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/*
* sum_stack.c
*
* Sum a stack of images (e.g. for detector calibration)
*
* (c) 2006-2011 Thomas White <taw@physics.org>
*
* Part of CrystFEL - crystallography with a FEL
*
*/
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif
#include <stdarg.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <unistd.h>
#include <getopt.h>
#include <pthread.h>
#include "utils.h"
#include "hdf5-file.h"
#include "filters.h"
#include "peaks.h"
#include "thread-pool.h"
#define INTEGRATION_RADIUS (10)
typedef enum
{
SUM_THRESHOLD,
SUM_PEAKS
} SumMethod;
struct sum_args
{
char *filename;
int config_cmfilter;
int config_noisefilter;
double *sum;
int w;
int h;
SumMethod sum_method;
double threshold;
double min_gradient;
};
struct queue_args
{
FILE *fh;
int config_cmfilter;
int config_noisefilter;
double *sum;
int w;
int h;
SumMethod sum_method;
double threshold;
double min_gradient;
char *use_this_one_instead;
char *prefix;
int config_basename;
};
static void show_help(const char *s)
{
printf("Syntax: %s [options]\n\n", s);
printf(
"Sum FEL diffraction images.\n"
"\n"
" -h, --help Display this help message.\n"
"\n"
" -i, --input=<filename> Specify file containing list of images to process.\n"
" '-' means stdin, which is the default.\n"
" -o, --output=<filename> Output filename for summed image in HDF5 format.\n"
" Default: summed.h5.\n"
"\n"
" -p, --intermediate=<P> Stem of filename for intermediate images.\n"
" The filename stem <p> will be postfixed with a\n"
" hyphen, the current number of patterns processed\n"
" and '.h5'. Such a pattern will be saved after\n"
" every 1000 input patterns.\n"
" If this option is not specified, no intermediate\n"
" patterns will be saved.\n"
"\n"
" -s, --sum=<method> Use this method for summation. Choose from:\n"
" peaks : sum 10px radius circles around peaks.\n"
" threshold : sum thresholded images.\n"
" -t, --threshold=<n> Set the threshold if summing using the 'threshold'\n"
" method. Default: 400 adu\n"
" --min-gradient=<n> Minimum gradient for Zaefferer peak search.\n"
" Default: 100,000.\n"
"\n"
" --filter-cm Perform common-mode noise subtraction on images\n"
" before proceeding.\n"
" --filter-noise Apply an aggressive noise filter which sets all\n"
" pixels in each 3x3 region to zero if any of them\n"
" have negative values.\n"
"\n"
" -j <n> Run <n> analyses in parallel. Default 1.\n"
" -x, --prefix=<p> Prefix filenames from input file with 'p'.\n");
}
static void sum_peaks(struct image *image, double *sum, double threshold,
double min_gradient)
{
int i;
int w = image->width;
int h = image->height;
const int lim = INTEGRATION_RADIUS * INTEGRATION_RADIUS;
search_peaks(image, threshold, min_gradient);
for ( i=0; i<image_feature_count(image->features); i++ ) {
struct imagefeature *f = image_get_feature(image->features, i);
int pfs, pss;
int fs, ss;
/* This is not an error. */
if ( f == NULL ) continue;
pfs = f->fs;
pss = f->ss;
for ( fs=-INTEGRATION_RADIUS; fs<+INTEGRATION_RADIUS; fs++ ) {
for ( ss=-INTEGRATION_RADIUS; ss<+INTEGRATION_RADIUS; ss++ ) {
/* Circular mask */
if ( fs*fs + ss*ss > lim ) continue;
if ( ((fs+pfs)>=w) || ((fs+pfs)<0) ) continue;
if ( ((ss+pss)>=h) || ((ss+pss)<0) ) continue;
