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include <mach.h>
include "mimstat.h"
# MST_ALLOCATE -- Allocate space for the statistics structure.
procedure mst_allocate (mst)
pointer mst #O the statistics descriptor
begin
call calloc (mst, LEN_MIMSTAT, TY_STRUCT)
call malloc (MIS_SW(mst), LEN_NSWITCHES, TY_INT)
end
# MST_FREE -- Free the statistics structure.
procedure mst_free (mst)
pointer mst #O the statistics descriptor
begin
call mfree (MIS_SW(mst), TY_INT)
call mfree (mst, TY_STRUCT)
end
# MST_FIELDS -- Procedure to decode the fields string into a list of the
# fields to be computed and printed.
int procedure mst_fields (fieldstr, fields, max_nfields)
char fieldstr[ARB] #I string containing the list of fields
int fields[ARB] #O fields array
int max_nfields #I maximum number of fields
int nfields, flist, field
pointer sp, fname
int fntopnb(), fntgfnb(), strdic()
begin
nfields = 0
call smark (sp)
call salloc (fname, SZ_FNAME, TY_CHAR)
flist = fntopnb (fieldstr, NO)
while (fntgfnb (flist, Memc[fname], SZ_FNAME) != EOF &&
(nfields < max_nfields)) {
field = strdic (Memc[fname], Memc[fname], SZ_FNAME, MIS_FIELDS)
if (field == 0)
next
nfields = nfields + 1
fields[nfields] = field
}
call fntclsb (flist)
call sfree (sp)
return (nfields)
end
# MST_SWITCHES -- Set the processing switches.
procedure mst_switches (mst, fields, nfields, nclip)
pointer mst #I the statistics pointer
int fields[ARB] #I fields array
int nfields #I maximum number of fields
int nclip #I the number of clipping iterations
pointer sw
int mst_isfield()
begin
# Initialize.
sw = MIS_SW(mst)
call amovki (NO, Memi[sw], LEN_NSWITCHES)
# Set the computation switches.
MIS_SNPIX(sw) = mst_isfield (MIS_FNPIX, fields, nfields)
MIS_SMEAN(sw) = mst_isfield (MIS_FMEAN, fields, nfields)
MIS_SMEDIAN(sw) = mst_isfield (MIS_FMEDIAN, fields, nfields)
MIS_SMODE(sw) = mst_isfield (MIS_FMODE, fields, nfields)
if (nclip > 0)
MIS_SSTDDEV(sw) = YES
else
MIS_SSTDDEV(sw) = mst_isfield (MIS_FSTDDEV, fields, nfields)
MIS_SSKEW(sw) = mst_isfield (MIS_FSKEW, fields, nfields)
MIS_SKURTOSIS(sw) = mst_isfield (MIS_FKURTOSIS, fields, nfields)
# Adjust the computation switches.
if (mst_isfield (MIS_FMIN, fields, nfields) == YES)
MIS_SMINMAX(sw) = YES
else if (mst_isfield (MIS_FMAX, fields, nfields) == YES)
MIS_SMINMAX(sw) = YES
else if (MIS_SMEDIAN(sw) == YES || MIS_SMODE(sw) == YES)
MIS_SMINMAX(sw) = YES
else
MIS_SMINMAX(sw) = NO
end
# MST_PHEADER -- Print the banner fields.
procedure mst_pheader (fields, nfields)
int fields[ARB] # fields to be printed
int nfields # number of fields
int i
begin
call printf ("#")
do i = 1, nfields {
switch (fields[i]) {
case MIS_FIMAGE:
call printf (MIS_FSTRING)
call pargstr (MIS_KIMAGE)
case MIS_FMASK:
call printf (MIS_FSTRING)
call pargstr (MIS_KMASK)
case MIS_FNPIX:
call printf (MIS_FCOLUMN)
call pargstr (MIS_KNPIX)
case MIS_FMIN:
call printf (MIS_FCOLUMN)
call pargstr (MIS_KMIN)
case MIS_FMAX:
call printf (MIS_FCOLUMN)
call pargstr (MIS_KMAX)
case MIS_FMEAN:
call printf (MIS_FCOLUMN)
call pargstr (MIS_KMEAN)
case MIS_FMEDIAN:
call printf (MIS_FCOLUMN)
call pargstr (MIS_KMEDIAN)
case MIS_FMODE:
call printf (MIS_FCOLUMN)
call pargstr (MIS_KMODE)
case MIS_FSTDDEV:
call printf (MIS_FCOLUMN)
call pargstr (MIS_KSTDDEV)
case MIS_FSKEW:
call printf (MIS_FCOLUMN)
call pargstr (MIS_KSKEW)
case MIS_FKURTOSIS:
call printf (MIS_FCOLUMN)
call pargstr (MIS_KKURTOSIS)
}
}
call printf ("\n")
call flush (STDOUT)
