26#include "../hdrl_cat_apio.h"
27#include "../hdrl_cat_areals.h"
28#include "../hdrl_cat_conf.h"
29#include "../hdrl_cat_moments.h"
30#include "../hdrl_cat_overlp.h"
36#define CENTER_IMAGE 256
39void standard_test(
void)
42 double xpos[] = { 100., 200., 300., 400., 500., 600., 700., 800., 900., 1000.};
43 double ypos[] = { 100., 200., 300., 400., 500., 600., 700., 800., 900., 1000.};
44 double norm[] = {1000., 100., 200., 500., 550., 600., 650., 700., 750., 800.};
47 cpl_image *im = cpl_image_new(1024, 1024, CPL_TYPE_DOUBLE);
48 cpl_image *bkg = cpl_image_new(1024, 1024, CPL_TYPE_DOUBLE);
49 cpl_image *cnf = cpl_image_new(1024, 1024, CPL_TYPE_DOUBLE);
51 cpl_image_fill_noise_uniform(bkg, -10., 10. );
52 cpl_image_fill_noise_uniform(cnf, 99.9, 100.1);
59 double norm2 = 2. * CPL_MATH_PI * sigma * sigma;
62 cpl_image_add_scalar(bkg, sky);
64 for (cpl_size i = 0; i < NTEST; i++) {
65 cpl_image_fill_gaussian(im, xpos[i], ypos[i], norm[i] * norm2, sigma, sigma);
66 cpl_image_add(bkg, im);
70 hdrl_casu_result *res = cpl_calloc(1,
sizeof(hdrl_casu_result));
77 cpl_test_eq(
hdrl_catalogue_conf(infErr, NULL, ipix, 2.5, icrowd, 5., 1, 64, 6, 3., 1., INFINITY, res), CPL_ERROR_NONE);
78 cpl_test_nonnull( res->catalogue);
80 cpl_image_delete( res->segmentation_map);
81 cpl_image_delete( res->background);
86 cpl_test_eq(
hdrl_catalogue_conf(infErr, inconf, ipix, 2.5, icrowd, 5., 1, 64, 6, 3., 1., INFINITY, res), CPL_ERROR_NONE);
87 cpl_test_nonnull( res->catalogue);
89 cpl_image_delete( res->segmentation_map);
90 cpl_image_delete( res->background);
95 cpl_test_eq(
hdrl_catalogue_conf(infErr, NULL, ipix, 2.5, icrowd, 5., 1, 64, 6, 3., 1., INFINITY, res), CPL_ERROR_NONE);
96 cpl_test_nonnull( res->catalogue);
98 cpl_image_delete( res->segmentation_map);
99 cpl_image_delete( res->background);
104 cpl_test_eq(
hdrl_catalogue_conf(infErr, inconf, ipix, 2.5, icrowd, 5., 1, 64, 6, 3., 1., INFINITY, res), CPL_ERROR_NONE);
105 cpl_test_nonnull( res->catalogue);
107 cpl_image_delete( res->segmentation_map);
108 cpl_image_delete( res->background);
113 cpl_test_eq(
hdrl_catalogue_conf(inf, NULL, ipix, 1.5, icrowd, 5., 1, 64, 6, 3., 1., INFINITY, res), CPL_ERROR_NONE);
114 cpl_test_nonnull( res->catalogue);
116 cpl_image_delete( res->segmentation_map);
117 cpl_image_delete( res->background);
122 cpl_test_eq(
hdrl_catalogue_conf(inf, inconf, ipix, 1.5, icrowd, 5., 1, 64, 6, 3., 1., INFINITY, res), CPL_ERROR_NONE);
123 cpl_test_nonnull( res->catalogue);
125 cpl_image_delete( res->segmentation_map);
126 cpl_image_delete( res->background);
131 cpl_test_eq(
hdrl_catalogue_conf(inf, NULL, ipix, 1.5, icrowd, 5., 1, 64, 6, 3., 1., INFINITY, res), CPL_ERROR_NONE);
132 cpl_test_nonnull( res->catalogue);
134 cpl_image_delete( res->segmentation_map);
135 cpl_image_delete( res->background);
140 cpl_test_eq(
hdrl_catalogue_conf(inf, inconf, ipix, 1.5, icrowd, 5., 1, 64, 6, 3., 1., INFINITY, res), CPL_ERROR_NONE);
141 cpl_test_nonnull( res->catalogue);
143 cpl_image_delete( res->segmentation_map);
144 cpl_image_delete( res->background);
153void advanced_test(
void)
155 cpl_size x[] = {398,399,400,397,398,399,400,401,402,403,396,397,398,399,400,