float val = image->data[(fs+pfs)+w*(ss+pss)];
sum[(fs+pfs)+w*(ss+pss)] += val;
}
}
}
}
static void sum_threshold(struct image *image, double *sum, double threshold)
{
int x, y;
for ( x=0; x<image->width; x++ ) {
for ( y=0; y<image->height; y++ ) {
float val = image->data[x+image->width*y];
if ( val > threshold ) {
sum[x+image->width*y] += val;
}
}
}
}
static void add_image(void *args, int cookie)
{
struct sum_args *pargs = args;
struct hdfile *hdfile;
struct image image;
image.features = NULL;
image.data = NULL;
image.flags = NULL;
image.indexed_cell = NULL;
image.filename = pargs->filename;
image.det = NULL;
STATUS("%3i: Processing '%s'\n", cookie, pargs->filename);
hdfile = hdfile_open(pargs->filename);
if ( hdfile == NULL ) {
return;
} else if ( hdfile_set_first_image(hdfile, "/") ) {
ERROR("Couldn't select path\n");
hdfile_close(hdfile);
return;
}
hdf5_read(hdfile, &image, 1);
if ( pargs->config_cmfilter ) {
filter_cm(&image);
}
if ( pargs->config_noisefilter ) {
filter_noise(&image, NULL);
}
if ( (pargs->w != image.width) || (pargs->h != image.height) ) {
ERROR("Wrong image size.\n");
goto out;
}
switch ( pargs->sum_method ) {
case SUM_THRESHOLD :
sum_threshold(&image, pargs->sum, pargs->threshold);
break;
case SUM_PEAKS :
sum_peaks(&image, pargs->sum, pargs->threshold,
pargs->min_gradient);
break;
}
out:
free(image.data);
image_feature_list_free(image.features);
if ( image.flags != NULL ) free(image.flags);
hdfile_close(hdfile);
free(pargs->filename);
free(pargs);
}
static void *get_image(void *qp)
{
char *line;
struct sum_args *pargs;
char *rval;
struct queue_args *qargs = qp;
pargs = malloc(sizeof(struct sum_args));
pargs->w = qargs->w;
pargs->h = qargs->h;
pargs->sum_method = qargs->sum_method;
pargs->threshold = qargs->threshold;
pargs->min_gradient = qargs->min_gradient;
pargs->config_cmfilter = qargs->config_cmfilter;
pargs->config_noisefilter = qargs->config_noisefilter;
pargs->sum = qargs->sum;
/* Get the next filename */
if ( qargs->use_this_one_instead != NULL ) {
line = qargs->use_this_one_instead;
qargs->use_this_one_instead = NULL;
} else {
line = malloc(1024*sizeof(char));
rval = fgets(line, 1023, qargs->fh);
if ( rval == NULL ) {
free(pargs);
return NULL;
}
chomp(line);
}
if ( qargs->config_basename ) {
char *tmp;
tmp = safe_basename(line);
free(line);
line = tmp;
}
pargs->filename = malloc(strlen(qargs->prefix)+strlen(line)+1);
snprintf(pargs->filename, 1023, "%s%s", qargs->prefix, line);
free(line);
return pargs;
}
int main(int argc, char *argv[])
{
int c;
char *filename = NULL;
char *outfile = NULL;
FILE *fh;
int n_images = 0;
int config_cmfilter = 0;
int config_noisefilter = 0;
char *prefix = NULL;
char *sum_str = NULL;
char *intermediate = NULL;
double threshold = 400.0;
float min_gradient = 100000.0;
SumMethod sum;
int nthreads = 1;
struct queue_args qargs;
int n_done;
const int chunk_size = 1000;
struct hdfile *hdfile;
struct image image;
char *prepare_line;
char prepare_filename[1024];
char *rval;
int config_basename = 0;
/* Long options */
const struct option longopts[] = {
{"help", 0, NULL, 'h'},
{"input", 1, NULL, 'i'},
{"output", 1, NULL, 'o'},
{"filter-cm", 0, &config_cmfilter, 1},
{"filter-noise", 0, &config_noisefilter, 1},
{"prefix", 1, NULL, 'x'},
{"sum", 1, NULL, 's'},