end
# MST_ISFIELD -- Procedure to determine whether a specified field is one
# of the selected fields or not.
int procedure mst_isfield (field, fields, nfields)
int field #I field to be tested
int fields[ARB] #I array of selected fields
int nfields #I number of fields
int i, isfield
begin
isfield = NO
do i = 1, nfields {
if (field != fields[i])
next
isfield = YES
break
}
return (isfield)
end
# MST_INITIALIZE -- Initialize the statistics computation.
procedure mst_initialize (mst, lower, upper)
pointer mst #I pointer to the statistics structure
real lower #I lower good data limit
real upper #I upper good data limit
begin
if (IS_INDEFR(lower))
MIS_LO(mst) = -MAX_REAL
else
MIS_LO(mst) = lower
if (IS_INDEFR(upper))
MIS_HI(mst) = MAX_REAL
else
MIS_HI(mst) = upper
MIS_NPIX(mst) = 0
MIS_SUMX(mst) = 0.0d0
MIS_SUMX2(mst) = 0.0d0
MIS_SUMX3(mst) = 0.0d0
MIS_SUMX4(mst) = 0.0d0
MIS_MIN(mst) = MAX_REAL
MIS_MAX(mst) = -MAX_REAL
MIS_MEAN(mst) = INDEFR
MIS_MEDIAN(mst) = INDEFR
MIS_MODE(mst) = INDEFR
MIS_STDDEV(mst) = INDEFR
MIS_SKEW(mst) = INDEFR
MIS_KURTOSIS(mst) = INDEFR
end
# MST_ACCUMULATE4 -- Accumulate sums up to the fourth power of the data for
# data values between lower and upper.
procedure mst_accumulate4 (mst, x, npts, lower, upper, minmax)
pointer mst #I pointer to the statistics structure
real x[ARB] #I the data array
int npts #I the number of data points
real lower #I lower data boundary
real upper #I upper data boundary
int minmax #I compute the minimum and maximum ?
double xx, xx2, sumx, sumx2, sumx3, sumx4
real lo, hi, xmin, xmax
int i, npix
begin
lo = MIS_LO(mst)
hi = MIS_HI(mst)
npix = MIS_NPIX(mst)
sumx = 0.0
sumx2 = 0.0
sumx3 = 0.0
sumx4 = 0.0
xmin = MIS_MIN(mst)
xmax = MIS_MAX(mst)
if (IS_INDEFR(lower) && IS_INDEFR(upper)) {
npix = npix + npts
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
xx2 = xx * xx
sumx = sumx + xx
sumx2 = sumx2 + xx2
sumx3 = sumx3 + xx2 * xx
sumx4 = sumx4 + xx2 * xx2
}
} else {
do i = 1, npts {
xx = x[i]
