include <syserr.h> +include <mach.h> +include "../icombine.h" + +# The following is for compiling under V2.11. +define IM_BUFFRAC IM_BUFSIZE +include <imset.h> + + +# ICOMBINE -- Combine images +# +# The memory and open file descriptor limits are checked and an attempt +# to recover is made either by setting the image pixel files to be +# closed after I/O or by notifying the calling program that memory +# ran out and the IMIO buffer size should be reduced. After the checks +# a procedure for the selected combine option is called. +# Because there may be several failure modes when reaching the file +# limits we first assume an error is due to the file limit, except for +# out of memory, and close some pixel files. If the error then repeats +# on accessing the pixels the error is passed back. + +$for (sird) +procedure icombine$t (in, out, scales, zeros, wts, offsets, nimages, bufsize) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +real scales[nimages] # Scales +real zeros[nimages] # Zeros +real wts[nimages] # Weights +int offsets[nimages,ARB] # Input image offsets +int nimages # Number of input images +int bufsize # IMIO buffer size + +char str[1] +int i, j, k, npts, fd, stropen(), xt_imgnl$t() +pointer sp, d, id, n, m, lflag, v, dbuf +pointer im, buf, xt_opix(), impl1i() +errchk stropen, xt_cpix, xt_opix, xt_imgnl$t, impl1i, ic_combine$t +$if (datatype == sil) +pointer impl1r() +errchk impl1r +$else +pointer impl1$t() +errchk impl1$t +$endif + +include "../icombine.com" + +begin + npts = IM_LEN(out[1],1) + + # Allocate memory. + call smark (sp) + call salloc (dbuf, nimages, TY_POINTER) + call salloc (d, nimages, TY_POINTER) + call salloc (id, nimages, TY_POINTER) + call salloc (n, npts, TY_INT) + call salloc (m, nimages, TY_POINTER) + call salloc (lflag, nimages, TY_INT) + call salloc (v, IM_MAXDIM, TY_LONG) + call amovki (D_ALL, Memi[lflag], nimages) + call amovkl (1, Meml[v], IM_MAXDIM) + + # If not aligned or growing create data buffers of output length + # otherwise use the IMIO buffers. + + if (!aligned || grow >= 1.) { + do i = 1, nimages { + call salloc (Memi[dbuf+i-1], npts, TY_PIXEL) + call aclr$t (Mem$t[Memi[dbuf+i-1]], npts) + } + } else { + do i = 1, nimages { + im = xt_opix (in[i], i, 1) + if (im != in[i]) { + call salloc (Memi[dbuf+i-1], npts, TY_PIXEL) + call aclr$t (Mem$t[Memi[dbuf+i-1]], npts) + } + } + call amovki (NULL, Memi[dbuf], nimages) + } + + if (project) { + call imseti (in[1], IM_NBUFS, nimages) + call imseti (in[1], IM_BUFFRAC, 0) + call imseti (in[1], IM_BUFSIZE, bufsize) + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + } else { + # Reserve FD for string operations. + fd = stropen (str, 1, NEW_FILE) + + # Do I/O to the images. + do i = 1, 6 { + if (out[i] != NULL) { + call imseti (out[i], IM_BUFFRAC, 0) + call imseti (out[i], IM_BUFSIZE, bufsize) + } + } + $if (datatype == sil) + buf = impl1r (out[1]) + call aclrr (Memr[buf], npts) + if (out[3] != NULL) { + buf = impl1r (out[3]) + call aclrr (Memr[buf], npts) + } + $else + buf = impl1$t (out[1]) + call aclr$t (Mem$t[buf], npts) + if (out[3] != NULL) { + buf = impl1$t (out[3]) + call aclr$t (Mem$t[buf], npts) + } + $endif + if (out[2] != NULL) { + buf = impl1i (out[2]) + call aclri (Memi[buf], npts) + } + if (out[4] != NULL) { + buf = impl1i (out[4]) + call aclri (Memi[buf], npts) + } + if (out[5] != NULL) { + buf = impl1i (out[5]) + call aclri (Memi[buf], npts) + } + if (out[6] != NULL) { + buf = impl1i (out[6]) + call aclri (Memi[buf], npts) + } + + # Do I/O for first input image line. + if (!project) { + do i = 1, nimages { + call xt_imseti (i, "bufsize", bufsize) + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + call xt_cpix (i) + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + call xt_cpix (i) + } + + do i = 1, nimages { + j = max (0, offsets[i,1]) + k = min (npts, IM_LEN(in[i],1) + offsets[i,1]) + if (k - j < 1) + next + j = 1 - offsets[i,2] + if (j < 1 || j > IM_LEN(in[i],2)) + next + iferr { + Meml[v+1] = j + j = xt_imgnl$t (in[i], i, buf, Meml[v], 1) + } then { + call imseti (im, IM_PIXFD, NULL) + call sfree (sp) + call strclose (fd) + call erract (EA_ERROR) + } + } + } + + call strclose (fd) + } + + call ic_combine$t (in, out, Memi[dbuf], Memi[d], Memi[id], Memi[n], + Memi[m], Memi[lflag], offsets, scales, zeros, wts, nimages, npts) +end + + +# IC_COMBINE -- Combine images. + +procedure ic_combine$t (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, wts, nimages, npts) + +pointer in[nimages] # Input images +pointer out[ARB] # Output image +pointer dbuf[nimages] # Data buffers for nonaligned images +pointer d[nimages] # Data pointers +pointer id[nimages] # Image index ID pointers +int n[npts] # Number of good pixels +pointer m[nimages] # Mask pointers +int lflag[nimages] # Line flags +int offsets[nimages,ARB] # Input image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero offset factors +real wts[nimages] # Combining weights +int nimages # Number of input images +int npts # Number of points per output line + +int i, ext, ctor(), errcode() +real r, imgetr() +pointer sp, fname, imname, v1, v2, v3, work +pointer outdata, buf, nmod, nm, pms +pointer immap(), impnli() +$if (datatype == sil) +pointer impnlr(), imgnlr() +$else +pointer impnl$t(), imgnl$t +$endif +errchk immap, ic_scale, imgetr, ic_grow, ic_grow$t, ic_rmasks, ic_emask +errchk ic_gdata$t + +include "../icombine.com" +data ext/0/ + +begin + call smark (sp) + call salloc (fname, SZ_FNAME, TY_CHAR) + call salloc (imname, SZ_FNAME, TY_CHAR) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (v3, IM_MAXDIM, TY_LONG) + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + + call ic_scale (in, out, offsets, scales, zeros, wts, nimages) + + # Set combine parameters + switch (combine) { + case AVERAGE, SUM, QUAD, NMODEL: + if (dowts) + keepids = true + else + keepids = false + case MEDIAN: + dowts = false + keepids = false + } + docombine = true + + # Get noise model parameters. + if (combine==NMODEL) { + call salloc (nmod, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nmod+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nmod+3*(i-1)+1] = r * scales[i] + Memr[nmod+3*(i-1)] = + max ((Memr[nmod+3*(i-1)] / Memr[nmod+3*(i-1)+1]) ** 2, + 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nmod+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nmod+3*(i-1)+2] = r + } + } + } + + # Set rejection algorithm specific parameters + switch (reject) { + case CCDCLIP, CRREJECT: + call salloc (nm, 3*nimages, TY_REAL) + i = 1 + if (ctor (Memc[rdnoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)] = r + } else { + do i = 1, nimages + Memr[nm+3*(i-1)] = imgetr (in[i], Memc[rdnoise]) + } + i = 1 + if (ctor (Memc[gain], i, r) > 0) { + do i = 1, nimages { + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[gain]) + Memr[nm+3*(i-1)+1] = r + Memr[nm+3*(i-1)] = + max ((Memr[nm+3*(i-1)] / r) ** 2, 1e4 / MAX_REAL) + } + } + i = 1 + if (ctor (Memc[snoise], i, r) > 0) { + do i = 1, nimages + Memr[nm+3*(i-1)+2] = r + } else { + do i = 1, nimages { + r = imgetr (in[i], Memc[snoise]) + Memr[nm+3*(i-1)+2] = r + } + } + if (!keepids) { + if (doscale1) + keepids = true + else { + do i = 2, nimages { + if (Memr[nm+3*(i-1)] != Memr[nm] || + Memr[nm+3*(i-1)+1] != Memr[nm+1] || + Memr[nm+3*(i-1)+2] != Memr[nm+2]) { + keepids = true + break + } + } + } + } + if (reject == CRREJECT) + lsigma = MAX_REAL + case MINMAX: + mclip = false + case PCLIP: + mclip = true + case AVSIGCLIP, SIGCLIP: + if (doscale1) + keepids = true + case NONE: + mclip = false + } + + if (out[4] != NULL) + keepids = true + + if (out[6] != NULL) { + keepids = true + call ic_einit (in, nimages, Memc[expkeyword], 1., 2**27-1) + } + + if (grow >= 1.) { + keepids = true + call salloc (work, npts * nimages, TY_INT) + } + pms = NULL + + if (keepids) { + do i = 1, nimages + call salloc (id[i], npts, TY_INT) + } + +# This idea turns out to has a problem with masks are used with wcs offsets. +# the matching of masks to images based on WCS requires access to the WCS +# of the images. For now we drop this idea but maybe a way can be identified +# to know when this is not going to be needed. +# # Reduce header memory use. +# do i = 1, nimages +# call xt_minhdr (i) + + $if (datatype == sil) + while (impnlr (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdata$t (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + switch (reject) { + case CCDCLIP, CRREJECT: + if (mclip) + call ic_mccdclip$t (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memr[outdata]) + else + call ic_accdclip$t (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Memr[outdata]) + case MINMAX: + call ic_mm$t (d, id, n, npts) + case PCLIP: + call ic_pclip$t (d, id, n, nimages, npts, Memr[outdata]) + case SIGCLIP: + if (mclip) + call ic_msigclip$t (d, id, n, scales, zeros, nimages, npts, + Memr[outdata]) + else + call ic_asigclip$t (d, id, n, scales, zeros, nimages, npts, + Memr[outdata]) + case AVSIGCLIP: + if (mclip) + call ic_mavsigclip$t (d, id, n, scales, zeros, nimages, + npts, Memr[outdata]) + else + call ic_aavsigclip$t (d, id, n, scales, zeros, nimages, + npts, Memr[outdata]) + } + + if (pms == NULL || nkeep > 0) { + if (docombine) { + switch (combine) { + case AVERAGE: + call ic_average$t (d, id, n, wts, nimages, npts, + YES, YES, Memr[outdata]) + case MEDIAN: + call ic_median$t (d, n, npts, YES, Memr[outdata]) + case SUM: + call ic_average$t (d, id, n, wts, nimages, npts, + YES, NO, Memr[outdata]) + case QUAD: + call ic_quad$t (d, id, n, wts, nimages, npts, + YES, YES, Memr[outdata]) + case NMODEL: + call ic_nmodel$t (d, id, n, Memr[nmod], wts, + nimages, npts, YES, YES, Memr[outdata]) + } + } + } + + if (grow >= 1.) + call ic_grow (out, Meml[v2], id, n, Memi[work], nimages, npts, + pms) + + if (pms == NULL) { + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnlr (out[3], buf, Meml[v1]) + call ic_sigma$t (d, id, n, wts, npts, Memr[outdata], + Memr[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + } + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + $else + while (impnl$t (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdata$t (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + switch (reject) { + case CCDCLIP, CRREJECT: + if (mclip) + call ic_mccdclip$t (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Mem$t[outdata]) + else + call ic_accdclip$t (d, id, n, scales, zeros, Memr[nm], + nimages, npts, Mem$t[outdata]) + case MINMAX: + call ic_mm$t (d, id, n, npts) + case PCLIP: + call ic_pclip$t (d, id, n, nimages, npts, Mem$t[outdata]) + case SIGCLIP: + if (mclip) + call ic_msigclip$t (d, id, n, scales, zeros, nimages, npts, + Mem$t[outdata]) + else + call ic_asigclip$t (d, id, n, scales, zeros, nimages, npts, + Mem$t[outdata]) + case AVSIGCLIP: + if (mclip) + call ic_mavsigclip$t (d, id, n, scales, zeros, nimages, + npts, Mem$t[outdata]) + else + call ic_aavsigclip$t (d, id, n, scales, zeros, nimages, + npts, Mem$t[outdata]) + } + + if (pms == NULL || nkeep > 0) { + if (docombine) { + switch (combine) { + case AVERAGE: + call ic_average$t (d, id, n, wts, nimages, npts, + YES, YES, Mem$t[outdata]) + case MEDIAN: + call ic_median$t (d, n, npts, YES, Mem$t[outdata]) + case SUM: + call ic_average$t (d, id, n, wts, nimages, npts, + YES, NO, Mem$t[outdata]) + case QUAD: + call ic_quad$t (d, id, n, wts, nimages, npts, + YES, YES, Mem$t[outdata]) + case NMODEL: + call ic_nmodel$t (d, id, n, Memr[nmod], wts, + nimages, npts, YES, YES, Mem$t[outdata]) + } + } + } + + if (grow >= 1.) + call ic_grow (out, Meml[v2], id, n, Memi[work], nimages, npts, + pms) + + if (pms == NULL) { + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 2 + buf = buf + 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnl$t (out[3], buf, Meml[v1]) + call ic_sigma$t (d, id, n, wts, npts, Mem$t[outdata], + Mem$t[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + } + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + $endif + + if (pms != NULL) { + if (nkeep > 0) { + call imstats (out[1], IM_IMAGENAME, Memc[fname], SZ_FNAME) + call imunmap (out[1]) + iferr (buf = immap (Memc[fname], READ_WRITE, 0)) { + switch (errcode()) { + case SYS_FXFOPNOEXTNV: + call imgcluster (Memc[fname], Memc[fname], SZ_FNAME) + ext = ext + 1 + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext) + iferr (buf = immap (Memc[imname], READ_WRITE, 0)) { + buf = NULL + ext = 0 + } + repeat { + call sprintf (Memc[imname], SZ_FNAME, "%s[%d]") + call pargstr (Memc[fname]) + call pargi (ext+1) + iferr (outdata = immap (Memc[imname],READ_WRITE,0)) + break + if (buf != NULL) + call imunmap (buf) + buf = outdata + ext = ext + 1 + } + default: + call erract (EA_ERROR) + } + } + out[1] = buf + } + + call amovkl (long(1), Meml[v1], IM_MAXDIM) + call amovkl (long(1), Meml[v2], IM_MAXDIM) + call amovkl (long(1), Meml[v3], IM_MAXDIM) + $if (datatype == sil) + while (impnlr (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdata$t (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + call ic_grow$t (Meml[v2], d, id, n, Memi[work], nimages, npts, + pms) + + if (nkeep > 0) { + do i = 1, npts { + if (n[i] < nkeep) { + Meml[v1+1] = Meml[v1+1] - 1 + if (imgnlr (out[1], buf, Meml[v1]) == EOF) + ; + call amovr (Memr[buf], Memr[outdata], npts) + break + } + } + } + + switch (combine) { + case AVERAGE: + call ic_average$t (d, id, n, wts, nimages, npts, + NO, YES, Memr[outdata]) + case MEDIAN: + call ic_median$t (d, n, npts, NO, Memr[outdata]) + case SUM: + call ic_average$t (d, id, n, wts, nimages, npts, + NO, NO, Memr[outdata]) + case QUAD: + call ic_quad$t (d, id, n, wts, nimages, npts, + NO, YES, Memr[outdata]) + case NMODEL: + call ic_nmodel$t (d, id, n, Memr[nmod], wts, + nimages, npts, NO, YES, Memr[outdata]) + } + + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 2 + buf = buf + 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnlr (out[3], buf, Meml[v1]) + call ic_sigma$t (d, id, n, wts, npts, Memr[outdata], + Memr[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + $else + while (impnl$t (out[1], outdata, Meml[v1]) != EOF) { + call ic_gdata$t (in, out, dbuf, d, id, n, m, lflag, offsets, + scales, zeros, nimages, npts, Meml[v2], Meml[v3]) + + call ic_grow$t (Meml[v2], d, id, n, Memi[work], nimages, npts, + pms) + + if (nkeep > 0) { + do i = 1, npts { + if (n[i] < nkeep) { + Meml[v1+1] = Meml[v1+1] - 1 + if (imgnl$t (out[1], buf, Meml[v1]) == EOF) + ; + call amov$t (Mem$t[buf], Mem$t[outdata], npts) + break + } + } + } + + switch (combine) { + case AVERAGE: + call ic_average$t (d, id, n, wts, nimages, npts, + NO, YES, Mem$t[outdata]) + case MEDIAN: + call ic_median$t (d, n, npts, NO, Mem$t[outdata]) + case SUM: + call ic_average$t (d, id, n, wts, nimages, npts, + NO, NO, Mem$t[outdata]) + case QUAD: + call ic_quad$t (d, id, n, wts, nimages, npts, + NO, YES, Mem$t[outdata]) + case NMODEL: + call ic_nmodel$t (d, id, n, Memr[nmod], wts, + nimages, npts, NO, YES, Mem$t[outdata]) + } + + if (out[2] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[2], buf, Meml[v1]) + do i = 1, npts { + if (n[i] > 0) + Memi[buf] = 0 + else if (n[i] == 0) + Memi[buf] = 1 + else + Memi[buf] = 2 + buf = buf + 1 + } + } + + if (out[3] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnl$t (out[3], buf, Meml[v1]) + call ic_sigma$t (d, id, n, wts, npts, Mem$t[outdata], + Mem$t[buf]) + } + + if (out[4] != NULL) + call ic_rmasks (out[4], Meml[v2], id, nimages, n, npts) + + if (out[5] != NULL) { + call amovl (Meml[v2], Meml[v1], IM_MAXDIM) + i = impnli (out[5], buf, Meml[v1]) + call amovki (nimages, Memi[buf], npts) + call asubi (Memi[buf], n, Memi[buf], npts) + } + + if (out[6] != NULL) + call ic_emask (out[6], Meml[v2], id, nimages, n, wts, npts) + + call amovl (Meml[v1], Meml[v2], IM_MAXDIM) + } + $endif + + do i = 1, nimages + call pm_close (Memi[pms+i-1]) + call mfree (pms, TY_POINTER) + } + + call sfree (sp) +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icombine.com b/pkg/images/immatch/src/imcombine/src/icombine.com new file mode 100644 index 00000000..55ad308b --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icombine.com @@ -0,0 +1,45 @@ +# ICOMBINE Common + +int combine # Combine algorithm +int medtype # Median type +int reject # Rejection algorithm +bool project # Combine across the highest dimension? +real blank # Blank value +pointer expkeyword # Exposure time keyword +pointer statsec # Statistics section +pointer rdnoise # CCD read noise +pointer gain # CCD gain +pointer snoise # CCD sensitivity noise +real lthresh # Low threshold +real hthresh # High threshold +int nkeep # Minimum to keep +real lsigma # Low sigma cutoff +real hsigma # High sigma cutoff +real pclip # Number or fraction of pixels from median +real flow # Fraction of low pixels to reject +real fhigh # Fraction of high pixels to reject +real grow # Grow radius +bool mclip # Use median in sigma clipping? +real sigscale # Sigma scaling tolerance +int logfd # Log file descriptor + +# These flags allow special conditions to be optimized. + +int dflag # Data flag (D_ALL, D_NONE, D_MIX) +bool aligned # Are the images aligned? +bool doscale # Do the images have to be scaled? +bool doscale1 # Do the sigma calculations have to be scaled? +bool dothresh # Check pixels outside specified thresholds? +bool dowts # Does the final average have to be weighted? +bool keepids # Keep track of the image indices? +bool docombine # Call the combine procedure? +bool sort # Sort data? +bool verbose # Verbose? + +pointer icm # Mask data structure + +common /imccom/ combine, medtype, reject, blank, expkeyword, statsec, rdnoise, + gain, snoise, lsigma, hsigma, lthresh, hthresh, nkeep, + pclip, flow, fhigh, grow, logfd, dflag, sigscale, project, + mclip, aligned, doscale, doscale1, dothresh, dowts, + keepids, docombine, sort, verbose, icm diff --git a/pkg/images/immatch/src/imcombine/src/icombine.h b/pkg/images/immatch/src/imcombine/src/icombine.h new file mode 100644 index 00000000..51f60887 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icombine.h @@ -0,0 +1,63 @@ +# ICOMBINE Definitions + +# Memory management parameters; +define MAXMEMORY 500000000 # maximum memory +define FUDGE 0.8 # fudge factor + +# Rejection options: +define REJECT "|none|ccdclip|crreject|minmax|pclip|sigclip|avsigclip|" +define NONE 1 # No rejection algorithm +define CCDCLIP 2 # CCD noise function clipping +define CRREJECT 3 # CCD noise function clipping +define MINMAX 4 # Minmax rejection +define PCLIP 5 # Percentile clip +define SIGCLIP 6 # Sigma clip +define AVSIGCLIP 7 # Sigma clip with average poisson sigma + +# Combine options: +define COMBINE "|average|median|lmedian|sum|quadrature|nmodel|" +define AVERAGE 1 +define MEDIAN 2 +define LMEDIAN 3 +define SUM 4 +define QUAD 5 +define NMODEL 6 + +# Median types: +define MEDAVG 1 # Central average for even N +define MEDLOW 2 # Lower value for even N + +# Scaling options: +define STYPES "|none|mode|median|mean|exposure|" +define ZTYPES "|none|mode|median|mean|" +define WTYPES "|none|mode|median|mean|exposure|" +define S_NONE 1 +define S_MODE 2 +define S_MEDIAN 3 +define S_MEAN 4 +define S_EXPOSURE 5 +define S_FILE 6 +define S_KEYWORD 7 +define S_SECTION "|input|output|overlap|" +define S_INPUT 1 +define S_OUTPUT 2 +define S_OVERLAP 3 + +# Mask options +define MASKTYPES "|none|goodvalue|badvalue|goodbits|badbits|novalue|" +define M_NONE 1 # Don't use mask images +define M_GOODVAL 2 # Value selecting good pixels +define M_BADVAL 3 # Value selecting bad pixels +define M_GOODBITS 4 # Bits selecting good pixels +define M_BADBITS 5 # Bits selecting bad pixels +define M_NOVAL 6 # Value selecting no value (good = 0) +define M_LTVAL 7 # Values less than specified are good +define M_GTVAL 8 # Values greater than specified are good +define M_BOOLEAN -1 # Ignore mask values + +# Data flag +define D_ALL 0 # All pixels are good +define D_NONE 1 # All pixels are bad or rejected +define D_MIX 2 # Mixture of good and bad pixels + +define TOL 0.001 # Tolerance for equal residuals diff --git a/pkg/images/immatch/src/imcombine/src/icombine.x b/pkg/images/immatch/src/imcombine/src/icombine.x new file mode 100644 index 00000000..b6e5ddd4 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icombine.x @@ -0,0 +1,520 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <imset.h> +include <error.h> +include <syserr.h> +include "icombine.h" + + +# ICOMBINE -- Combine input list or image. +# This procedure maps the images, sets the output dimensions and datatype, +# opens the logfile, and sets IMIO parameters. It attempts to adjust +# buffer sizes and memory requirements for maximum efficiency. + +procedure icombine (list, output, headers, bmask, rmask, nrmask, emask, + sigma, logfile, scales, zeros, wts, stack, delete, listonly) + +int list #I List of input images +char output[ARB] #I Output image +char headers[ARB] #I Output header rootname +char bmask[ARB] #I Bad pixel mask +char rmask[ARB] #I Rejection mask +char nrmask[ARB] #I Nreject mask +char emask[ARB] #I Exposure mask +char sigma[ARB] #I Sigma image (optional) +char logfile[ARB] #I Logfile (optional) +real scales[ARB] #I Scale factors +real zeros[ARB] #I Offset factors +real wts[ARB] #I Weights +int stack #I Stack input images? +int delete #I Delete input images? +int listonly #I List images to combine? + +bool proj +char input[SZ_FNAME], errstr[SZ_LINE] +int i, j, nimages, intype, bufsize, oldsize, stack1, err, retry +int maxsize, maxmemory, memory +pointer sp, im, in1, in, out[6], offsets, key, tmp, bpmstack + +char clgetc() +int clgwrd(), imtlen(), imtgetim(), imtrgetim(), getdatatype(), envgeti() +int begmem(), errget(), open(), ty_max(), sizeof(), strmatch() +pointer immap(), xt_immap(), ic_pmmap() +errchk ic_imstack, immap, imunmap, xt_immap, ic_pmmap, ic_setout + +include "icombine.com" + +define retry_ 98 +define err_ 99 + +begin + if (listonly == YES) { + # Write the output list. + if (output[1] == EOS) { + call imtrew (list) + while (imtgetim (list, input, SZ_FNAME)!=EOF) { + i = strmatch (input, "[0]") - 3 + if (i > 0) + call strcpy (input[i+3], input[i], SZ_FNAME) + call printf ("%s\n") + call pargstr (input) + } + } else { + call sprintf (errstr, SZ_LINE, "%s.list") + call pargstr (output) + iferr (logfd = open (errstr, APPEND, TEXT_FILE)) + call erract (EA_WARN) + call imtrew (list) + while (imtgetim (list, input, SZ_FNAME)!=EOF) { + i = strmatch (input, "[0]") - 3 + if (i > 0) + call strcpy (input[i+3], input[i], SZ_FNAME) + call printf ("%s -> %s\n") + call pargstr (input) + call pargstr (errstr) + call fprintf (logfd, "%s\n") + call pargstr (input) + } + call close (logfd) + } + return + } + + nimages = imtlen (list) + if (nimages == 0) + call error (1, "No images to combine") + + if (project) { + if (imtgetim (list, input, SZ_FNAME) == EOF) + call error (1, "No image to project") + } + + bufsize = 0 +# if (nimages > LAST_FD - 15) +# stack1 = YES +# else + stack1 = stack + + retry = 0 + +retry_ + iferr { + call smark (sp) + call salloc (in, 1, TY_POINTER) + + nimages = 0 + in1 = NULL; Memi[in] = NULL; logfd = NULL + out[1] = NULL; out[2] = NULL; out[3] = NULL + out[4] = NULL; out[5] = NULL; out[6] = NULL + + # Stack the input images. + if (stack1 == YES) { + proj = project + project = true + call salloc (bpmstack, SZ_FNAME, TY_CHAR) + i = clgwrd ("masktype", Memc[bpmstack], SZ_FNAME, MASKTYPES) + if (i == M_NONE) + Memc[bpmstack] = EOS + else { + call mktemp ("tmp", Memc[bpmstack], SZ_FNAME) + call strcat (".pl", Memc[bpmstack], SZ_FNAME) + } + call mktemp ("tmp", input, SZ_FNAME) + call imtrew (list) + call ic_imstack (list, input, Memc[bpmstack]) + } + + # Open the input image(s). + if (project) { + tmp = immap (input, READ_ONLY, 0); out[1] = tmp + if (IM_NDIM(out[1]) == 1) + call error (1, "Can't project one dimensional images") + nimages = IM_LEN(out[1],IM_NDIM(out[1])) + call salloc (in, nimages, TY_POINTER) + call amovki (out[1], Memi[in], nimages) + } else { + call salloc (in, imtlen(list), TY_POINTER) + call amovki (NULL, Memi[in], imtlen(list)) + call imtrew (list) + while (imtgetim (list, input, SZ_FNAME)!=EOF) { + nimages = nimages + 1 + tmp = xt_immap (input, READ_ONLY, 0, nimages, retry) + Memi[in+nimages-1] = tmp + } + + # Check sizes and set I/O option. + intype = 0 + tmp = Memi[in] + do i = 2, nimages { + do j = 1, IM_NDIM(tmp) { + if (IM_LEN(tmp,j) != IM_LEN(Memi[in+i-1],j)) + intype = 1 + } + if (intype == 1) + break + } + if (intype == 1) + call xt_imseti (0, "option", intype) + } + + # Check if there are no images. + if (nimages == 0) + call error (1, "No images to combine") + + # Convert the pclip parameter to a number of pixels rather than + # a fraction. This number stays constant even if pixels are + # rejected. The number of low and high pixel rejected, however, + # are converted to a fraction of the valid pixels. + + if (reject == PCLIP) { + i = nimages / 2. + if (abs (pclip) < 1.) + pclip = pclip * i + if (pclip < 0.) + pclip = min (-1, max (-i, int (pclip))) + else + pclip = max (1, min (i, int (pclip))) + } + + if (reject == MINMAX) { + if (flow >= 1) + flow = flow / nimages + if (fhigh >= 1) + fhigh = fhigh / nimages + i = flow * nimages + j = fhigh * nimages + if (i + j == 0) + reject = NONE + else if (i + j >= nimages) + call error (1, "Bad minmax rejection parameters") + } + + # Map the output image and set dimensions and offsets. + if (stack1 == YES) { + call imtrew (list) + i = imtgetim (list, errstr, SZ_LINE) + in1 = immap (errstr, READ_ONLY, 0) + tmp = immap (output, NEW_COPY, in1); out[1] = tmp + call salloc (key, SZ_FNAME, TY_CHAR) + do i = 1, nimages { + call sprintf (Memc[key], SZ_FNAME, "stck%04d") + call pargi (i) + iferr (call imdelf (out[1], Memc[key])) + ; + if (Memc[bpmstack] != EOS) { + call sprintf (Memc[key], SZ_FNAME, "bpm%04d") + call pargi (i) + iferr (call imdelf (out[1], Memc[key])) + ; + } + } + } else { + tmp = immap (output, NEW_COPY, Memi[in]); out[1] = tmp + if (project) { + IM_LEN(out[1],IM_NDIM(out[1])) = 1 + IM_NDIM(out[1]) = IM_NDIM(out[1]) - 1 + } + } + call salloc (offsets, nimages*IM_NDIM(out[1]), TY_INT) + iferr (call ic_setout (Memi[in], out, Memi[offsets], nimages)) { + call erract (EA_WARN) + call error (1, "Can't set output geometry") + } + call ic_hdr (Memi[in], out, nimages) + iferr (call imdelf (out, "BPM")) + ; + + # Determine the highest precedence datatype and set output datatype. + intype = IM_PIXTYPE(Memi[in]) + do i = 2, nimages + intype = ty_max (intype, IM_PIXTYPE(Memi[in+i-1])) + IM_PIXTYPE(out[1]) = getdatatype (clgetc ("outtype")) + if (IM_PIXTYPE(out[1]) == ERR) + IM_PIXTYPE(out[1]) = intype + + # Open rejection masks + if (rmask[1] != EOS) { + tmp = ic_pmmap (rmask, NEW_COPY, out[1]); out[4] = tmp + IM_NDIM(out[4]) = IM_NDIM(out[4]) + 1 + IM_LEN(out[4],IM_NDIM(out[4])) = nimages + if (!project) { + if (key == NULL) + call salloc (key, SZ_FNAME, TY_CHAR) + do i = 100, nimages { + j = imtrgetim (list, i, input, SZ_FNAME) + if (i < 999) + call sprintf (Memc[key], SZ_FNAME, "imcmb%d") + else if (i < 9999) + call sprintf (Memc[key], SZ_FNAME, "imcm%d") + else + call sprintf (Memc[key], SZ_FNAME, "imc%d") + call pargi (i) + call imastr (out[4], Memc[key], input) + } + } + } else + out[4] = NULL + + # Open bad pixel pixel list file if given. + if (bmask[1] != EOS) { + tmp = ic_pmmap (bmask, NEW_COPY, out[1]); out[2] = tmp + } else + out[2] = NULL + + # Open nreject pixel list file if given. + if (nrmask[1] != EOS) { + tmp = ic_pmmap (nrmask, NEW_COPY, out[1]); out[5] = tmp + } else + out[5] = NULL + + # Open exposure mask if given. + if (emask[1] != EOS) { + tmp = ic_pmmap (emask, NEW_COPY, out[1]); out[6] = tmp + } else + out[6] = NULL + + # Open the sigma image if given. + if (sigma[1] != EOS) { + tmp = immap (sigma, NEW_COPY, out[1]); out[3] = tmp + IM_PIXTYPE(out[3]) = ty_max (TY_REAL, IM_PIXTYPE(out[1])) + call sprintf (IM_TITLE(out[3]), SZ_IMTITLE, + "Combine sigma images for %s") + call pargstr (output) + } else + out[3] = NULL + + # Open masks. + call ic_mopen (Memi[in], out, nimages, Memi[offsets], + min(retry,1)) + + # Open the log file. + logfd = NULL + if (logfile[1] != EOS) { + iferr (logfd = open (logfile, APPEND, TEXT_FILE)) { + logfd = NULL + call erract (EA_WARN) + } + } + + if (bufsize == 0) { + # Set initial IMIO buffer size based on the number of images + # and maximum amount of working memory available. The buffer + # size may be adjusted later if the task runs out of memory. + # The FUDGE factor is used to allow for the size of the + # program, memory allocator inefficiencies, and any other + # memory requirements besides IMIO. + + iferr (maxmemory = envgeti ("imcombine_maxmemory")) + maxmemory = MAXMEMORY + memory = begmem (0, oldsize, maxsize) + memory = min (memory, maxsize, maxmemory) + bufsize = FUDGE * memory / (nimages + 1) / sizeof (intype) + } + + # Combine the images. If an out of memory error occurs close all + # images and files, divide the IMIO buffer size in half and try + # again. + + switch (ty_max (intype, IM_PIXTYPE(out[1]))) { + case TY_SHORT: + call icombines (Memi[in], out, scales, zeros, + wts, Memi[offsets], nimages, bufsize) + case TY_USHORT, TY_INT, TY_LONG: + call icombinei (Memi[in], out, scales, zeros, + wts, Memi[offsets], nimages, bufsize) + case TY_DOUBLE: + call icombined (Memi[in], out, scales, zeros, + wts, Memi[offsets], nimages, bufsize) + case TY_COMPLEX: + call error (1, "Complex images not allowed") + default: + call icombiner (Memi[in], out, scales, zeros, + wts, Memi[offsets], nimages, bufsize) + } + } then { + err = errget (errstr, SZ_LINE) + if (err == SYS_IKIOPIX && nimages < 250) + err = SYS_MFULL + call ic_mclose (nimages) + if (!project) { + do j = 2, nimages { + if (Memi[in+j-1] != NULL) + call xt_imunmap (Memi[in+j-1], j) + } + } + if (out[2] != NULL) { + iferr (call imunmap (out[2])) + ; + iferr (call imdelete (bmask)) + ; + } + if (out[3] != NULL) { + iferr (call imunmap (out[3])) + ; + iferr (call imdelete (sigma)) + ; + } + if (out[4] != NULL) { + iferr (call imunmap (out[4])) + ; + iferr (call imdelete (rmask)) + ; + } + if (out[5] != NULL) { + iferr (call imunmap (out[5])) + ; + iferr (call imdelete (nrmask)) + ; + } + if (out[6] != NULL) { + iferr (call imunmap (out[6])) + ; + iferr (call imdelete (emask)) + ; + } + if (out[1] != NULL) { + iferr (call imunmap (out[1])) + ; + iferr (call imdelete (output)) + ; + } + if (Memi[in] != NULL) + call xt_imunmap (Memi[in], 1) + if (in1 != NULL) + call imunmap (in1) + if (logfd != NULL) + call close (logfd) + + switch (err) { + case SYS_MFULL: + if (project) + goto err_ + + if (bufsize < 10000 && retry > 2) { + call strcat ("- Maybe min_lenuserarea is too large", + errstr, SZ_LINE) + goto err_ + } + + bufsize = bufsize / 2 + retry = retry + 1 + call sfree (sp) + goto retry_ + case SYS_FTOOMANYFILES, SYS_IKIOPEN, SYS_IKIOPIX, SYS_FOPEN, SYS_FWTNOACC: + if (project) + goto err_ + stack1 = YES + call sfree (sp) + goto retry_ + default: +err_ + if (stack1 == YES) { + iferr (call imdelete (input)) + ; + if (Memc[bpmstack] != EOS) { + iferr (call imdelete (Memc[bpmstack])) + ; + } + } + call fixmem (oldsize) + while (imtgetim (list, input, SZ_FNAME)!=EOF) + ; + call sfree (sp) + call error (err, errstr) + } + } + + # Unmap all the images, close the log file, and restore memory. + if (out[2] != NULL) + iferr (call imunmap (out[2])) + call erract (EA_WARN) + if (out[3] != NULL) + iferr (call imunmap (out[3])) + call erract (EA_WARN) + if (out[4] != NULL) { + # Close the output first so that there is no confusion with + # inheriting the output header. Then update the WCS for the + # extra dimension. Note that this may not be correct with + # axis reduced WCS. + iferr { + call imunmap (out[4]) + out[4] = immap (rmask, READ_WRITE, 0) + i = IM_NDIM(out[4]) + call imaddi (out[4], "WCSDIM", i) + call sprintf (errstr, SZ_LINE, "LTM%d_%d") + call pargi (i) + call pargi (i) + call imaddr (out[4], errstr, 1.) + call sprintf (errstr, SZ_LINE, "CD%d_%d") + call pargi (i) + call pargi (i) + call imaddr (out[4], errstr, 1.) + call imunmap (out[4]) + } then + call erract (EA_WARN) + } + if (out[5] != NULL) + iferr (call imunmap (out[5])) + call erract (EA_WARN) + if (out[6] != NULL) + iferr (call imunmap (out[6])) + call erract (EA_WARN) + if (out[1] != NULL) { + call imunmap (out[1]) + if (headers[1] != EOS) { + # Write input headers to a multiextension file if desired. + # This might be the same as the output image. + iferr { + do i = 1, nimages { + im = Memi[in+i-1] + call imstats (im, IM_IMAGENAME, input, SZ_FNAME) + if (strmatch (headers, ".fits$") == 0) { + call sprintf (errstr, SZ_LINE, "%s.fits[append]") + call pargstr (headers) + } else { + call sprintf (errstr, SZ_LINE, "%s[append]") + call pargstr (headers) + } + tmp = immap (errstr, NEW_COPY, im) + IM_NDIM(tmp) = 0 + do j = 1, IM_NDIM(im) { + call sprintf (errstr, SZ_LINE, "AXLEN%d") + call pargi (j) + call imaddi (tmp, errstr, IM_LEN(im,j)) + } + call imastr (tmp, "INIMAGE", input) + call imastr (tmp, "OUTIMAGE", output) + call imastr (tmp, "EXTNAME", input) + call imunmap (tmp) + } + if (logfd != NULL) { + call eprintf (" Headers = %s\n") + call pargstr (headers) + } + } then + call erract (EA_WARN) + } + } + if (!project) { + do i = 2, nimages { + if (Memi[in+i-1] != NULL) + call xt_imunmap (Memi[in+i-1], i) + } + } + if (Memi[in] != NULL) + call xt_imunmap (Memi[in], 1) + if (in1 != NULL) + call imunmap (in1) + if (stack1 == YES) { + call imdelete (input) + if (Memc[bpmstack] != EOS) + call imdelete (Memc[bpmstack]) + project = proj + } + if (logfd != NULL) + call close (logfd) + call ic_mclose (nimages) + call fixmem (oldsize) + call sfree (sp) +end diff --git a/pkg/images/immatch/src/imcombine/src/icpclip.gx b/pkg/images/immatch/src/imcombine/src/icpclip.gx new file mode 100644 index 00000000..628dca0d --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icpclip.gx @@ -0,0 +1,233 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +define MINCLIP 3 # Minimum number for clipping + +$for (sird) +# IC_PCLIP -- Percentile clip +# +# 1) Find the median +# 2) Find the pixel which is the specified order index away +# 3) Use the data value difference as a sigma and apply clipping +# 4) Since the median is known return it so it does not have to be recomputed + +procedure ic_pclip$t (d, m, n, nimages, npts, median) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image id pointers +int n[npts] # Number of good pixels +int nimages # Number of input images +int npts # Number of output points per line +$if (datatype == sil) +real median[npts] # Median +$else +PIXEL median[npts] # Median +$endif + +int i, j, k, l, id, n1, n2, n3, n4, n5, nl, nh, nin, maxkeep +bool even, fp_equalr() +real sigma, r, s, t +pointer sp, resid, mp1, mp2 +$if (datatype == sil) +real med +$else +PIXEL med +$endif + +include "../icombine.com" + +begin + # There must be at least MINCLIP and more than nkeep pixels. + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + + # Set sign of pclip parameter + if (pclip < 0) + t = -1. + else + t = 1. + + # If there are no rejected pixels compute certain parameters once. + if (dflag == D_ALL) { + n1 = max (0, n[1]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0.) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + nin = n1 + } + + # Now apply clipping. + do i = 1, npts { + # Compute median. + if (dflag == D_MIX) { + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + if (n1 == 0) { + if (combine == MEDIAN) + median[i] = blank + next + } + n2 = 1 + n1 / 2 + even = (mod (n1, 2) == 0) + if (pclip < 0) { + if (even) + n3 = max (1, nint (n2 - 1 + pclip)) + else + n3 = max (1, nint (n2 + pclip)) + } else + n3 = min (n1, nint (n2 + pclip)) + } + + j = i - 1 + if (even) { + med = Mem$t[d[n2-1]+j] + med = (med + Mem$t[d[n2]+j]) / 2. + } else + med = Mem$t[d[n2]+j] + + if (n1 < max (MINCLIP, maxkeep+1)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Define sigma for clipping + sigma = t * (Mem$t[d[n3]+j] - med) + if (fp_equalr (sigma, 0.)) { + if (combine == MEDIAN) + median[i] = med + next + } + + # Reject pixels and save residuals. + # Check if any pixels are clipped. + # If so recompute the median and reset the number of good pixels. + # Only reorder if needed. + + for (nl=1; nl<=n1; nl=nl+1) { + r = (med - Mem$t[d[nl]+j]) / sigma + if (r < lsigma) + break + Memr[resid+nl] = r + } + for (nh=n1; nh>=1; nh=nh-1) { + r = (Mem$t[d[nh]+j] - med) / sigma + if (r < hsigma) + break + Memr[resid+nh] = r + } + n4 = nh - nl + 1 + + # If too many pixels are rejected add some back in. + # All pixels with the same residual are added. + while (n4 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n4 = nh - nl + 1 + } + + # If any pixels are rejected recompute the median. + if (nl > 1 || nh < n1) { + n5 = nl + n4 / 2 + if (mod (n4, 2) == 0) { + med = Mem$t[d[n5-1]+j] + med = (med + Mem$t[d[n5]+j]) / 2. + } else + med = Mem$t[d[n5]+j] + n[i] = n4 + } + if (combine == MEDIAN) + median[i] = med + + # Reorder if pixels only if necessary. + if (nl > 1 && (combine != MEDIAN || grow >= 1.)) { + k = max (nl, n4 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Mem$t[d[l]+j] = Mem$t[d[k]+j] + if (grow >= 1.) { + mp1 = m[l] + j + mp2 = m[k] + j + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+j] = Memi[m[k]+j] + k = k + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Mem$t[d[l]+j] = Mem$t[d[k]+j] + k = k + 1 + } + } + } + } + + # Check if data flag needs to be reset for rejected pixels. + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag whether the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icpmmap.x b/pkg/images/immatch/src/imcombine/src/icpmmap.x new file mode 100644 index 00000000..1afeedd7 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icpmmap.x @@ -0,0 +1,34 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <pmset.h> + + +# IC_PMMAP -- Map pixel mask. + +pointer procedure ic_pmmap (fname, mode, refim) + +char fname[ARB] # Mask name +int mode # Image mode +pointer refim # Reference image +pointer pm # IMIO pointer (returned) + +int i, fnextn() +pointer sp, extn, immap() +bool streq() + +begin + call smark (sp) + call salloc (extn, SZ_FNAME, TY_CHAR) + + i = fnextn (fname, Memc[extn], SZ_FNAME) + if (streq (Memc[extn], "pl")) + pm = immap (fname, mode, refim) + else { + call strcpy (fname, Memc[extn], SZ_FNAME) + call strcat (".pl", Memc[extn], SZ_FNAME) + pm = immap (Memc[extn], mode, refim) + } + + call sfree (sp) + return (pm) +end diff --git a/pkg/images/immatch/src/imcombine/src/icquad.gx b/pkg/images/immatch/src/imcombine/src/icquad.gx new file mode 100644 index 00000000..4ecf3aa0 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icquad.gx @@ -0,0 +1,133 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <mach.h> +include "../icombine.h" +include "../icmask.h" + +$for (sird) +# IC_QUAD -- Compute the quadrature average (or summed) image line. +# Options include a weighted average/sum. + +procedure ic_quad$t (d, m, n, wts, nimages, npts, doblank, doaverage, + average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image ID pointers +int n[npts] # Number of points +real wts[nimages] # Weights +int nimages # Number of images +int npts # Number of output points per line +int doblank # Set blank values? +int doaverage # Do average? +$if (datatype == sil) +real average[npts] # Average (returned) +$else +PIXEL average[npts] # Average (returned) +$endif + +int i, j, k, n1 +real val, wt, sumwt +$if (datatype == sil) +real sum +$else +PIXEL sum +$endif + +include "../icombine.com" + +begin + # If no data has been excluded do the average/sum without checking + # the number of points and using the fact that the weights are + # normalized. If all the data has been excluded set the average/sum + # to the blank value if requested. + + if (dflag == D_ALL) { + if (dowts && doaverage == YES) { + do i = 1, npts { + k = i - 1 + val = Mem$t[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + do j = 2, n[i] { + val = Mem$t[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val * wt) ** 2 + } + average[i] = sqrt(sum) + } + } else { + do i = 1, npts { + k = i - 1 + val = Mem$t[d[1]+k] + sum = val**2 + do j = 2, n[i] { + val = Mem$t[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n[i] + else + average[i] = sqrt(sum) + } + } + } else if (dflag == D_NONE) { + if (doblank == YES) { + do i = 1, npts + average[i] = blank + } + } else { + if (dowts && doaverage == YES) { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Mem$t[d[1]+k] + wt = wts[Memi[m[1]+k]] + sum = (val * wt) ** 2 + sumwt = wt + do j = 2, n1 { + val = Mem$t[d[j]+k] + wt = wts[Memi[m[j]+k]] + sum = sum + (val* wt) ** 2 + sumwt = sumwt + wt + } + if (doaverage == YES) { + if (sumwt > 0) + average[i] = sqrt(sum) / sumwt + else { + val = Mem$t[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Mem$t[d[j]+k] + sum = sum + val**2 + } + average[i] = sqrt(sum) / n1 + } + } else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } else { + do i = 1, npts { + n1 = abs(n[i]) + if (n1 > 0) { + k = i - 1 + val = Mem$t[d[1]+k] + sum = val**2 + do j = 2, n1 { + val = Mem$t[d[j]+k] + sum = sum + val**2 + } + if (doaverage == YES) + average[i] = sqrt(sum) / n1 + else + average[i] = sqrt(sum) + } else if (doblank == YES) + average[i] = blank + } + } + } +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icrmasks.x b/pkg/images/immatch/src/imcombine/src/icrmasks.x new file mode 100644 index 00000000..8b9a0c3d --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icrmasks.x @@ -0,0 +1,41 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> + + +# IC_RMASKS -- Set pixels for rejection mask. + +procedure ic_rmasks (pm, v, id, nimages, n, npts) + +pointer pm #I Pixel mask +long v[ARB] #I Output vector (input) +pointer id[nimages] #I Image id pointers +int nimages #I Number of images +int n[npts] #I Number of good pixels +int npts #I Number of output points per line + +int i, j, k, ndim, impnls() +long v1[IM_MAXDIM] +pointer buf + +begin + ndim = IM_NDIM(pm) + do k = 1, nimages { + call amovl (v, v1, ndim-1) + v1[ndim] = k + i = impnls (pm, buf, v1) + do j = 1, npts { + if (n[j] == nimages) + Mems[buf+j-1] = 0 + else { + Mems[buf+j-1] = 1 + do i = 1, n[j] { + if (Memi[id[i]+j-1] == k) { + Mems[buf+j-1] = 0 + break + } + } + } + } + } +end diff --git a/pkg/images/immatch/src/imcombine/src/icscale.x b/pkg/images/immatch/src/imcombine/src/icscale.x new file mode 100644 index 00000000..42d62f8d --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icscale.x @@ -0,0 +1,351 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include <imset.h> +include "icombine.h" + + +# IC_SCALE -- Get and set the scaling factors. +# +# If the scaling parameters have been set earlier then this routine +# just normalizes the factors and writes the log output. +# When dealing with individual images using image statistics for scaling +# factors this routine determines the image statistics rather than being +# done earlier since the input images have all been mapped at this stage. + +procedure ic_scale (in, out, offsets, scales, zeros, wts, nimages) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +int offsets[nimages,ARB] # Image offsets +real scales[nimages] # Scale factors +real zeros[nimages] # Zero or sky levels +real wts[nimages] # Weights +int nimages # Number of images + +int stype, ztype, wtype +int i, j, k, l, nout +real mode, median, mean, sumwts +pointer sp, ncombine, exptime, modes, medians, means +pointer section, str, sname, zname, wname, im, imref +bool domode, domedian, domean, dozero, dos, doz, dow, snorm, znorm, wflag + +int imgeti(), strdic(), ic_gscale() +real imgetr(), asumr(), asumi() +pointer xt_opix() +errchk ic_gscale, xt_opix, ic_statr + +include "icombine.com" + +begin + call smark (sp) + call salloc (ncombine, nimages, TY_INT) + call salloc (exptime, nimages, TY_REAL) + call salloc (modes, nimages, TY_REAL) + call salloc (medians, nimages, TY_REAL) + call salloc (means, nimages, TY_REAL) + call salloc (section, SZ_LINE, TY_CHAR) + call salloc (str, SZ_LINE, TY_CHAR) + call salloc (sname, SZ_FNAME, TY_CHAR) + call salloc (zname, SZ_FNAME, TY_CHAR) + call salloc (wname, SZ_FNAME, TY_CHAR) + + # Get the number of images previously combined and the exposure times. + # The default combine number is 1 and the default exposure is 0. + + do i = 1, nimages { + iferr (Memi[ncombine+i-1] = imgeti (in[i], "ncombine")) + Memi[ncombine+i-1] = 1 + if (Memc[expkeyword] != EOS) { + iferr (Memr[exptime+i-1] = imgetr (in[i], Memc[expkeyword])) + Memr[exptime+i-1] = 0. + } else + Memr[exptime+i-1] = 0. + if (project) { + call amovki (Memi[ncombine], Memi[ncombine], nimages) + call amovkr (Memr[exptime], Memr[exptime], nimages) + break + } + } + + # Set scaling type and factors. + stype = ic_gscale ("scale", Memc[sname], STYPES, in, Memr[exptime], + scales, nimages) + ztype = ic_gscale ("zero", Memc[zname], ZTYPES, in, Memr[exptime], + zeros, nimages) + wtype = ic_gscale ("weight", Memc[wname], WTYPES, in, Memr[exptime], + wts, nimages) + + # Get image statistics if needed. + dos = ((stype==S_MODE)||(stype==S_MEDIAN)||(stype==S_MEAN)) + doz = ((ztype==S_MODE)||(ztype==S_MEDIAN)||(ztype==S_MEAN)) + dow = ((wtype==S_MODE)||(wtype==S_MEDIAN)||(wtype==S_MEAN)) + if (dos) { + dos = false + do i = 1, nimages + if (IS_INDEFR(scales[i])) { + dos = true + break + } + } + if (doz) { + doz = false + do i = 1, nimages + if (IS_INDEFR(zeros[i])) { + doz = true + break + } + } + if (dow) { + dow = false + do i = 1, nimages + if (IS_INDEFR(wts[i])) { + dow = true + break + } + } + + if (dos || doz || dow) { + domode = ((stype==S_MODE)||(ztype==S_MODE)||(wtype==S_MODE)) + domedian = ((stype==S_MEDIAN)||(ztype==S_MEDIAN)||(wtype==S_MEDIAN)) + domean = ((stype==S_MEAN)||(ztype==S_MEAN)||(wtype==S_MEAN)) + + Memc[section] = EOS + Memc[str] = EOS + call sscan (Memc[statsec]) + call gargwrd (Memc[section], SZ_FNAME) + call gargwrd (Memc[str], SZ_LINE) + + i = strdic (Memc[section], Memc[section], SZ_FNAME, S_SECTION) + switch (i) { + case S_INPUT: + call strcpy (Memc[str], Memc[section], SZ_FNAME) + imref = NULL + case S_OUTPUT: + call strcpy (Memc[str], Memc[section], SZ_FNAME) + imref = out[1] + case S_OVERLAP: + call strcpy ("[", Memc[section], SZ_FNAME) + do i = 1, IM_NDIM(out[1]) { + k = offsets[1,i] + 1 + l = offsets[1,i] + IM_LEN(in[1],i) + do j = 2, nimages { + k = max (k, offsets[j,i]+1) + l = min (l, offsets[j,i]+IM_LEN(in[j],i)) + } + if (i < IM_NDIM(out[1])) + call sprintf (Memc[str], SZ_LINE, "%d:%d,") + else + call sprintf (Memc[str], SZ_LINE, "%d:%d]") + call pargi (k) + call pargi (l) + call strcat (Memc[str], Memc[section], SZ_FNAME) + } + imref = out[1] + default: + imref = NULL + } + + do i = 1, nimages { + im = xt_opix (in[i], i, 0) + if (imref != out[1]) + imref = im + if ((dos && IS_INDEFR(scales[i])) || + (doz && IS_INDEFR(zeros[i])) || + (dow && IS_INDEFR(wts[i]))) { + call ic_statr (im, imref, Memc[section], offsets, i, + nimages, domode, domedian, domean, mode, median, mean) + if (domode) { + if (stype == S_MODE && IS_INDEFR(scales[i])) + scales[i] = mode + if (ztype == S_MODE && IS_INDEFR(zeros[i])) + zeros[i] = mode + if (wtype == S_MODE && IS_INDEFR(wts[i])) + wts[i] = mode + } + if (domedian) { + if (stype == S_MEDIAN && IS_INDEFR(scales[i])) + scales[i] = median + if (ztype == S_MEDIAN && IS_INDEFR(zeros[i])) + zeros[i] = median + if (wtype == S_MEDIAN && IS_INDEFR(wts[i])) + wts[i] = median + } + if (domean) { + if (stype == S_MEAN && IS_INDEFR(scales[i])) + scales[i] = mean + if (ztype == S_MEAN && IS_INDEFR(zeros[i])) + zeros[i] = mean + if (wtype == S_MEAN && IS_INDEFR(wts[i])) + wts[i] = mean + } + } + } + } + + # Save the image statistics if computed. + call amovkr (INDEFR, Memr[modes], nimages) + call amovkr (INDEFR, Memr[medians], nimages) + call amovkr (INDEFR, Memr[means], nimages) + if (stype == S_MODE) + call amovr (scales, Memr[modes], nimages) + if (stype == S_MEDIAN) + call amovr (scales, Memr[medians], nimages) + if (stype == S_MEAN) + call amovr (scales, Memr[means], nimages) + if (ztype == S_MODE) + call amovr (zeros, Memr[modes], nimages) + if (ztype == S_MEDIAN) + call amovr (zeros, Memr[medians], nimages) + if (ztype == S_MEAN) + call amovr (zeros, Memr[means], nimages) + if (wtype == S_MODE) + call amovr (wts, Memr[modes], nimages) + if (wtype == S_MEDIAN) + call amovr (wts, Memr[medians], nimages) + if (wtype == S_MEAN) + call amovr (wts, Memr[means], nimages) + + # If nothing else has set the scaling factors set them to defaults. + do i = 1, nimages { + if (IS_INDEFR(scales[i])) + scales[i] = 1. + if (IS_INDEFR(zeros[i])) + zeros[i] = 0. + if (IS_INDEFR(wts[i])) + wts[i] = 1. + } + + do i = 1, nimages + if (scales[i] <= 0.) { + call eprintf ("WARNING: Negative scale factors") + call eprintf (" -- ignoring scaling\n") + call amovkr (1., scales, nimages) + break + } + + # Convert to factors relative to the first image. + snorm = (stype == S_FILE || stype == S_KEYWORD) + znorm = (ztype == S_FILE || ztype == S_KEYWORD) + wflag = (wtype == S_FILE || wtype == S_KEYWORD) + if (snorm) + call arcpr (1., scales, scales, nimages) + mean = scales[1] + call adivkr (scales, mean, scales, nimages) + call adivr (zeros, scales, zeros, nimages) + + if (wtype != S_NONE) { + do i = 1, nimages { + if (wts[i] < 0.) { + call eprintf ("WARNING: Negative weights") + call eprintf (" -- using only NCOMBINE weights\n") + do j = 1, nimages + wts[j] = Memi[ncombine+j-1] + break + } + if (ztype == S_NONE || znorm || wflag) + wts[i] = Memi[ncombine+i-1] * wts[i] + else { + if (zeros[i] <= 0.) { + call eprintf ("WARNING: Negative zero offsets") + call eprintf (" -- ignoring zero weight adjustments\n") + do j = 1, nimages + wts[j] = Memi[ncombine+j-1] * wts[j] + break + } + wts[i] = Memi[ncombine+i-1] * wts[i] * zeros[1] / zeros[i] + } + } + } + + if (znorm) + call anegr (zeros, zeros, nimages) + else { + # Because of finite arithmetic it is possible for the zero offsets + # to be nonzero even when they are all equal. Just for the sake of + # a nice log set the zero offsets in this case. + + mean = zeros[1] + call asubkr (zeros, mean, zeros, nimages) + for (i=2; (i<=nimages)&&(zeros[i]==zeros[1]); i=i+1) + ; + if (i > nimages) + call aclrr (zeros, nimages) + } + mean = asumr (wts, nimages) + if (mean > 0.) + call adivkr (wts, mean, wts, nimages) + else { + call eprintf ("WARNING: Mean weight is zero -- using no weights\n") + call amovkr (1., wts, nimages) + mean = 1. + } + + # Set flags for scaling, zero offsets, sigma scaling, weights. + # Sigma scaling may be suppressed if the scales or zeros are + # different by a specified tolerance. + + doscale = false + dozero = false + doscale1 = false + dowts = false + do i = 2, nimages { + if (snorm || scales[i] != scales[1]) + doscale = true + if (znorm || zeros[i] != zeros[1]) + dozero = true + if (wts[i] != wts[1]) + dowts = true + } + if (doscale && sigscale != 0.) { + do i = 1, nimages { + if (abs (scales[i] - 1) > sigscale) { + doscale1 = true + break + } + } + } + + # Set the output header parameters. + nout = asumi (Memi[ncombine], nimages) + call imaddi (out[1], "ncombine", nout) + mean = 0. + sumwts = 0. + do i = 1, nimages { + ifnoerr (mode = imgetr (in[i], "ccdmean")) { + mean = mean + wts[i] * mode / scales[i] + sumwts = sumwts + wts[i] + } + } + if (sumwts > 0.) { + mean = mean / sumwts + ifnoerr (mode = imgetr (out[1], "ccdmean")) { + call imaddr (out[1], "ccdmean", mean) + iferr (call imdelf (out[1], "ccdmeant")) + ; + } + } + if (out[2] != NULL) { + call imstats (out[2], IM_IMAGENAME, Memc[str], SZ_FNAME) + call imastr (out[1], "BPM", Memc[str]) + } + + # Start the log here since much of the info is only available here. + if (verbose) { + i = logfd + logfd = STDOUT + call ic_log (in, out, Memi[ncombine], Memr[exptime], Memc[sname], + Memc[zname], Memc[wname], Memr[modes], Memr[medians], + Memr[means], scales, zeros, wts, offsets, nimages, dozero, + nout) + + logfd = i + } + call ic_log (in, out, Memi[ncombine], Memr[exptime], Memc[sname], + Memc[zname], Memc[wname], Memr[modes], Memr[medians], Memr[means], + scales, zeros, wts, offsets, nimages, dozero, nout) + + doscale = (doscale || dozero) + + call sfree (sp) +end diff --git a/pkg/images/immatch/src/imcombine/src/icsclip.gx b/pkg/images/immatch/src/imcombine/src/icsclip.gx new file mode 100644 index 00000000..e4d8f027 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icsclip.gx @@ -0,0 +1,504 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include "../icombine.h" + +define MINCLIP 3 # Mininum number of images for algorithm + +$for (sird) +# IC_ASIGCLIP -- Reject pixels using sigma clipping about the average +# The initial average rejects the high and low pixels. A correction for +# different scalings of the images may be made. Weights are not used. + +procedure ic_asigclip$t (d, m, n, scales, zeros, nimages, npts, average) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +$if (datatype == sil) +real average[npts] # Average +$else +PIXEL average[npts] # Average +$endif + +int i, j, k, l, jj, n1, n2, nin, nk, maxkeep +$if (datatype == sil) +real d1, low, high, sum, a, s, r, one +data one /1.0/ +$else +PIXEL d1, low, high, sum, a, s, r, one +data one /1$f/ +$endif +pointer sp, resid, w, wp, dp1, dp2, mp1, mp2 + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Flag whether returned average needs to be recomputed. + if (dowts || combine != AVERAGE) + docombine = true + else + docombine = false + + # Save the residuals and the sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Do sigma clipping. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + + # If there are not enough pixels simply compute the average. + if (n1 < max (3, maxkeep)) { + if (!docombine) { + if (n1 == 0) + average[i] = blank + else { + sum = Mem$t[d[1]+k] + do j = 2, n1 + sum = sum + Mem$t[d[j]+k] + average[i] = sum / n1 + } + } + next + } + + # Compute average with the high and low rejected. + low = Mem$t[d[1]+k] + high = Mem$t[d[2]+k] + if (low > high) { + d1 = low + low = high + high = d1 + } + sum = 0. + do j = 3, n1 { + d1 = Mem$t[d[j]+k] + if (d1 < low) { + sum = sum + low + low = d1 + } else if (d1 > high) { + sum = sum + high + high = d1 + } else + sum = sum + d1 + } + a = sum / (n1 - 2) + sum = sum + low + high + + # Iteratively reject pixels and compute the final average if needed. + # Compact the data and keep track of the image IDs if needed. + + repeat { + n2 = n1 + if (doscale1) { + # Compute sigma corrected for scaling. + s = 0. + wp = w - 1 + do j = 1, n1 { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Mem$t[dp1] + l = Memi[mp1] + r = sqrt (max (one, (a + zeros[l]) / scales[l])) + s = s + ((d1 - a) / r) ** 2 + Memr[wp] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + wp = w - 1 + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + wp = wp + 1 + + d1 = Mem$t[dp1] + r = (d1 - a) / (s * Memr[wp]) + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + Memr[wp] = Memr[w+n1-1] + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } else { + # Compute the sigma without scale correction. + s = 0. + do j = 1, n1 + s = s + (Mem$t[d[j]+k] - a) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels. Save the residuals and data values. + if (s > 0.) { + for (j=1; j<=n1; j=j+1) { + dp1 = d[j] + k + d1 = Mem$t[dp1] + r = (d1 - a) / s + if (r < -lsigma || r > hsigma) { + Memr[resid+n1] = abs (r) + if (j < n1) { + dp2 = d[n1] + k + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[n1] + k + l = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = l + } + j = j - 1 + } + sum = sum - d1 + n1 = n1 - 1 + } + } + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } until (n1 == n2 || n1 <= max (2, maxkeep)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + if (n1 < maxkeep) { + nk = maxkeep + if (doscale1) { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + mp1 = m[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mem$t[dp1] + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + sum = sum + Mem$t[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } else { + for (j=n1+1; j<=nk; j=j+1) { + dp1 = d[j] + k + r = Memr[resid+j] + jj = 0 + do l = j+1, n2 { + s = Memr[resid+l] + if (s < r + TOL) { + if (s > r - TOL) + jj = jj + 1 + else { + jj = 0 + Memr[resid+l] = r + r = s + dp2 = d[l] + k + d1 = Mem$t[dp1] + Mem$t[dp1] = Mem$t[dp2] + Mem$t[dp2] = d1 + if (keepids) { + mp1 = m[j] + k + mp2 = m[l] + k + s = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = s + } + } + } + } + sum = sum + Mem$t[dp1] + n1 = n1 + 1 + nk = max (nk, j+jj) + } + } + + # Recompute the average. + if (n1 > 1) + a = sum / n1 + } + + # Save the average if needed. + n[i] = n1 + if (!docombine) { + if (n1 > 0) + average[i] = a + else + average[i] = blank + } + } + + # Check if the data flag has to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + call sfree (sp) +end + + +# IC_MSIGCLIP -- Reject pixels using sigma clipping about the median + +procedure ic_msigclip$t (d, m, n, scales, zeros, nimages, npts, median) + +pointer d[nimages] # Data pointers +pointer m[nimages] # Image id pointers +int n[npts] # Number of good pixels +real scales[nimages] # Scales +real zeros[nimages] # Zeros +int nimages # Number of images +int npts # Number of output points per line +$if (datatype == sil) +real median[npts] # Median +$else +PIXEL median[npts] # Median +$endif + +int i, j, k, l, id, n1, n2, n3, nl, nh, nin, maxkeep +real r, s +pointer sp, resid, w, mp1, mp2 +$if (datatype == sil) +real med, one +data one /1.0/ +$else +PIXEL med, one +data one /1$f/ +$endif + +include "../icombine.com" + +begin + # If there are insufficient pixels go on to the combining + if (nkeep < 0) + maxkeep = max (0, nimages + nkeep) + else + maxkeep = min (nimages, nkeep) + if (nimages < max (MINCLIP, maxkeep+1) || dflag == D_NONE) { + docombine = true + return + } + + # Save the residuals and sigma scaling corrections if needed. + call smark (sp) + call salloc (resid, nimages+1, TY_REAL) + if (doscale1) + call salloc (w, nimages, TY_REAL) + + # Compute median and sigma and iteratively clip. + nin = max (0, n[1]) + do i = 1, npts { + k = i - 1 + n1 = max (0, n[i]) + if (nkeep < 0) + maxkeep = max (0, n1 + nkeep) + else + maxkeep = min (n1, nkeep) + nl = 1 + nh = n1 + + repeat { + n2 = n1 + n3 = nl + n1 / 2 + + if (n1 == 0) + med = blank + else if (mod (n1, 2) == 0) + med = (Mem$t[d[n3-1]+k] + Mem$t[d[n3]+k]) / 2. + else + med = Mem$t[d[n3]+k] + + if (n1 >= max (MINCLIP, maxkeep+1)) { + if (doscale1) { + # Compute the sigma with scaling correction. + s = 0. + do j = nl, nh { + l = Memi[m[j]+k] + r = sqrt (max (one, (med + zeros[l]) / scales[l])) + s = s + ((Mem$t[d[j]+k] - med) / r) ** 2 + Memr[w+j-1] = r + } + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Mem$t[d[nl]+k]) / (s * Memr[w+nl-1]) + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Mem$t[d[nh]+k] - med) / (s * Memr[w+nh-1]) + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } else { + # Compute the sigma without scaling correction. + s = 0. + do j = nl, nh + s = s + (Mem$t[d[j]+k] - med) ** 2 + s = sqrt (s / (n1 - 1)) + + # Reject pixels and save the residuals. + if (s > 0.) { + for (; nl <= nh; nl = nl + 1) { + r = (med - Mem$t[d[nl]+k]) / s + if (r <= lsigma) + break + Memr[resid+nl] = r + n1 = n1 - 1 + } + for (; nh >= nl; nh = nh - 1) { + r = (Mem$t[d[nh]+k] - med) / s + if (r <= hsigma) + break + Memr[resid+nh] = r + n1 = n1 - 1 + } + } + } + } + } until (n1 == n2 || n1 < max (MINCLIP, maxkeep+1)) + + # If too many pixels are rejected add some back. + # All pixels with equal residuals are added back. + while (n1 < maxkeep) { + if (nl == 1) + nh = nh + 1 + else if (nh == max (0, n[i])) + nl = nl - 1 + else { + r = Memr[resid+nl-1] + s = Memr[resid+nh+1] + if (r < s) { + nl = nl - 1 + r = r + TOL + if (s <= r) + nh = nh + 1 + if (nl > 1) { + if (Memr[resid+nl-1] <= r) + nl = nl - 1 + } + } else { + nh = nh + 1 + s = s + TOL + if (r <= s) + nl = nl - 1 + if (nh < n2) { + if (Memr[resid+nh+1] <= s) + nh = nh + 1 + } + } + } + n1 = nh - nl + 1 + } + + # Only set median and reorder if needed + n[i] = n1 + if (n1 > 0 && nl > 1 && (combine != MEDIAN || grow >= 1.)) { + j = max (nl, n1 + 1) + if (keepids) { + do l = 1, min (n1, nl-1) { + Mem$t[d[l]+k] = Mem$t[d[j]+k] + if (grow >= 1.) { + mp1 = m[l] + k + mp2 = m[j] + k + id = Memi[mp1] + Memi[mp1] = Memi[mp2] + Memi[mp2] = id + } else + Memi[m[l]+k] = Memi[m[j]+k] + j = j + 1 + } + } else { + do l = 1, min (n1, nl - 1) { + Mem$t[d[l]+k] = Mem$t[d[j]+k] + j = j + 1 + } + } + } + + if (combine == MEDIAN) + median[i] = med + } + + # Check if data flag needs to be reset for rejected pixels + if (dflag == D_ALL) { + do i = 1, npts { + if (max (0, n[i]) != nin) { + dflag = D_MIX + break + } + } + } + + # Flag that the median has been computed. + if (combine == MEDIAN) + docombine = false + else + docombine = true + + call sfree (sp) +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icsection.x b/pkg/images/immatch/src/imcombine/src/icsection.x new file mode 100644 index 00000000..746c1f51 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icsection.x @@ -0,0 +1,94 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <ctype.h> + +# IC_SECTION -- Parse an image section into its elements. +# 1. The default values must be set by the caller. +# 2. A null image section is OK. +# 3. The first nonwhitespace character must be '['. +# 4. The last interpreted character must be ']'. +# +# This procedure should be replaced with an IMIO procedure at some +# point. + +procedure ic_section (section, x1, x2, xs, ndim) + +char section[ARB] # Image section +int x1[ndim] # Starting pixel +int x2[ndim] # Ending pixel +int xs[ndim] # Step +int ndim # Number of dimensions + +int i, ip, a, b, c, temp, ctoi() +define error_ 99 + +begin + # Decode the section string. + ip = 1 + while (IS_WHITE(section[ip])) + ip = ip + 1 + if (section[ip] == '[') + ip = ip + 1 + else if (section[ip] == EOS) + return + else + goto error_ + + do i = 1, ndim { + while (IS_WHITE(section[ip])) + ip = ip + 1 + if (section[ip] == ']') + break + + # Default values + a = x1[i] + b = x2[i] + c = xs[i] + + # Get a:b:c. Allow notation such as "-*:c" + # (or even "-:c") where the step is obviously negative. + + if (ctoi (section, ip, temp) > 0) { # a + a = temp + if (section[ip] == ':') { + ip = ip + 1 + if (ctoi (section, ip, b) == 0) # a:b + goto error_ + } else + b = a + } else if (section[ip] == '-') { # -* + temp = a + a = b + b = temp + ip = ip + 1 + if (section[ip] == '*') + ip = ip + 1 + } else if (section[ip] == '*') # * + ip = ip + 1 + if (section[ip] == ':') { # ..:step + ip = ip + 1 + if (ctoi (section, ip, c) == 0) + goto error_ + else if (c == 0) + goto error_ + } + if (a > b && c > 0) + c = -c + + x1[i] = a + x2[i] = b + xs[i] = c + + while (IS_WHITE(section[ip])) + ip = ip + 1 + if (section[ip] == ',') + ip = ip + 1 + } + + if (section[ip] != ']') + goto error_ + + return +error_ + call error (0, "Error in image section specification") +end diff --git a/pkg/images/immatch/src/imcombine/src/icsetout.x b/pkg/images/immatch/src/imcombine/src/icsetout.x new file mode 100644 index 00000000..efe55681 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icsetout.x @@ -0,0 +1,332 @@ +include <imhdr.h> +include <imset.h> +include <mwset.h> + +define OFFTYPES "|none|wcs|world|physical|grid|" +define FILE 0 +define NONE 1 +define WCS 2 +define WORLD 3 +define PHYSICAL 4 +define GRID 5 + +# IC_SETOUT -- Set output image size and offsets of input images. + +procedure ic_setout (in, out, offsets, nimages) + +pointer in[nimages] # Input images +pointer out[ARB] # Output images +int offsets[nimages,ARB] # Offsets +int nimages # Number of images + +int i, j, indim, outdim, mwdim, a, b, amin, bmax, fd, offtype, npix +real val +bool proj, reloff, flip, streq(), fp_equald() +pointer sp, str, fname +pointer ltv, lref, wref, cd, ltm, coord, shift, axno, axval, section +pointer mw, ct, mw_openim(), mw_sctran(), xt_immap() +int open(), fscan(), nscan(), mw_stati(), strlen(), strdic() +errchk mw_openim, mw_gwtermd, mw_gltermd, mw_gaxmap +errchk mw_sctran, mw_ctrand, open, xt_immap + +include "icombine.com" +define newscan_ 10 + +begin + call smark (sp) + call salloc (str, SZ_FNAME, TY_CHAR) + call salloc (fname, SZ_FNAME, TY_CHAR) + call salloc (ltv, IM_MAXDIM, TY_DOUBLE) + call salloc (ltm, IM_MAXDIM*IM_MAXDIM, TY_DOUBLE) + call salloc (lref, IM_MAXDIM, TY_DOUBLE) + call salloc (wref, IM_MAXDIM, TY_DOUBLE) + call salloc (cd, IM_MAXDIM*IM_MAXDIM, TY_DOUBLE) + call salloc (coord, IM_MAXDIM, TY_DOUBLE) + call salloc (shift, IM_MAXDIM, TY_REAL) + call salloc (axno, IM_MAXDIM, TY_INT) + call salloc (axval, IM_MAXDIM, TY_INT) + + # Check and set the image dimensionality. + indim = IM_NDIM(in[1]) + outdim = IM_NDIM(out[1]) + proj = (indim != outdim) + if (!proj) { + do i = 1, nimages + if (IM_NDIM(in[i]) != outdim) { + call sfree (sp) + call error (1, "Image dimensions are not the same") + } + } + + # Set the reference point to that of the first image. + mw = mw_openim (in[1]) + call mw_seti (mw, MW_USEAXMAP, NO) + mwdim = mw_stati (mw, MW_NPHYSDIM) + call mw_gwtermd (mw, Memd[lref], Memd[wref], Memd[cd], mwdim) + ct = mw_sctran (mw, "world", "logical", 0) + call mw_ctrand (ct, Memd[wref], Memd[lref], mwdim) + call mw_ctfree (ct) + if (proj) + Memd[lref+outdim] = 1 + + # Parse the user offset string. If "none" then there are no offsets. + # If "world" or "wcs" then set the offsets based on the world WCS. + # If "physical" then set the offsets based on the physical WCS. + # If "grid" then set the offsets based on the input grid parameters. + # If a file scan it. + + call clgstr ("offsets", Memc[fname], SZ_FNAME) + call sscan (Memc[fname]) + call gargwrd (Memc[fname], SZ_FNAME) + if (nscan() == 0) + offtype = NONE + else { + offtype = strdic (Memc[fname], Memc[str], SZ_FNAME, OFFTYPES) + if (offtype > 0 && !streq (Memc[fname], Memc[str])) + offtype = 0 + } + if (offtype == 0) + offtype = FILE + + switch (offtype) { + case NONE: + call aclri (offsets, outdim*nimages) + reloff = true + case WORLD, WCS: + do j = 1, outdim + offsets[1,j] = 0 + if (proj) { + ct = mw_sctran (mw, "world", "logical", 0) + do i = 2, nimages { + Memd[wref+outdim] = i + call mw_ctrand (ct, Memd[wref], Memd[coord], indim) + do j = 1, outdim + offsets[i,j] = nint (Memd[lref+j-1] - Memd[coord+j-1]) + } + call mw_ctfree (ct) + call mw_close (mw) + } else { + ct = mw_sctran (mw, "world", "logical", 0) + call mw_ctrand (ct, Memd[wref], Memd[lref], indim) + do i = 2, nimages { + call mw_close (mw) + mw = mw_openim (in[i]) + ct = mw_sctran (mw, "world", "logical", 0) + call mw_ctrand (ct, Memd[wref], Memd[coord], indim) + do j = 1, outdim + offsets[i,j] = nint (Memd[lref+j-1] - Memd[coord+j-1]) + call mw_ctfree (ct) + } + } + reloff = true + case PHYSICAL: + call salloc (section, SZ_FNAME, TY_CHAR) + + call mw_gltermd (mw, Memd[ltm], Memd[coord], indim) + do i = 2, nimages { + call mw_close (mw) + mw = mw_openim (in[i]) + call mw_gltermd (mw, Memd[cd], Memd[coord], indim) + call strcpy ("[", Memc[section], SZ_FNAME) + flip = false + do j = 0, indim*indim-1, indim+1 { + if (Memd[ltm+j] * Memd[cd+j] >= 0.) + call strcat ("*,", Memc[section], SZ_FNAME) + else { + call strcat ("-*,", Memc[section], SZ_FNAME) + flip = true + } + } + Memc[section+strlen(Memc[section])-1] = ']' + if (flip) { + call imstats (in[i], IM_IMAGENAME, Memc[fname], SZ_FNAME) + call strcat (Memc[section], Memc[fname], SZ_FNAME) + call xt_imunmap (in[i], i) + in[i] = xt_immap (Memc[fname], READ_ONLY, TY_CHAR, i, 0) + call mw_close (mw) + mw = mw_openim (in[i]) + call mw_gltermd (mw, Memd[cd], Memd[coord], indim) + do j = 0, indim*indim-1 + if (!fp_equald (Memd[ltm+j], Memd[cd+j])) + call error (1, + "Cannot match physical coordinates") + } + } + + call mw_close (mw) + mw = mw_openim (in[1]) + ct = mw_sctran (mw, "logical", "physical", 0) + call mw_ctrand (ct, Memd[lref], Memd[ltv], indim) + call mw_ctfree (ct) + do j = 1, outdim + offsets[1,j] = 0 + if (proj) { + ct = mw_sctran (mw, "physical", "logical", 0) + do i = 2, nimages { + Memd[ltv+outdim] = i + call mw_ctrand (ct, Memd[ltv], Memd[coord], indim) + do j = 1, outdim + offsets[i,j] = nint (Memd[lref+j-1] - Memd[coord+j-1]) + } + call mw_ctfree (ct) + call mw_close (mw) + } else { + do i = 2, nimages { + call mw_close (mw) + mw = mw_openim (in[i]) + ct = mw_sctran (mw, "physical", "logical", 0) + call mw_ctrand (ct, Memd[ltv], Memd[coord], indim) + do j = 1, outdim + offsets[i,j] = nint (Memd[lref+j-1] - Memd[coord+j-1]) + call mw_ctfree (ct) + } + } + reloff = true + case GRID: + amin = 1 + do j = 1, outdim { + call gargi (a) + call gargi (b) + if (nscan() < 1+2*j) { + a = 1 + b = 0 + } + do i = 1, nimages + offsets[i,j] = mod ((i-1)/amin, a) * b + amin = amin * a + } + reloff = true + case FILE: + reloff = true + fd = open (Memc[fname], READ_ONLY, TEXT_FILE) + do i = 1, nimages { +newscan_ if (fscan (fd) == EOF) + call error (1, "IMCOMBINE: Offset list too short") + call gargwrd (Memc[fname], SZ_FNAME) + if (Memc[fname] == '#') { + call gargwrd (Memc[fname], SZ_FNAME) + call strlwr (Memc[fname]) + if (streq (Memc[fname], "absolute")) + reloff = false + else if (streq (Memc[fname], "relative")) + reloff = true + goto newscan_ + } + call reset_scan () + do j = 1, outdim { + call gargr (val) + offsets[i,j] = nint (val) + } + if (nscan() < outdim) + call error (1, "IMCOMBINE: Error in offset list") + } + call close (fd) + } + + # Set the output image size and the aligned flag + aligned = true + do j = 1, outdim { + a = offsets[1,j] + b = IM_LEN(in[1],j) + a + amin = a + bmax = b + do i = 2, nimages { + a = offsets[i,j] + b = IM_LEN(in[i],j) + a + if (a != amin || b != bmax || !reloff) + aligned = false + amin = min (a, amin) + bmax = max (b, bmax) + } + IM_LEN(out[1],j) = bmax + if (reloff || amin < 0) { + do i = 1, nimages + offsets[i,j] = offsets[i,j] - amin + IM_LEN(out[1],j) = IM_LEN(out[1],j) - amin + } + } + + # Get the output limits. + call clgstr ("outlimits", Memc[fname], SZ_FNAME) + call sscan (Memc[fname]) + do j = 1, outdim { + call gargi (a) + call gargi (b) + if (nscan() < 2*j) + break + if (!IS_INDEFI(a)) { + do i = 1, nimages { + offsets[i,j] = offsets[i,j] - a + 1 + if (offsets[i,j] != 0) + aligned = false + } + IM_LEN(out[1],j) = IM_LEN(out[1],j) - a + 1 + } + if (!IS_INDEFI(a) && !IS_INDEFI(b)) + IM_LEN(out[1],j) = min (IM_LEN(out[1],j), b - a + 1) + } + + # Update the WCS. + if (proj || !aligned || !reloff) { + call mw_close (mw) + mw = mw_openim (out[1]) + mwdim = mw_stati (mw, MW_NPHYSDIM) + call mw_gaxmap (mw, Memi[axno], Memi[axval], mwdim) + if (!aligned || !reloff) { + call mw_gltermd (mw, Memd[cd], Memd[lref], mwdim) + do i = 1, mwdim { + j = Memi[axno+i-1] + if (j > 0 && j <= indim) + Memd[lref+i-1] = Memd[lref+i-1] + offsets[1,j] + } + if (proj) + Memd[lref+mwdim-1] = 0. + call mw_sltermd (mw, Memd[cd], Memd[lref], mwdim) + } + if (proj) { + # Apply dimensional reduction. + do i = 1, mwdim { + j = Memi[axno+i-1] + if (j <= outdim) + next + else if (j > outdim+1) + Memi[axno+i-1] = j - 1 + else { + Memi[axno+i-1] = 0 + Memi[axval+i-1] = 0 + } + } + call mw_saxmap (mw, Memi[axno], Memi[axval], mwdim) + } + + # Reset physical coordinates. + if (offtype == WCS || offtype == WORLD) { + call mw_gltermd (mw, Memd[ltm], Memd[ltv], mwdim) + call mw_gwtermd (mw, Memd[lref], Memd[wref], Memd[cd], mwdim) + call mwvmuld (Memd[ltm], Memd[lref], Memd[lref], mwdim) + call aaddd (Memd[lref], Memd[ltv], Memd[lref], mwdim) + call mwinvertd (Memd[ltm], Memd[ltm], mwdim) + call mwmmuld (Memd[cd], Memd[ltm], Memd[cd], mwdim) + call mw_swtermd (mw, Memd[lref], Memd[wref], Memd[cd], mwdim) + call aclrd (Memd[ltv], mwdim) + call aclrd (Memd[ltm], mwdim*mwdim) + do i = 1, mwdim + Memd[ltm+(i-1)*(mwdim+1)] = 1. + call mw_sltermd (mw, Memd[ltm], Memd[ltv], mwdim) + } + call mw_saveim (mw, out) + } + call mw_close (mw) + + # Throw an error if the output size is too large. + if (offtype != NONE) { + npix = IM_LEN(out[1],1) + do i = 2, outdim + npix = npix * IM_LEN(out[1],i) + npix = npix / 1000000000 + if (npix > 100) + call error (1, "Output has more than 100 Gpixels (check offsets)") + } + + call sfree (sp) +end diff --git a/pkg/images/immatch/src/imcombine/src/icsigma.gx b/pkg/images/immatch/src/imcombine/src/icsigma.gx new file mode 100644 index 00000000..1304d940 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icsigma.gx @@ -0,0 +1,122 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include "../icombine.h" + +$for (sird) +# IC_SIGMA -- Compute the sigma image line. +# The estimated sigma includes a correction for the finite population. +# Weights are used if desired. + +procedure ic_sigma$t (d, m, n, wts, npts, average, sigma) + +pointer d[ARB] # Data pointers +pointer m[ARB] # Image ID pointers +int n[npts] # Number of points +real wts[ARB] # Weights +int npts # Number of output points per line +$if (datatype == sil) +real average[npts] # Average +real sigma[npts] # Sigma line (returned) +$else +PIXEL average[npts] # Average +PIXEL sigma[npts] # Sigma line (returned) +$endif + +int i, j, k, n1 +real wt, sigcor, sumwt +$if (datatype == sil) +real a, sum +$else +PIXEL a, sum +$endif + +include "../icombine.com" + +begin + if (dflag == D_ALL) { + n1 = n[1] + if (dowts) { + if (n1 > 1) + sigcor = real (n1) / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Mem$t[d[1]+k] - a) ** 2 * wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Mem$t[d[j]+k] - a) ** 2 * wt + } + sigma[i] = sqrt (sum * sigcor) + } + } else { + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + do i = 1, npts { + k = i - 1 + a = average[i] + sum = (Mem$t[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Mem$t[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } + } + } else if (dflag == D_NONE) { + do i = 1, npts + sigma[i] = blank + } else { + if (dowts) { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = real (n1) / real (n1 -1) + else + sigcor = 1 + a = average[i] + wt = wts[Memi[m[1]+k]] + sum = (Mem$t[d[1]+k] - a) ** 2 * wt + sumwt = wt + do j = 2, n1 { + wt = wts[Memi[m[j]+k]] + sum = sum + (Mem$t[d[j]+k] - a) ** 2 * wt + sumwt = sumwt + wt + } + if (sumwt > 0) + sigma[i] = sqrt (sum / sumwt * sigcor) + else { + sum = (Mem$t[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Mem$t[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum / n1 * sigcor) + } + } else + sigma[i] = blank + } + } else { + do i = 1, npts { + n1 = n[i] + if (n1 > 0) { + k = i - 1 + if (n1 > 1) + sigcor = 1. / real (n1 - 1) + else + sigcor = 1. + a = average[i] + sum = (Mem$t[d[1]+k] - a) ** 2 + do j = 2, n1 + sum = sum + (Mem$t[d[j]+k] - a) ** 2 + sigma[i] = sqrt (sum * sigcor) + } else + sigma[i] = blank + } + } + } +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icsort.gx b/pkg/images/immatch/src/imcombine/src/icsort.gx new file mode 100644 index 00000000..e124da15 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icsort.gx @@ -0,0 +1,386 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +define LOGPTR 32 # log2(maxpts) (4e9) + +$for (sird) +# IC_SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. + +procedure ic_sort$t (a, b, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +PIXEL b[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +PIXEL pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR] +define swap {temp=$1;$1=$2;$2=temp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix + b[i] = Mem$t[a[i]+l] + + # Special cases + $if (datatype == x) + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (abs (temp) < abs (pivot)) { + b[1] = temp + b[2] = pivot + } else + next + } else { + temp3 = b[3] + if (abs (temp) < abs (pivot)) { # bac|bca|cba + if (abs (temp) < abs (temp3)) { # bac|bca + b[1] = temp + if (abs (pivot) < abs (temp3)) # bac + b[2] = pivot + else { # bca + b[2] = temp3 + b[3] = pivot + } + } else { # cba + b[1] = temp3 + b[3] = pivot + } + } else if (abs (temp3) < abs (temp)) { # acb|cab + b[3] = temp + if (abs (pivot) < abs (temp3)) # acb + b[2] = temp3 + else { # cab + b[1] = temp3 + b[2] = pivot + } + } else + next + } + goto copy_ + } + $else + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) # bac + b[2] = pivot + else { # bca + b[2] = temp3 + b[3] = pivot + } + } else { # cba + b[1] = temp3 + b[3] = pivot + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) # acb + b[2] = temp3 + else { # cab + b[1] = temp3 + b[2] = pivot + } + } else + next + } + goto copy_ + } + $endif + + # General case + do i = 1, npix + b[i] = Mem$t[a[i]+l] + + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]) + pivot = b[j] # pivot line + + while (i < j) { + $if (datatype == x) + for (i=i+1; abs(b[i]) < abs(pivot); i=i+1) + $else + for (i=i+1; b[i] < pivot; i=i+1) + $endif + ; + for (j=j-1; j > i; j=j-1) + $if (datatype == x) + if (abs(b[j]) <= abs(pivot)) + $else + if (b[j] <= pivot) + $endif + break + if (i < j) # out of order pair + swap (b[i], b[j]) # interchange elements + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix + Mem$t[a[i]+l] = b[i] + } +end + + +# IC_2SORT -- Quicksort. This is based on the VOPS asrt except that +# the input is an array of pointers to image lines and the sort is done +# across the image lines at each point along the lines. The number of +# valid pixels at each point is allowed to vary. The cases of 1, 2, and 3 +# pixels per point are treated specially. A second integer set of +# vectors is sorted. + +procedure ic_2sort$t (a, b, c, d, nvecs, npts) + +pointer a[ARB] # pointer to input vectors +PIXEL b[ARB] # work array +pointer c[ARB] # pointer to associated integer vectors +int d[ARB] # work array +int nvecs[npts] # number of vectors +int npts # number of points in vectors + +PIXEL pivot, temp, temp3 +int i, j, k, l, p, npix, lv[LOGPTR], uv[LOGPTR], itemp +define swap {temp=$1;$1=$2;$2=temp} +define iswap {itemp=$1;$1=$2;$2=itemp} +define copy_ 10 + +begin + do l = 0, npts-1 { + npix = nvecs[l+1] + if (npix <= 1) + next + + do i = 1, npix { + b[i] = Mem$t[a[i]+l] + d[i] = Memi[c[i]+l] + } + + # Special cases + $if (datatype == x) + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (abs (temp) < abs (pivot)) { + b[1] = temp + b[2] = pivot + iswap (d[1], d[2]) + } else + next + } else { + temp3 = b[3] + if (abs (temp) < abs (pivot)) { # bac|bca|cba + if (abs (temp) < abs (temp3)) { # bac|bca + b[1] = temp + if (abs (pivot) < abs (temp3)) { # bac + b[2] = pivot + iswap (d[1], d[2]) + } else { # bca + b[2] = temp3 + b[3] = pivot + itemp = d[2] + d[2] = d[3] + d[3] = d[1] + d[1] = itemp + } + } else { # cba + b[1] = temp3 + b[3] = pivot + iswap (d[1], d[3]) + } + } else if (abs (temp3) < abs (temp)) { # acb|cab + b[3] = temp + if (abs (pivot) < abs (temp3)) { # acb + b[2] = temp3 + iswap (d[2], d[3]) + } else { # cab + b[1] = temp3 + b[2] = pivot + itemp = d[2] + d[2] = d[1] + d[1] = d[3] + d[3] = itemp + } + } else + next + } + goto copy_ + } + $else + if (npix <= 3) { + pivot = b[1] + temp = b[2] + if (npix == 2) { + if (temp < pivot) { + b[1] = temp + b[2] = pivot + iswap (d[1], d[2]) + } else + next + } else { + temp3 = b[3] + if (temp < pivot) { # bac|bca|cba + if (temp < temp3) { # bac|bca + b[1] = temp + if (pivot < temp3) { # bac + b[2] = pivot + iswap (d[1], d[2]) + } else { # bca + b[2] = temp3 + b[3] = pivot + itemp = d[2] + d[2] = d[3] + d[3] = d[1] + d[1] = itemp + } + } else { # cba + b[1] = temp3 + b[3] = pivot + iswap (d[1], d[3]) + } + } else if (temp3 < temp) { # acb|cab + b[3] = temp + if (pivot < temp3) { # acb + b[2] = temp3 + iswap (d[2], d[3]) + } else { # cab + b[1] = temp3 + b[2] = pivot + itemp = d[2] + d[2] = d[1] + d[1] = d[3] + d[3] = itemp + } + } else + next + } + goto copy_ + } + $endif + + # General case + lv[1] = 1 + uv[1] = npix + p = 1 + + while (p > 0) { + if (lv[p] >= uv[p]) # only one elem in this subset + p = p - 1 # pop stack + else { + # Dummy do loop to trigger the Fortran optimizer. + do p = p, ARB { + i = lv[p] - 1 + j = uv[p] + + # Select as the pivot the element at the center of the + # array, to avoid quadratic behavior on an already + # sorted array. + + k = (lv[p] + uv[p]) / 2 + swap (b[j], b[k]); swap (d[j], d[k]) + pivot = b[j] # pivot line + + while (i < j) { + $if (datatype == x) + for (i=i+1; abs(b[i]) < abs(pivot); i=i+1) + $else + for (i=i+1; b[i] < pivot; i=i+1) + $endif + ; + for (j=j-1; j > i; j=j-1) + $if (datatype == x) + if (abs(b[j]) <= abs(pivot)) + $else + if (b[j] <= pivot) + $endif + break + if (i < j) { # out of order pair + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + } + } + + j = uv[p] # move pivot to position i + swap (b[i], b[j]) # interchange elements + swap (d[i], d[j]) + + if (i-lv[p] < uv[p] - i) { # stack so shorter done first + lv[p+1] = lv[p] + uv[p+1] = i - 1 + lv[p] = i + 1 + } else { + lv[p+1] = i + 1 + uv[p+1] = uv[p] + uv[p] = i - 1 + } + + break + } + p = p + 1 # push onto stack + } + } + +copy_ + do i = 1, npix { + Mem$t[a[i]+l] = b[i] + Memi[c[i]+l] = d[i] + } + } +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/icstat.gx b/pkg/images/immatch/src/imcombine/src/icstat.gx new file mode 100644 index 00000000..c594182b --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/icstat.gx @@ -0,0 +1,238 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <imhdr.h> +include "../icombine.h" + +define NMAX 100000 # Maximum number of pixels to sample + +$for (sird) +# IC_STAT -- Compute image statistics within specified section. +# The image section is relative to a reference image which may be +# different than the input image and may have an offset. Only a +# subsample of pixels is used. Masked and thresholded pixels are +# ignored. Only the desired statistics are computed to increase +# efficiency. + +procedure ic_stat$t (im, imref, section, offsets, image, nimages, + domode, domedian, domean, mode, median, mean) + +pointer im # Data image +pointer imref # Reference image for image section +char section[ARB] # Image section +int offsets[nimages,ARB] # Image section offset from data to reference +int image # Image index (for mask I/O) +int nimages # Number of images in offsets. +bool domode, domedian, domean # Statistics to compute +real mode, median, mean # Statistics + +int i, j, ndim, n, nv +real a +pointer sp, v1, v2, dv, va, vb +pointer data, mask, dp, lp, mp, imgnl$t() + +$if (datatype == csir) +real asum$t() +$else $if (datatype == ld) +double asum$t() +$else +PIXEL asum$t() +$endif $endif +PIXEL ic_mode$t() + +include "../icombine.com" + +begin + call smark (sp) + call salloc (v1, IM_MAXDIM, TY_LONG) + call salloc (v2, IM_MAXDIM, TY_LONG) + call salloc (dv, IM_MAXDIM, TY_LONG) + call salloc (va, IM_MAXDIM, TY_LONG) + call salloc (vb, IM_MAXDIM, TY_LONG) + + # Determine the image section parameters. This must be in terms of + # the data image pixel coordinates though the section may be specified + # in terms of the reference image coordinates. Limit the number of + # pixels in each dimension to a maximum. + + ndim = IM_NDIM(im) + if (project) + ndim = ndim - 1 + call amovki (1, Memi[v1], IM_MAXDIM) + call amovki (1, Memi[va], IM_MAXDIM) + call amovki (1, Memi[dv], IM_MAXDIM) + call amovi (IM_LEN(imref,1), Memi[vb], ndim) + call ic_section (section, Memi[va], Memi[vb], Memi[dv], ndim) + if (im != imref) + do i = 1, ndim { + Memi[va+i-1] = Memi[va+i-1] - offsets[image,i] + Memi[vb+i-1] = Memi[vb+i-1] - offsets[image,i] + } + + do j = 1, 10 { + n = 1 + do i = 0, ndim-1 { + Memi[v1+i] = max (1, min (Memi[va+i], Memi[vb+i])) + Memi[v2+i] = min (IM_LEN(im,i+1), max (Memi[va+i], Memi[vb+i])) + Memi[dv+i] = j + nv = max (1, (Memi[v2+i] - Memi[v1+i]) / Memi[dv+i] + 1) + Memi[v2+i] = Memi[v1+i] + (nv - 1) * Memi[dv+i] + n = n * nv + } + if (n < NMAX) + break + } + + call amovl (Memi[v1], Memi[va], IM_MAXDIM) + Memi[va] = 1 + if (project) + Memi[va+ndim] = image + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + + # Accumulate the pixel values within the section. Masked pixels and + # thresholded pixels are ignored. + + call salloc (data, n, TY_PIXEL) + dp = data + while (imgnl$t (im, lp, Memi[vb]) != EOF) { + call ic_mget1 (im, image, nimages, offsets[image,1], Memi[va], mask) + lp = lp + Memi[v1] - 1 + if (dflag == D_ALL) { + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + