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/*
* image.c
*
* Handle images and image features
*
* (c) 2007 Thomas White <taw27@cam.ac.uk>
*
* dtr - Diffraction Tomography Reconstruction
*
*/
#include <stdlib.h>
#include <assert.h>
#include <math.h>
#include "control.h"
#include "image.h"
#include "utils.h"
int image_add(ImageList *list, uint16_t *image, int width, int height, double tilt, ControlContext *ctx) {
if ( list->images ) {
list->images = realloc(list->images, (list->n_images+1)*sizeof(ImageRecord));
} else {
assert(list->n_images == 0);
list->images = malloc(sizeof(ImageRecord));
}
list->images[list->n_images].tilt = tilt;
list->images[list->n_images].omega = ctx->omega;
list->images[list->n_images].image = image;
list->images[list->n_images].width = width;
list->images[list->n_images].height = height;
list->images[list->n_images].lambda = ctx->lambda;
list->images[list->n_images].fmode = ctx->fmode;
list->images[list->n_images].x_centre = ctx->x_centre;
list->images[list->n_images].y_centre = ctx->y_centre;
list->images[list->n_images].slop = 0.0;
list->images[list->n_images].features = NULL;
if ( ctx->fmode == FORMULATION_PIXELSIZE ) {
list->images[list->n_images].pixel_size = ctx->pixel_size;
list->images[list->n_images].camera_len = 0;
list->images[list->n_images].resolution = 0;
} else if ( ctx->fmode == FORMULATION_CLEN ) {
list->images[list->n_images].pixel_size = 0;
list->images[list->n_images].camera_len = ctx->camera_length;
list->images[list->n_images].resolution = ctx->resolution;
}
list->n_images++;
return list->n_images - 1;
}
ImageList *image_list_new() {
ImageList *list;
list = malloc(sizeof(ImageList));
list->n_images = 0;
list->images = NULL;
return list;
}
void image_add_feature_index(ImageFeatureList *flist, double x, double y, ImageRecord *parent, double intensity,
signed int h, signed int k, signed int l) {
if ( flist->features ) {
flist->features = realloc(flist->features, (flist->n_features+1)*sizeof(ImageFeature));
} else {
assert(flist->n_features == 0);
flist->features = malloc(sizeof(ImageFeature));
}
flist->features[flist->n_features].x = x;
flist->features[flist->n_features].y = y;
flist->features[flist->n_features].intensity = intensity;
flist->features[flist->n_features].parent = parent;
flist->features[flist->n_features].partner = NULL;
flist->features[flist->n_features].partner_d = 0.0;
flist->features[flist->n_features].h = h;
flist->features[flist->n_features].k = k;
flist->features[flist->n_features].l = l;
flist->n_features++;
}
void image_add_feature(ImageFeatureList *flist, double x, double y, ImageRecord *parent, double intensity) {
image_add_feature_index(flist, x, y, parent, intensity, 0, 0, 0);
}
ImageFeatureList *image_feature_list_new() {
ImageFeatureList *flist;
flist = malloc(sizeof(ImageFeatureList));
flist->n_features = 0;
flist->features = NULL;
return flist;
}
void image_feature_list_free(ImageFeatureList *flist) {
if ( !flist ) return;
if ( flist->features ) free(flist->features);
free(flist);
}
ImageFeature *image_feature_closest(ImageFeatureList *flist, double x, double y, double *d) {
int i;
double dmin = +HUGE_VAL;
int closest;
closest = 0;
for ( i=0; i<flist->n_features; i++ ) {
double d;
d = distance(flist->features[i].x, flist->features[i].y, x, y);
if ( d < dmin ) {
dmin = d;
closest = i;
}
}
if ( dmin <= 20.0 ) {
*d = dmin;
return &flist->features[closest];
}
return NULL;
}
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