xx2 = xx * xx
sumx = sumx + xx
sumx2 = sumx2 + xx2
sumx3 = sumx3 + xx2 * xx
sumx4 = sumx4 + xx2 * xx2
}
}
} else {
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
npix = npix + 1
xx2 = xx * xx
sumx = sumx + xx
sumx2 = sumx2 + xx2
sumx3 = sumx3 + xx2 * xx
sumx4 = sumx4 + xx2 * xx2
}
} else {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
npix = npix + 1
xx2 = xx * xx
sumx = sumx + xx
sumx2 = sumx2 + xx2
sumx3 = sumx3 + xx2 * xx
sumx4 = sumx4 + xx2 * xx2
}
}
}
MIS_NPIX(mst) = npix
MIS_SUMX(mst) = MIS_SUMX(mst) + sumx
MIS_SUMX2(mst) = MIS_SUMX2(mst) + sumx2
MIS_SUMX3(mst) = MIS_SUMX3(mst) + sumx3
MIS_SUMX4(mst) = MIS_SUMX4(mst) + sumx4
MIS_MIN(mst) = xmin
MIS_MAX(mst) = xmax
end
# MST_ACCUMULATE3 -- Accumulate sums up to the third power of the data for
# data values between lower and upper.
procedure mst_accumulate3 (mst, x, npts, lower, upper, minmax)
pointer mst #I pointer to the statistics structure
real x[ARB] #I the data array
int npts #I the number of data points
real lower #I lower data boundary
real upper #I upper data boundary
int minmax #I compute the minimum and maximum ?
double xx, xx2, sumx, sumx2, sumx3
real lo, hi, xmin, xmax
int i, npix
begin
lo = MIS_LO(mst)
hi = MIS_HI(mst)
npix = MIS_NPIX(mst)
sumx = 0.0
sumx2 = 0.0
sumx3 = 0.0
xmin = MIS_MIN(mst)
xmax = MIS_MAX(mst)
if (IS_INDEFR(lower) && IS_INDEFR(upper)) {
npix = npix + npts
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
xx2 = xx * xx
sumx = sumx + xx
sumx2 = sumx2 + xx2
sumx3 = sumx3 + xx2 * xx
}
} else {
do i = 1, npts {
xx = x[i]
xx2 = xx * xx
sumx = sumx + xx
sumx2 = sumx2 + xx2
sumx3 = sumx3 + xx2 * xx
}
}
} else {
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
npix = npix + 1
xx2 = xx * xx
sumx = sumx + xx
sumx2 = sumx2 + xx2
sumx3 = sumx3 + xx2 * xx
}
} else {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
npix = npix + 1
xx2 = xx * xx
sumx = sumx + xx
sumx2 = sumx2 + xx2
sumx3 = sumx3 + xx2 * xx
}
}
}
MIS_NPIX(mst) = npix
MIS_SUMX(mst) = MIS_SUMX(mst) + sumx
MIS_SUMX2(mst) = MIS_SUMX2(mst) + sumx2
MIS_SUMX3(mst) = MIS_SUMX3(mst) + sumx3
MIS_MIN(mst) = xmin
MIS_MAX(mst) = xmax
end
# MST_ACCUMULATE2 -- Accumulate sums up to the second power of the data for
# data values between lower and upper.
procedure mst_accumulate2 (mst, x, npts, lower, upper, minmax)
pointer mst #I pointer to the statistics structure
real x[ARB] #I the data array
int npts #I the number of data points
real lower #I lower data boundary
real upper #I upper data boundary
int minmax #I compute the minimum and maximum ?
double xx, sumx, sumx2
real lo, hi, xmin, xmax
int i, npix
begin
lo = MIS_LO(mst)
hi = MIS_HI(mst)
npix = MIS_NPIX(mst)
sumx = 0.0
sumx2 = 0.0
xmin = MIS_MIN(mst)
xmax = MIS_MAX(mst)
if (IS_INDEFR(lower) && IS_INDEFR(upper)) {
npix = npix + npts
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
sumx = sumx + xx
sumx2 = sumx2 + xx * xx
}
} else {
do i = 1, npts {
xx = x[i]
sumx = sumx + xx
sumx2 = sumx2 + xx * xx
}
}
} else {
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
npix = npix + 1
sumx = sumx + xx
sumx2 = sumx2 + xx * xx
}
} else {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
npix = npix + 1
sumx = sumx + xx
sumx2 = sumx2 + xx * xx
}
}
}
MIS_NPIX(mst) = npix
MIS_SUMX(mst) = MIS_SUMX(mst) + sumx
MIS_SUMX2(mst) = MIS_SUMX2(mst) + sumx2
MIS_MIN(mst) = xmin
MIS_MAX(mst) = xmax
end
# MST_ACCUMULATE1 -- Accumulate sums up to the first power of the data for
# data values between lower and upper.
procedure mst_accumulate1 (mst, x, npts, lower, upper, minmax)
pointer mst #I pointer to the statistics structure
real x[ARB] #I the data array
int npts #I the number of data points
real lower #I lower data boundary
real upper #I upper data boundary
int minmax #I compute the minimum and maximum ?