a = Mem$t[lp] + if (a >= lthresh && a <= hthresh) { + Mem$t[dp] = a + dp = dp + 1 + } + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + Mem$t[dp] = Mem$t[lp] + dp = dp + 1 + lp = lp + Memi[dv] + } + } + } else if (dflag == D_MIX) { + mp = mask + Memi[v1] - 1 + if (dothresh) { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + a = Mem$t[lp] + if (a >= lthresh && a <= hthresh) { + Mem$t[dp] = a + dp = dp + 1 + } + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } else { + do i = Memi[v1], Memi[v2], Memi[dv] { + if (Memi[mp] == 0) { + Mem$t[dp] = Mem$t[lp] + dp = dp + 1 + } + mp = mp + Memi[dv] + lp = lp + Memi[dv] + } + } + } + for (i=2; i<=ndim; i=i+1) { + Memi[va+i-1] = Memi[va+i-1] + Memi[dv+i-1] + if (Memi[va+i-1] <= Memi[v2+i-1]) + break + Memi[va+i-1] = Memi[v1+i-1] + } + if (i > ndim) + break + call amovl (Memi[va], Memi[vb], IM_MAXDIM) + } + + # Close mask until it is needed again. + call ic_mclose1 (image, nimages) + + n = dp - data + if (n < 1) { + call sfree (sp) + call error (1, "Image section contains no pixels") + } + + # Compute only statistics needed. + if (domode || domedian) { + call asrt$t (Mem$t[data], Mem$t[data], n) + mode = ic_mode$t (Mem$t[data], n) + median = Mem$t[data+n/2-1] + } + if (domean) + mean = asum$t (Mem$t[data], n) / n + + call sfree (sp) +end + + +define NMIN 10 # Minimum number of pixels for mode calculation +define ZRANGE 0.7 # Fraction of pixels about median to use +define ZSTEP 0.01 # Step size for search for mode +define ZBIN 0.1 # Bin size for mode. + +# IC_MODE -- Compute mode of an array. The mode is found by binning +# with a bin size based on the data range over a fraction of the +# pixels about the median and a bin step which may be smaller than the +# bin size. If there are too few points the median is returned. +# The input array must be sorted. + +PIXEL procedure ic_mode$t (a, n) + +PIXEL a[n] # Data array +int n # Number of points + +int i, j, k, nmax +real z1, z2, zstep, zbin +PIXEL mode +bool fp_equalr() + +begin + if (n < NMIN) + return (a[n/2]) + + # Compute the mode. The array must be sorted. Consider a + # range of values about the median point. Use a bin size which + # is ZBIN of the range. Step the bin limits in ZSTEP fraction of + # the bin size. + + i = 1 + n * (1. - ZRANGE) / 2. + j = 1 + n * (1. + ZRANGE) / 2. + z1 = a[i] + z2 = a[j] + if (fp_equalr (z1, z2)) { + mode = z1 + return (mode) + } + + zstep = ZSTEP * (z2 - z1) + zbin = ZBIN * (z2 - z1) + $if (datatype == sil) + zstep = max (1., zstep) + zbin = max (1., zbin) + $endif + + z1 = z1 - zstep + k = i + nmax = 0 + repeat { + z1 = z1 + zstep + z2 = z1 + zbin + for (; i < j && a[i] < z1; i=i+1) + ; + for (; k < j && a[k] < z2; k=k+1) + ; + if (k - i > nmax) { + nmax = k - i + mode = a[(i+k)/2] + } + } until (k >= j) + + return (mode) +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/mkpkg b/pkg/images/immatch/src/imcombine/src/mkpkg new file mode 100644 index 00000000..5f53d4b8 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/mkpkg @@ -0,0 +1,67 @@ +# Make the IMCOMBINE library. + +update: + $checkout libimc.a lib$ + $update libimc.a + $checkin libimc.a lib$ + ; + +generic: + $set GEN = "$$generic -k" + + $ifolder (generic/icaclip.x, icaclip.gx) + $(GEN) icaclip.gx -o generic/icaclip.x $endif + $ifolder (generic/icaverage.x, icaverage.gx) + $(GEN) icaverage.gx -o generic/icaverage.x $endif + $ifolder (generic/icquad.x, icquad.gx) + $(GEN) icquad.gx -o generic/icquad.x $endif + $ifolder (generic/icnmodel.x, icnmodel.gx) + $(GEN) icnmodel.gx -o generic/icnmodel.x $endif + $ifolder (generic/iccclip.x, iccclip.gx) + $(GEN) iccclip.gx -o generic/iccclip.x $endif + $ifolder (generic/icgdata.x, icgdata.gx) + $(GEN) icgdata.gx -o generic/icgdata.x $endif + $ifolder (generic/icgrow.x, icgrow.gx) + $(GEN) icgrow.gx -o generic/icgrow.x $endif + $ifolder (generic/icmedian.x, icmedian.gx) + $(GEN) icmedian.gx -o generic/icmedian.x $endif + $ifolder (generic/icmm.x, icmm.gx) + $(GEN) icmm.gx -o generic/icmm.x $endif + $ifolder (generic/icomb.x, icomb.gx) + $(GEN) icomb.gx -o generic/icomb.x $endif + $ifolder (generic/icpclip.x, icpclip.gx) + $(GEN) icpclip.gx -o generic/icpclip.x $endif + $ifolder (generic/icsclip.x, icsclip.gx) + $(GEN) icsclip.gx -o generic/icsclip.x $endif + $ifolder (generic/icsigma.x, icsigma.gx) + $(GEN) icsigma.gx -o generic/icsigma.x $endif + $ifolder (generic/icsort.x, icsort.gx) + $(GEN) icsort.gx -o generic/icsort.x $endif + $ifolder (generic/icstat.x, icstat.gx) + $(GEN) icstat.gx -o generic/icstat.x $endif + + $ifolder (generic/xtimmap.x, xtimmap.gx) + $(GEN) xtimmap.gx -o generic/xtimmap.x $endif + ; + +libimc.a: + $ifeq (USE_GENERIC, yes) $call generic $endif + + @generic + + icemask.x <imhdr.h> <mach.h> + icgscale.x icombine.com icombine.h + ichdr.x <imset.h> + icimstack.x <error.h> <imhdr.h> + iclog.x icmask.h icombine.com icombine.h <imhdr.h> <imset.h>\ + <mach.h> + icmask.x icmask.h icombine.com icombine.h <imhdr.h> <pmset.h> + icombine.x icombine.com icombine.h <error.h> <imhdr.h> <imset.h> + icpmmap.x <pmset.h> + icrmasks.x <imhdr.h> + icscale.x icombine.com icombine.h <imhdr.h> <imset.h> + icsection.x <ctype.h> + icsetout.x icombine.com <imhdr.h> <imset.h> <mwset.h> + tymax.x <mach.h> + xtprocid.x + ; diff --git a/pkg/images/immatch/src/imcombine/src/tymax.x b/pkg/images/immatch/src/imcombine/src/tymax.x new file mode 100644 index 00000000..a7f4f469 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/tymax.x @@ -0,0 +1,27 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <mach.h> + + +# TY_MAX -- Return the datatype of highest precedence. + +int procedure ty_max (type1, type2) + +int type1, type2 # Datatypes + +int i, j, type, order[8] +data order/TY_SHORT,TY_USHORT,TY_INT,TY_LONG,TY_REAL,TY_DOUBLE,TY_COMPLEX,TY_REAL/ + +begin + for (i=1; (i<=7) && (type1!=order[i]); i=i+1) + ; + for (j=1; (j<=7) && (type2!=order[j]); j=j+1) + ; + type = order[max(i,j)] + + # Special case of mixing short and unsigned short. + if (type == TY_USHORT && type1 != type2) + type = TY_INT + + return (type) +end diff --git a/pkg/images/immatch/src/imcombine/src/xtimmap.gx b/pkg/images/immatch/src/imcombine/src/xtimmap.gx new file mode 100644 index 00000000..2e6cfb1e --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/xtimmap.gx @@ -0,0 +1,634 @@ +include <syserr.h> +include <error.h> +include <imhdr.h> +include <imset.h> +include <config.h> + +# The following is for compiling under V2.11. +define IM_BUFFRAC IM_BUFSIZE +include <imset.h> + +define VERBOSE false + +# These routines maintain an arbitrary number of indexed "open" images which +# must be READ_ONLY. The calling program may use the returned pointer for +# header accesses but must call xt_opix before I/O. Subsequent calls to +# xt_opix may invalidate the pointer. The xt_imunmap call will free memory. + +define MAX_OPENIM (LAST_FD-16) # Maximum images kept open +define MAX_OPENPIX 45 # Maximum pixel files kept open + +define XT_SZIMNAME 299 # Size of IMNAME string +define XT_LEN 179 # Structure length +define XT_IMNAME Memc[P2C($1)] # Image name +define XT_ARG Memi[$1+150] # IMMAP header argument +define XT_IM Memi[$1+151] # IMIO pointer +define XT_HDR Memi[$1+152] # Copy of IMIO pointer +define XT_CLOSEFD Memi[$1+153] # Close FD? +define XT_FLAG Memi[$1+154] # Flag +define XT_BUFSIZE Memi[$1+155] # Buffer size +define XT_BUF Memi[$1+156] # Data buffer +define XT_BTYPE Memi[$1+157] # Data buffer type +define XT_VS Memi[$1+157+$2] # Start vector (10) +define XT_VE Memi[$1+167+$2] # End vector (10) + +# Options +define XT_MAPUNMAP 1 # Map and unmap images. + +# XT_IMMAP -- Map an image and save it as an indexed open image. +# The returned pointer may be used for header access but not I/O. +# The indexed image is closed by xt_imunmap. + +pointer procedure xt_immap (imname, acmode, hdr_arg, index, retry) + +char imname[ARB] #I Image name +int acmode #I Access mode +int hdr_arg #I Header argument +int index #I Save index +int retry #I Retry counter +pointer im #O Image pointer (returned) + +int i, envgeti() +pointer xt, xt_opix() +errchk xt_opix + +int first_time +data first_time /YES/ + +include "xtimmap.com" + +begin + if (acmode != READ_ONLY) + call error (1, "XT_IMMAP: Only READ_ONLY allowed") + + # Set maximum number of open images based on retry. + if (retry > 0) + max_openim = min (1024, MAX_OPENIM) / retry + else + max_openim = MAX_OPENIM + + # Initialize once per process. + if (first_time == YES) { + iferr (option = envgeti ("imcombine_option")) + option = 1 + min_open = 1 + nopen = 0 + nopenpix = 0 + nalloc = max_openim + call calloc (ims, nalloc, TY_POINTER) + first_time = NO + } + + # Free image if needed. + call xt_imunmap (NULL, index) + + # Allocate structure. + if (index > nalloc) { + i = nalloc + nalloc = index + max_openim + call realloc (ims, nalloc, TY_STRUCT) + call amovki (NULL, Memi[ims+i], nalloc-i) + } + call calloc (xt, XT_LEN, TY_STRUCT) + Memi[ims+index-1] = xt + + # Initialize. + call strcpy (imname, XT_IMNAME(xt), XT_SZIMNAME) + XT_ARG(xt) = hdr_arg + XT_IM(xt) = NULL + XT_HDR(xt) = NULL + + # Open image. + last_flag = 0 + im = xt_opix (NULL, index, 0) + + # Make copy of IMIO pointer for header keyword access. + call malloc (XT_HDR(xt), LEN_IMDES+IM_HDRLEN(im)+1, TY_STRUCT) + call amovi (Memi[im], Memi[XT_HDR(xt)], LEN_IMDES) + call amovi (IM_MAGIC(im), IM_MAGIC(XT_HDR(xt)), IM_HDRLEN(im)+1) + + return (XT_HDR(xt)) +end + + +# XT_OPIX -- Open the image for I/O. +# If the image has not been mapped return the default pointer. + +pointer procedure xt_opix (imdef, index, flag) + +int index #I index +pointer imdef #I Default pointer +int flag #I Flag + +int i, open(), imstati() +pointer im, xt, xt1, immap() +errchk open, immap, imunmap + +include "xtimmap.com" + +begin + # Get index pointer. + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + # Use default pointer if index has not been mapped. + if (xt == NULL) + return (imdef) + + # Close images not accessed during previous line. + # In normal usage this should only occur once per line over all + # indexed images. + if (flag != last_flag) { + do i = 1, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL || XT_FLAG(xt1) == last_flag) + next + if (VERBOSE) { + call eprintf ("%d: xt_opix imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + call mfree (XT_BUF(xt1), XT_BTYPE(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + } + + # Optimize the file I/O. + do i = nalloc, 1, -1 { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + min_open = i + if (nopenpix < MAX_OPENPIX) { + if (XT_CLOSEFD(xt1) == NO) + next + XT_CLOSEFD(xt1) = NO + call imseti (im, IM_CLOSEFD, NO) + nopenpix = nopenpix + 1 + } + } + last_flag = flag + } + + # Return pointer for already opened images. + im = XT_IM(xt) + if (im != NULL) { + XT_FLAG(xt) = flag + return (im) + } + + # Handle more images than the maximum that can be open at one time. + if (nopen >= max_openim) { + if (option == XT_MAPUNMAP || flag == 0) { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + if (VERBOSE) { + call eprintf ("%d: imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + min_open = i + 1 + break + } + if (index <= min_open) + min_open = index + else { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + min_open = i + break + } + } + } else { + # Check here because we can't catch error in immap. + i = open ("dev$null", READ_ONLY, BINARY_FILE) + call close (i) + if (i == LAST_FD - 1) + call error (SYS_FTOOMANYFILES, "Too many open files") + } + } + + # Open image. + if (VERBOSE) { + call eprintf ("%d: xt_opix immap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + im = immap (XT_IMNAME(xt), READ_ONLY, XT_ARG(xt)) + XT_IM(xt) = im + if (!IS_INDEFI(XT_BUFSIZE(xt))) + call imseti (im, IM_BUFSIZE, XT_BUFSIZE(xt)) + else + XT_BUFSIZE(xt) = imstati (im, IM_BUFSIZE) + nopen = nopen + 1 + XT_CLOSEFD(xt) = YES + if (nopenpix < MAX_OPENPIX) { + XT_CLOSEFD(xt) = NO + nopenpix = nopenpix + 1 + } + if (XT_CLOSEFD(xt) == YES) + call imseti (im, IM_CLOSEFD, YES) + XT_FLAG(xt) = flag + + return (im) +end + + +# XT_CPIX -- Close image. + +procedure xt_cpix (index) + +int index #I index + +pointer xt +errchk imunmap + +include "xtimmap.com" + +begin + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + if (xt == NULL) + return + + if (XT_IM(xt) != NULL) { + if (VERBOSE) { + call eprintf ("%d: xt_cpix imunmap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + call imunmap (XT_IM(xt)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt) == NO) + nopenpix = nopenpix - 1 + } + call mfree (XT_BUF(xt), XT_BTYPE(xt)) +end + + +# XT_IMSETI -- Set IMIO value. + +procedure xt_imseti (index, param, value) + +int index #I index +int param #I IMSET parameter +int value #I Value + +pointer xt +bool streq() + +include "xtimmap.com" + +begin + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + if (xt == NULL) { + if (streq (param, "option")) + option = value + } else { + if (streq (param, "bufsize")) { + XT_BUFSIZE(xt) = value + if (XT_IM(xt) != NULL) { + call imseti (XT_IM(xt), IM_BUFFRAC, 0) + call imseti (XT_IM(xt), IM_BUFSIZE, value) + } + } + } +end + + +# XT_IMUNMAP -- Unmap indexed open image. +# The header pointer is set to NULL to indicate the image has been closed. + +procedure xt_imunmap (im, index) + +int im #U IMIO header pointer +int index #I index + +pointer xt +errchk imunmap + +include "xtimmap.com" + +begin + # Check for an indexed image. If it is not unmap the pointer + # as a regular IMIO pointer. + + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + if (xt == NULL) { + if (im != NULL) + call imunmap (im) + return + } + + # Close indexed image. + if (XT_IM(xt) != NULL) { + if (VERBOSE) { + call eprintf ("%d: xt_imunmap imunmap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + iferr (call imunmap (XT_IM(xt))) { + XT_IM(xt) = NULL + call erract (EA_WARN) + } + nopen = nopen - 1 + if (XT_CLOSEFD(xt) == NO) + nopenpix = nopenpix - 1 + if (index == min_open) + min_open = 1 + } + + # Free any buffered memory. + call