{"intermediate", 1, NULL, 'p'},
{"threshold", 1, NULL, 't'},
{"min-gradient", 1, NULL, 4},
{"basename", 0, &config_basename, 1},
{0, 0, NULL, 0}
};
/* Short options */
while ((c = getopt_long(argc, argv, "hi:x:j:o:s:p:t:",
longopts, NULL)) != -1) {
switch (c) {
case 'h' :
show_help(argv[0]);
return 0;
case 'i' :
filename = strdup(optarg);
break;
case 'o' :
outfile = strdup(optarg);
break;
case 'x' :
prefix = strdup(optarg);
break;
case 'j' :
nthreads = atoi(optarg);
break;
case 's' :
sum_str = strdup(optarg);
break;
case 'p' :
intermediate = strdup(optarg);
break;
case 't' :
threshold = atof(optarg);
break;
case 4 :
min_gradient = strtof(optarg, NULL);
break;
case 0 :
break;
default :
return 1;
}
}
if ( filename == NULL ) {
filename = strdup("-");
}
if ( strcmp(filename, "-") == 0 ) {
fh = stdin;
} else {
fh = fopen(filename, "r");
}
if ( fh == NULL ) {
ERROR("Failed to open input file '%s'\n", filename);
return 1;
}
free(filename);
if ( sum_str == NULL ) {
STATUS("You didn't specify a summation method, so I'm using"
" the 'peaks' method, which gives the best results.\n");
sum = SUM_PEAKS;
} else if ( strcmp(sum_str, "peaks") == 0 ) {
sum = SUM_PEAKS;
} else if ( strcmp(sum_str, "threshold") == 0) {
sum = SUM_THRESHOLD;
} else {
ERROR("Unrecognised summation method '%s'\n", sum_str);
return 1;
}
free(sum_str);
if ( prefix == NULL ) {
prefix = strdup("");
}
if ( outfile == NULL ) {
outfile = strdup("summed.h5");
}
if ( nthreads == 0 ) {
ERROR("Invalid number of threads.\n");
return 1;
}
/* Get first filename and use it to set up the summed array */
prepare_line = malloc(1024*sizeof(char));
rval = fgets(prepare_line, 1023, fh);
if ( rval == NULL ) {
ERROR("Failed to get filename to prepare indexing.\n");
return 1;
}
chomp(prepare_line);
if ( config_basename ) {
char *tmp;
tmp = safe_basename(prepare_line);
free(prepare_line);
prepare_line = tmp;
}
snprintf(prepare_filename, 1023, "%s%s", prefix, prepare_line);
qargs.use_this_one_instead = prepare_line;
hdfile = hdfile_open(prepare_filename);
if ( hdfile == NULL ) {
ERROR("Couldn't open '%s'\n", prepare_filename);
return 1;
}
if ( hdf5_read(hdfile, &image, 0) ) {
ERROR("Couldn't read '%s'\n", prepare_filename);
return 1;
}
hdfile_close(hdfile);
qargs.w = image.width;
qargs.h = image.height;
qargs.sum_method = sum;
qargs.threshold = threshold;
qargs.config_basename = config_basename;
qargs.config_cmfilter = config_cmfilter;
qargs.config_noisefilter = config_noisefilter;
qargs.sum = calloc(qargs.w*qargs.h, sizeof(double));
qargs.prefix = prefix;
qargs.fh = fh;
do {
n_done = run_threads(nthreads, add_image, get_image,
(void *)&qargs, NULL, chunk_size, 0, 0, 0);
n_images += n_done;
/* Write intermediate sum if requested */
if ( (intermediate != NULL) && (n_done == chunk_size) ) {
char outfile[1024];
snprintf(outfile, 1023, "%s-%i.h5",
intermediate, n_images);
hdf5_write(outfile, qargs.sum, qargs.w, qargs.h,
H5T_NATIVE_DOUBLE);
}
} while ( n_done == chunk_size );
/* Write the final output */
hdf5_write(outfile, qargs.sum, qargs.w, qargs.h, H5T_NATIVE_DOUBLE);
free(qargs.sum);
free(prefix);
free(outfile);
if ( intermediate != NULL ) free(intermediate);
fclose(fh);
STATUS("There were %i images.\n", n_images);
return 0;
}
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