double sumx
real lo, hi, xx, xmin, xmax
int i, npix
begin
lo = MIS_LO(mst)
hi = MIS_HI(mst)
npix = MIS_NPIX(mst)
sumx = 0.0
xmin = MIS_MIN(mst)
xmax = MIS_MAX(mst)
if (IS_INDEFR(lower) && IS_INDEFR(upper)) {
npix = npix + npts
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
sumx = sumx + xx
}
} else {
do i = 1, npts
sumx = sumx + x[i]
}
} else {
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
npix = npix + 1
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
sumx = sumx + xx
}
} else {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
npix = npix + 1
sumx = sumx + xx
}
}
}
MIS_NPIX(mst) = npix
MIS_SUMX(mst) = MIS_SUMX(mst) + sumx
MIS_MIN(mst) = xmin
MIS_MAX(mst) = xmax
end
# MST_ACCUMULATE0 -- Accumulate sums up to the 0th power of the data for
# data values between lower and upper.
procedure mst_accumulate0 (mst, x, npts, lower, upper, minmax)
pointer mst #I pointer to the statistics structure
real x[ARB] #I the data array
int npts #I the number of data points
real lower #I lower data boundary
real upper #I upper data boundary
int minmax #I compute the minimum and maximum ?
int i, npix
real lo, hi, xx, xmin, xmax
begin
lo = MIS_LO(mst)
hi = MIS_HI(mst)
npix = MIS_NPIX(mst)
xmin = MIS_MIN(mst)
xmax = MIS_MAX(mst)
if (IS_INDEFR(lower) && IS_INDEFR(upper)) {
npix = npix + npts
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
}
}
} else {
if (minmax == YES) {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
npix = npix + 1
if (xx < xmin)
xmin = xx
if (xx > xmax)
xmax = xx
}
} else {
do i = 1, npts {
xx = x[i]
if (xx < lo || xx > hi)
next
npix = npix + 1
}
}
}
MIS_NPIX(mst) = npix
MIS_MIN(mst) = xmin
MIS_MAX(mst) = xmax
end
# MST_STATS -- Procedure to compute the first four central moments of the
# distribution.
procedure mst_stats (mst)
pointer mst #I statistics structure
double mean, var, stdev
pointer sw
bool fp_equalr()
begin
sw = MIS_SW(mst)
# Compute the basic statistics regardless of the switches.
if (fp_equalr (MIS_MIN(mst), MAX_REAL))
MIS_MIN(mst) = INDEFR
if (fp_equalr (MIS_MAX(mst), -MAX_REAL))
MIS_MAX(mst) = INDEFR
if (MIS_NPIX(mst) <= 0)
return
mean = MIS_SUMX(mst) / MIS_NPIX(mst)
MIS_MEAN(mst) = mean
if (MIS_NPIX(mst) < 2)
return
var = (MIS_SUMX2(mst) - MIS_SUMX(mst) * mean) /
(MIS_NPIX(mst) - 1)
if (var <= 0.0) {
MIS_STDDEV(mst) = 0.0
return
} else {
stdev = sqrt (var)
MIS_STDDEV(mst) = stdev
}
# Compute higher order moments if the switches are set.
if (MIS_SSKEW(sw)== YES)
MIS_SKEW(mst) = (MIS_SUMX3(mst) - 3.0d0 * MIS_MEAN(mst) *
MIS_SUMX2(mst) + 3.0d0 * mean * mean *
MIS_SUMX(mst) - MIS_NPIX(mst) * mean ** 3) /
MIS_NPIX(mst) / stdev / stdev / stdev
if (MIS_SKURTOSIS(sw) == YES)
