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|
# Copyright(c) 1986 Association of Universities for Research in Astronomy Inc.
include <imhdr.h>
include "../icombine.h"
define NMAX 10000 # 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()
short ic_modes()
real asums()
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, 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)
}
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 0.8 # 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_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 ic_moder()
real asumr()
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, 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)
}
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 0.8 # 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
|