mfree (XT_BUF(xt), XT_BTYPE(xt)) + + # Free header pointer. Note that if the supplied pointer is not + # header pointer then it is not set to NULL. + if (XT_HDR(xt) == im) + im = NULL + call mfree (XT_HDR(xt), TY_STRUCT) + + # Free save structure. + call mfree (Memi[ims+index-1], TY_STRUCT) + Memi[ims+index-1] = NULL +end + + +# XT_MINHDR -- Minimize header assuming keywords will not be accessed. + +procedure xt_minhdr (index) + +int index #I index + +pointer xt +errchk realloc + +include "xtimmap.com" + +begin + # Check for an indexed image. If it is not unmap the pointer + # as a regular IMIO pointer. + + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + if (xt == NULL) + return + + # Minimize header pointer. + if (VERBOSE) { + call eprintf ("%d: xt_minhdr %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + call realloc (XT_HDR(xt), IMU+1, TY_STRUCT) + if (XT_IM(xt) != NULL) + call realloc (XT_IM(xt), IMU+1, TY_STRUCT) +end + + +# XT_REINDEX -- Reindex open images. +# This is used when some images are closed by xt_imunmap. It is up to +# the calling program to reindex the header pointers and to subsequently +# use the new index values. + +procedure xt_reindex () + +int old, new + +include "xtimmap.com" + +begin + new = 0 + do old = 0, nalloc-1 { + if (Memi[ims+old] == NULL) + next + Memi[ims+new] = Memi[ims+old] + new = new + 1 + } + do old = new, nalloc-1 + Memi[ims+old] = NULL +end + + +$for(sird) +# XT_IMGNL -- Return the next line for the indexed image. +# Possibly unmap another image if too many files are open. +# Buffer data when an image is unmmaped to minimize the mapping of images. +# If the requested index has not been mapped use the default pointer. + +int procedure xt_imgnl$t (imdef, index, buf, v, flag) + +pointer imdef #I Default pointer +int index #I index +pointer buf #O Data buffer +long v[ARB] #I Line vector +int flag #I Flag (=output line) + +int i, j, nc, nl, open(), imgnl$t(), sizeof(), imloop() +pointer im, xt, xt1, ptr, immap(), imggs$t() +errchk open, immap, imgnl$t, imggs$t, imunmap + +long unit_v[IM_MAXDIM] +data unit_v /IM_MAXDIM * 1/ + +include "xtimmap.com" + +begin + # Get index pointer. + xt = NULL + if (index <= nalloc && index > 0) + xt = Memi[ims+index-1] + + # Use default pointer if index has not been mapped. + if (xt == NULL) + return (imgnl$t (imdef, buf, v)) + + # Close images not accessed during previous line. + # In normal usage this should only occur once per line over all + # indexed images. + if (flag != last_flag) { + do i = 1, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL || XT_FLAG(xt1) == last_flag) + next + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + call mfree (XT_BUF(xt1), XT_BTYPE(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + } + + # Optimize the file I/O. + do i = nalloc, 1, -1 { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + min_open = i + if (nopenpix < MAX_OPENPIX) { + if (XT_CLOSEFD(xt1) == NO) + next + XT_CLOSEFD(xt1) = NO + call imseti (im, IM_CLOSEFD, NO) + nopenpix = nopenpix + 1 + } + } + last_flag = flag + } + + # Use IMIO for already opened images. + im = XT_IM(xt) + if (im != NULL) { + XT_FLAG(xt) = flag + return (imgnl$t (im, buf, v)) + } + + # If the image is not currently mapped use the stored header. + im = XT_HDR(xt) + + # Check for EOF. + i = IM_NDIM(im) + if (v[i] > IM_LEN(im,i)) + return (EOF) + + # Check for buffered data. + if (XT_BUF(xt) != NULL) { + if (v[2] >= XT_VS(xt,2) && v[2] <= XT_VE(xt,2)) { + if (XT_BTYPE(xt) != TY_PIXEL) + call error (1, "Cannot mix data types") + nc = IM_LEN(im,1) + buf = XT_BUF(xt) + (v[2]-XT_VS(xt,2)) * IM_LEN(im,1) + XT_FLAG(xt) = flag + if (i == 1) + v[1] = nc + 1 + else + j = imloop (v, unit_v, IM_LEN(im,1), unit_v, i) + return (nc) + } + } + + # Handle more images than the maximum that can be open at one time. + if (nopen >= max_openim) { + if (option == XT_MAPUNMAP || v[2] == 0) { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + im = XT_IM(xt1) + if (im == NULL) + next + + # Buffer some number of lines. + nl = XT_BUFSIZE(xt1) / sizeof (TY_PIXEL) / IM_LEN(im,1) + if (nl > 1) { + nc = IM_LEN(im,1) + call amovl (v, XT_VS(xt1,1), IM_MAXDIM) + call amovl (v, XT_VE(xt1,1), IM_MAXDIM) + XT_VS(xt1,1) = 1 + XT_VE(xt1,1) = nc + XT_VE(xt1,2) = min (XT_VS(xt1,2)+(nl-1), IM_LEN(im,2)) + nl = XT_VE(xt1,2) - XT_VS(xt1,2) + 1 + XT_BTYPE(xt1) = TY_PIXEL + call malloc (XT_BUF(xt1), nl*nc, XT_BTYPE(xt1)) + ptr = imggs$t (im, XT_VS(xt1,1), XT_VE(xt1,1), + IM_NDIM(im)) + call amov$t (Mem$t[ptr], Mem$t[XT_BUF(xt1)], nl*nc) + } + + if (VERBOSE) { + call eprintf ("%d: xt_imgnl imunmap %s\n") + call pargi (i) + call pargstr (XT_IMNAME(xt1)) + } + call imunmap (XT_IM(xt1)) + nopen = nopen - 1 + if (XT_CLOSEFD(xt1) == NO) + nopenpix = nopenpix - 1 + min_open = i + 1 + break + } + if (index <= min_open) + min_open = index + else { + do i = min_open, nalloc { + xt1 = Memi[ims+i-1] + if (xt1 == NULL) + next + if (XT_IM(xt1) == NULL) + next + min_open = i + break + } + } + } else { + # Check here because we can't catch error in immap. + i = open ("dev$null", READ_ONLY, BINARY_FILE) + call close (i) + if (i == LAST_FD - 1) + call error (SYS_FTOOMANYFILES, "Too many open files") + } + } + + # Open image. + if (VERBOSE) { + call eprintf ("%d: xt_imgnl immap %s\n") + call pargi (index) + call pargstr (XT_IMNAME(xt)) + } + im = immap (XT_IMNAME(xt), READ_ONLY, XT_ARG(xt)) + XT_IM(xt) = im + call imseti (im, IM_BUFSIZE, XT_BUFSIZE(xt)) + call mfree (XT_BUF(xt), XT_BTYPE(xt)) + nopen = nopen + 1 + XT_CLOSEFD(xt) = YES + if (nopenpix < MAX_OPENPIX) { + XT_CLOSEFD(xt) = NO + nopenpix = nopenpix + 1 + } + if (XT_CLOSEFD(xt) == YES) + call imseti (im, IM_CLOSEFD, YES) + XT_FLAG(xt) = flag + + return (imgnl$t (im, buf, v)) +end +$endfor diff --git a/pkg/images/immatch/src/imcombine/src/xtprocid.x b/pkg/images/immatch/src/imcombine/src/xtprocid.x new file mode 100644 index 00000000..0a82d81b --- /dev/null +++ b/pkg/images/immatch/src/imcombine/src/xtprocid.x @@ -0,0 +1,38 @@ +# XT_PROCID -- Set or ppdate PROCID keyword. + +procedure xt_procid (im) + +pointer im #I Image header + +int i, j, ver, patmake(), gpatmatch(), strlen(), ctoi() +pointer sp, pat, str + +begin + call smark (sp) + call salloc (pat, SZ_LINE, TY_CHAR) + call salloc (str, SZ_FNAME, TY_CHAR) + + # Get current ID. + iferr (call imgstr (im, "PROCID", Memc[str], SZ_LINE)) { + iferr (call imgstr (im, "OBSID", Memc[str], SZ_LINE)) { + call sfree (sp) + return + } + } + + # Set new PROCID. + ver = 0 + i = patmake ("V[0-9]*$", Memc[pat], SZ_LINE) + if (gpatmatch (Memc[str], Memc[pat], i, j) == 0) + ; + if (j > 0) { + j = i+1 + if (ctoi (Memc[str], j, ver) == 0) + ver = 0 + i = i - 1 + } else + i = strlen (Memc[str]) + call sprintf (Memc[str+i], SZ_LINE, "V%d") + call pargi (ver+1) + call imastr (im, "PROCID", Memc[str]) +end diff --git a/pkg/images/immatch/src/imcombine/t_imcombine.x b/pkg/images/immatch/src/imcombine/t_imcombine.x new file mode 100644 index 00000000..d3774958 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/t_imcombine.x @@ -0,0 +1,230 @@ +# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc. + +include <error.h> +include <mach.h> +include <imhdr.h> +include "src/icombine.h" + + +# T_IMCOMBINE - This task combines a list of images into an output image +# and an optional sigma image. There are many combining options from +# which to choose. + +procedure t_imcombine () + +pointer sp, fname, output, headers, bmask, rmask, sigma, nrmask, emask, logfile +pointer scales, zeros, wts, im +int n, input, ilist, olist, hlist, blist, rlist, slist, nrlist, elist + +bool clgetb() +real clgetr() +int clgwrd(), clgeti(), imtopenp(), imtopen(), imtgetim(), imtlen() +pointer immap() +errchk immap, icombine + +include "src/icombine.com" + +begin + call smark (sp) + call salloc (fname, SZ_FNAME, TY_CHAR) + call salloc (output, SZ_FNAME, TY_CHAR) + call salloc (headers, SZ_FNAME, TY_CHAR) + call salloc (bmask, SZ_FNAME, TY_CHAR) + call salloc (rmask, SZ_FNAME, TY_CHAR) + call salloc (nrmask, SZ_FNAME, TY_CHAR) + call salloc (emask, SZ_FNAME, TY_CHAR) + call salloc (sigma, SZ_FNAME, TY_CHAR) + call salloc (expkeyword, SZ_FNAME, TY_CHAR) + call salloc (statsec, SZ_FNAME, TY_CHAR) + call salloc (gain, SZ_FNAME, TY_CHAR) + call salloc (rdnoise, SZ_FNAME, TY_CHAR) + call salloc (snoise, SZ_FNAME, TY_CHAR) + call salloc (logfile, SZ_FNAME, TY_CHAR) + + # Get task parameters. Some additional parameters are obtained later. + ilist = imtopenp ("input") + olist = imtopenp ("output") + hlist = imtopenp ("headers") + blist = imtopenp ("bpmasks") + rlist = imtopenp ("rejmasks") + nrlist = imtopenp ("nrejmasks") + elist = imtopenp ("expmasks") + slist = imtopenp ("sigmas") + call clgstr ("logfile", Memc[logfile], SZ_FNAME) + + project = clgetb ("project") + combine = clgwrd ("combine", Memc[fname], SZ_FNAME, COMBINE) + if (combine == MEDIAN || combine == LMEDIAN) { + if (combine == MEDIAN) + medtype = MEDAVG + else { + medtype = MEDLOW + combine = MEDIAN + } + } + reject = clgwrd ("reject", Memc[fname], SZ_FNAME, REJECT) + blank = clgetr ("blank") + call clgstr ("expname", Memc[expkeyword], SZ_FNAME) + call clgstr ("statsec", Memc[statsec], SZ_FNAME) + call clgstr ("gain", Memc[gain], SZ_FNAME) + call clgstr ("rdnoise", Memc[rdnoise], SZ_FNAME) + call clgstr ("snoise", Memc[snoise], SZ_FNAME) + lthresh = clgetr ("lthreshold") + hthresh = clgetr ("hthreshold") + lsigma = clgetr ("lsigma") + hsigma = clgetr ("hsigma") + pclip = clgetr ("pclip") + flow = clgetr ("nlow") + fhigh = clgetr ("nhigh") + nkeep = clgeti ("nkeep") + grow = clgetr ("grow") + mclip = clgetb ("mclip") + sigscale = clgetr ("sigscale") + verbose = false + + # Check lists. + n = imtlen (ilist) + if (n == 0) + call error (1, "No input images to combine") + + if (project) { + if (imtlen (olist) != n) + call error (1, "Wrong number of output images") + if (imtlen (hlist) != 0 && imtlen (hlist) != n) + call error (1, "Wrong number of header files") + if (imtlen (blist) != 0 && imtlen (blist) != n) + call error (1, "Wrong number of bad pixel masks") + if (imtlen (rlist) != 0 && imtlen (rlist) != n) + call error (1, "Wrong number of rejection masks") + if (imtlen (nrlist) > 0 && imtlen (nrlist) != n) + call error (1, "Wrong number of number rejected masks") + if (imtlen (elist) > 0 && imtlen (elist) != n) + call error (1, "Wrong number of exposure masks") + if (imtlen (slist) > 0 && imtlen (slist) != n) + call error (1, "Wrong number of sigma images") + } else { + if (imtlen (olist) != 1) + call error (1, "Wrong number of output images") + if (imtlen (hlist) > 1) + call error (1, "Wrong number of header files") + if (imtlen (blist) > 1) + call error (1, "Wrong number of bad pixel masks") + if (imtlen (rlist) > 1) + call error (1, "Wrong number of rejection masks") + if (imtlen (nrlist) > 1) + call error (1, "Wrong number of number rejected masks") + if (imtlen (elist) > 1) + call error (1, "Wrong number of exposure masks") + if (imtlen (slist) > 1) + call error (1, "Wrong number of sigma images") + } + + # Check parameters, map INDEFs, and set threshold flag + if (pclip == 0. && reject == PCLIP) + call error (1, "Pclip parameter may not be zero") + if (IS_INDEFR (blank)) + blank = 0. + if (IS_INDEFR (lsigma)) + lsigma = MAX_REAL + if (IS_INDEFR (hsigma)) + hsigma = MAX_REAL + if (IS_INDEFR (pclip)) + pclip = -0.5 + if (IS_INDEFR (flow)) + flow = 0 + if (IS_INDEFR (fhigh)) + fhigh = 0 + if (IS_INDEFR (grow)) + grow = 0. + if (IS_INDEF (sigscale)) + sigscale = 0. + + if (IS_INDEF(lthresh) && IS_INDEF(hthresh)) + dothresh = false + else { + dothresh = true + if (IS_INDEF(lthresh)) + lthresh = -MAX_REAL + if (IS_INDEF(hthresh)) + hthresh = MAX_REAL + } + + # Loop through image lists. + while (imtgetim (ilist, Memc[fname], SZ_FNAME) != EOF) { + iferr { + scales = NULL; input = ilist + + if (imtgetim (olist, Memc[output], SZ_FNAME) == EOF) { + if (project) { + call sprintf (Memc[output], SZ_FNAME, + "IMCOMBINE: No output image for %s") + call pargstr (Memc[fname]) + call error (1, Memc[output]) + } else + call error (1, "IMCOMBINE: No output image") + } + if (imtgetim (hlist, Memc[headers], SZ_FNAME) == EOF) + Memc[headers] = EOS + if (imtgetim (blist, Memc[bmask], SZ_FNAME) == EOF) + Memc[bmask] = EOS + if (imtgetim (rlist, Memc[rmask], SZ_FNAME) == EOF) + Memc[rmask] = EOS + if (imtgetim (nrlist, Memc[nrmask], SZ_FNAME) == EOF) + Memc[nrmask] = EOS + if (imtgetim (elist, Memc[emask], SZ_FNAME) == EOF) + Memc[emask] = EOS + if (imtgetim (slist, Memc[sigma], SZ_FNAME) == EOF) + Memc[sigma] = EOS + + # Set the input list and initialize the scaling factors. + if (project) { + im = immap (Memc[fname], READ_ONLY, 0) + if (IM_NDIM(im) == 1) + n = 0 + else + n = IM_LEN(im,IM_NDIM(im)) + call imunmap (im) + if (n == 0) { + call sprintf (Memc[output], SZ_FNAME, + "IMCOMBINE: Can't project one dimensional image %s") + call pargstr (Memc[fname]) + call error (1, Memc[output]) + } + input = imtopen (Memc[fname]) + } else { + call imtrew (ilist) + n = imtlen (ilist) + input = ilist + } + + # Allocate and initialize scaling factors. + call malloc (scales, 3*n, TY_REAL) + zeros = scales + n + wts = scales + 2 * n + call amovkr (INDEFR, Memr[scales], 3*n) + + call icombine (input, Memc[output], Memc[headers], Memc[bmask], + Memc[rmask], Memc[nrmask], Memc[emask], Memc[sigma], + Memc[logfile], Memr[scales], Memr[zeros], Memr[wts], + NO, NO, NO) + + } then + call erract (EA_WARN) + + if (input != ilist) + call imtclose (input) + call mfree (scales, TY_REAL) + if (!project) + break + } + + call imtclose (ilist) + call imtclose (olist) + call imtclose (hlist) + call imtclose (blist) + call imtclose (rlist) + call imtclose (nrlist) + call imtclose (elist) + call imtclose (slist) + call sfree (sp) +end diff --git a/pkg/images/immatch/src/imcombine/x_imcombine.x b/pkg/images/immatch/src/imcombine/x_imcombine.x new file mode 100644 index 00000000..a85e34f6 --- /dev/null +++ b/pkg/images/immatch/src/imcombine/x_imcombine.x @@ -0,0 +1 @@ +task imcombine = t_imcombine |