MIS_KURTOSIS(mst) = (MIS_SUMX4(mst) - 4.0d0 * mean *
MIS_SUMX3(mst) + 6.0d0 * mean * mean *
MIS_SUMX2(mst) - 4.0 * mean ** 3 * MIS_SUMX(mst) +
MIS_NPIX(mst) * mean ** 4) / MIS_NPIX(mst) /
stdev / stdev / stdev / stdev - 3.0d0
end
# MST_IHIST -- Initilaize the histogram of the image pixels.
int procedure mst_ihist (mst, binwidth, hgm, nbins, hwidth, hmin, hmax)
pointer mst #I pointer to the statistics structure
real binwidth #I histogram bin width in sigma
pointer hgm #O pointer to the histogram
int nbins #O number of bins
real hwidth #O histogram resolution
real hmin #O minimum histogram value
real hmax #O maximum histogram value
begin
nbins = 0
if (binwidth <= 0.0)
return (NO)
hwidth = binwidth * MIS_STDDEV(mst)
if (hwidth <= 0.0)
return (NO)
nbins = (MIS_MAX(mst) - MIS_MIN(mst)) / hwidth + 1
if (nbins < 3)
return (NO)
hmin = MIS_MIN(mst)
hmax = MIS_MAX(mst)
call malloc (hgm, nbins, TY_INT)
return (YES)
end
# MST_HMEDIAN -- Estimate the median from the histogram.
procedure mst_hmedian (mst, hgm, nbins, hwidth, hmin, hmax)
pointer mst #I pointer to the statistics structure
int hgm[ARB] #I histogram of the pixels
int nbins #I number of bins in the histogram
real hwidth #I resolution of the histogram
real hmin #I minimum histogram value
real hmax #I maximum histogram value
real h1, hdiff, hnorm
pointer sp, ihgm
int i, lo, hi
bool fp_equalr()
begin
call smark (sp)
call salloc (ihgm, nbins, TY_REAL)
# Integrate the histogram and normalize.
Memr[ihgm] = hgm[1]
do i = 2, nbins
Memr[ihgm+i-1] = hgm[i] + Memr[ihgm+i-2]
hnorm = Memr[ihgm+nbins-1]
call adivkr (Memr[ihgm], hnorm, Memr[ihgm], nbins)
# Initialize the low and high bin numbers.
lo = 0
hi = 1
# Search for the point which divides the integral in half.
do i = 1, nbins {
if (Memr[ihgm+i-1] > 0.5)
break
lo = i
}
hi = lo + 1
# Approximate the median.
h1 = hmin + lo * hwidth
if (lo == 0)
hdiff = Memr[ihgm+hi-1]
else
hdiff = Memr[ihgm+hi-1] - Memr[ihgm+lo-1]
if (fp_equalr (hdiff, 0.0))
MIS_MEDIAN(mst) = h1
else if (lo == 0)
MIS_MEDIAN(mst) = h1 + 0.5 / hdiff * hwidth
else
MIS_MEDIAN(mst) = h1 + (0.5 - Memr[ihgm+lo-1]) / hdiff * hwidth
call sfree (sp)
end
# MST_HMODE -- Procedure to compute the mode.
procedure mst_hmode (mst, hgm, nbins, hwidth, hmin, hmax)
pointer mst #I pointer to the statistics strucuture
int hgm[ARB] #I histogram of the pixels
int nbins #I number of bins in the histogram
real hwidth #I resolution of the histogram
real hmin #I minimum histogram value
real hmax #I maximum histogram value
int i, bpeak
real hpeak, dh1, dh2, denom
bool fp_equalr()
begin
# If there is a single bin return the midpoint of that bin.
if (nbins == 1) {
MIS_MODE(mst) = hmin + 0.5 * hwidth
return
}
# If there are two bins return the midpoint of the greater bin.
if (nbins == 2) {
if (hgm[1] > hgm[2])
MIS_MODE(mst) = hmin + 0.5 * hwidth
else if (hgm[2] > hgm[1])
MIS_MODE(mst) = hmin + 1.5 * hwidth
else
MIS_MODE(mst) = hmin + hwidth
return
}
# Find the bin containing the histogram maximum.
hpeak = hgm[1]
bpeak = 1
do i = 2, nbins {
if (hgm[i] > hpeak) {
hpeak = hgm[i]
bpeak = i
}
}
# If the maximum is in the first bin return the midpoint of the bin.
if (bpeak == 1) {
MIS_MODE(mst) = hmin + 0.5 * hwidth
return
}
# If the maximum is in the last bin return the midpoint of the bin.
if (bpeak == nbins) {
MIS_MODE(mst) = hmin + (nbins - 0.5) * hwidth
return
}
# Compute the lower limit of bpeak.
bpeak = bpeak - 1
# Do a parabolic interpolation to find the peak.
dh1 = hgm[bpeak+1] - hgm[bpeak]
dh2 = hgm[bpeak+1] - hgm[bpeak+2]
denom = dh1 + dh2
if (fp_equalr (denom, 0.0)) {
MIS_MODE(mst) = hmin + (bpeak + 0.5) * hwidth
} else {
MIS_MODE(mst) = bpeak + 1 + 0.5 * (dh1 - dh2) / denom
MIS_MODE(mst) = hmin + (MIS_MODE(mst) - 0.5) * hwidth
}
#dh1 = hgm[bpeak] * (hmin + (bpeak - 0.5) * hwidth) +
#hgm[bpeak+1] * (hmin + (bpeak + 0.5) * hwidth) +
#hgm[bpeak+2] * (hmin + (bpeak + 1.5) * hwidth)
#dh2 = hgm[bpeak] + hgm[bpeak+1] + hgm[bpeak+2]
end
# MST_PRINT -- Print the fields using builtin format strings.
procedure mst_print (image, mask, mst, fields, nfields)
char image[ARB] #I image name
char mask[ARB] #I mask name
pointer mst #I pointer to the statistics structure
int fields[ARB] #I fields to be printed
int nfields #I number of fields
int i
begin
call printf (" ")
do i = 1, nfields {
switch (fields[i]) {
case MIS_FIMAGE:
call printf (MIS_FSTRING)
call pargstr (image)
case MIS_FMASK:
call printf (MIS_FSTRING)
call pargstr (mask)
case MIS_FNPIX:
call printf (MIS_FINTEGER)
call pargi (MIS_NPIX(mst))
case MIS_FMIN:
call printf (MIS_FREAL)
call pargr (MIS_MIN(mst))
case MIS_FMAX:
call printf (MIS_FREAL)
call pargr (MIS_MAX(mst))
case MIS_FMEAN:
call printf (MIS_FREAL)
call pargr (MIS_MEAN(mst))
case MIS_FMEDIAN:
call printf (MIS_FREAL)
call pargr (MIS_MEDIAN(mst))
case MIS_FMODE:
call printf (MIS_FREAL)
call pargr (MIS_MODE(mst))
case MIS_FSTDDEV:
call printf (MIS_FREAL)
call pargr (MIS_STDDEV(mst))
case MIS_FSKEW:
call printf (MIS_FREAL)
call pargr (MIS_SKEW(mst))
case MIS_FKURTOSIS:
call printf (MIS_FREAL)
call pargr (MIS_KURTOSIS(mst))
}
}
call printf ("\n")
call flush (STDOUT)
end
# MST_FPRINT -- Print the fields using a free format.
procedure mst_fprint (image, mask, mst, fields, nfields)
char image[ARB] #I image name
char mask[ARB] #I mask name
pointer mst #I pointer to the statistics structure
int fields[ARB] #I fields to be printed
int nfields #I number of fields
int i
begin
do i = 1, nfields {
switch (fields[i]) {
case MIS_FIMAGE:
call printf ("%s")
call pargstr (image)
case MIS_FMASK:
call printf ("%s")
call pargstr (mask)
case MIS_FNPIX:
call printf ("%d")
call pargi (MIS_NPIX(mst))
case MIS_FMIN:
call printf ("%g")
call pargr (MIS_MIN(mst))
case MIS_FMAX:
call printf ("%g")
call pargr (MIS_MAX(mst))
case MIS_FMEAN:
call printf ("%g")
call pargr (MIS_MEAN(mst))
case MIS_FMEDIAN:
call printf ("%g")
call pargr (MIS_MEDIAN(mst))
case MIS_FMODE:
call printf ("%g")
call pargr (MIS_MODE(mst))
case MIS_FSTDDEV:
call printf ("%g")
call pargr (MIS_STDDEV(mst))
case MIS_FSKEW:
call printf ("%g")
call pargr (MIS_SKEW(mst))
case MIS_FKURTOSIS:
call printf ("%g")
call pargr (MIS_KURTOSIS(mst))
}
if (i < nfields)
call printf (" ")
}
call printf ("\n")
call flush (STDOUT)
end
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