156 401,402,403,404,395,396,397,398,399,400,401,402,403,404,405,
157 395,396,397,398,399,400,401,402,403,404,405,395,396,397,398,
158 399,400,401,402,403,404,405,395,396,397,398,399,400,401,402,
159 403,404,405,406,395,396,397,398,399,400,401,402,403,404,405,
160 395,396,397,398,399,400,401,402,403,404,405,395,396,397,398,
161 399,400,401,402,403,404,405,396,397,398,399,400,401,402,403,
162 404,397,398,399,400,401,402,403,398,399,400,401};
164 cpl_size y[] = {394,394,394,395,395,395,395,395,395,395,396,396,396,396,396,
165 396,396,396,396,397,397,397,397,397,397,397,397,397,397,397,
166 398,398,398,398,398,398,398,398,398,398,398,399,399,399,399,
167 399,399,399,399,399,399,399,400,400,400,400,400,400,400,400,
168 400,400,400,400,401,401,401,401,401,401,401,401,401,401,401,
169 402,402,402,402,402,402,402,402,402,402,402,403,403,403,403,
170 403,403,403,403,403,403,403,404,404,404,404,404,404,404,404,
171 404,405,405,405,405,405,405,405,406,406,406,406};
173 double z[] = {8.87152,12.515,7.69699,10.8527,22.2509,21.7368,13.0388,
174 12.1853,17.1976,7.43948,15.2245,29.1964,37.9117,57.9371,
175 71.5542,57.1288,34.7726,15.5934,11.5374,15.995,21.3606,
176 60.4006,103.46,147.55,168.274,147.476,98.9157,51.7186,20.188,
177 3.04248,5.77832,49.3103,98.2057,187.557,268.353,310.638,
178 274.295,183.969,94.6933,47.9889,20.245,26.3758,59.1781,
179 152.389,275.916,395.107,450.251,397.53,272.322,147.053,54.767,
180 11.8971,13.3888,73.3689,165.899,298.455,449.707,493.25,441.585,
181 299.31,157.474,70.1224,15.5313,8.76074,20.7188,54.5798,141.249,
182 264.87,382.736,435.452,393.871,268.175,138.485,65.9307,28.7812,
183 19.379,36.6449,93.5458,186.823,270.95,305.093,260.879,183.683,
184 100.676,32.6281,16.6497,5.94965,17.8105,57.256,106.32,145.264,
185 164.271,137.093,88.9384,60.7841,31.8582,10.0435,4.69162,
186 15.2187,32.5385,61.0381,74.5399,67.3727,43.3964,25.0956,
187 16.7595,-0.37323,21.3832,19.2497,18.5883,9.37448,19.6048,
188 11.5006,13.0159,14.5852,13.66,-1.04889};
193 ap.lsiz = SIZE_IMAGE;
194 ap.csiz = SIZE_IMAGE;
196 ap.inframe = cpl_image_new(SIZE_IMAGE, SIZE_IMAGE, CPL_TYPE_DOUBLE);
197 ap.conframe = cpl_image_new(SIZE_IMAGE, SIZE_IMAGE, CPL_TYPE_DOUBLE);
204 ap.plarray = cpl_realloc(ap.plarray, NT *
sizeof(*ap.plarray));
205 for (cpl_size i = 0; i < NT; i++) {
206 ap.plarray[i].x = x[i];
207 ap.plarray[i].y = y[i];
208 ap.plarray[i].z = z[i];
209 ap.plarray[i].zsm = z[i];
213 ap.areal_offset = 3.47165;
218 cpl_size iareal[NAREAL];
221 ap.indata = cpl_image_get_data_double(ap.inframe);
222 ap.confdata = cpl_image_get_data_double(ap.conframe);
223 ap.mflag = cpl_calloc(2048 * 2048,
sizeof(*ap.mflag));
227 cpl_image_fill_gaussian(ap.inframe, CENTER_IMAGE, CENTER_IMAGE, tmax, 10., 10.);
228 cpl_image_fill_gaussian(ap.conframe, CENTER_IMAGE, CENTER_IMAGE, tmax, 100., 100.);
231 double momresults[8];
234 double parmall[IMNUM][NPAR];
235 for (cpl_size i = 0; i < IMNUM; i++) {
236 for (cpl_size j = 0; j < NPAR; j++) {
252 momresults[1], momresults[2], momresults[3],
253 iareal[0], momresults[7]);
254 cpl_test_eq(e, CPL_ERROR_NONE);
261 CENTER_IMAGE, CENTER_IMAGE, momresults[3],
262 SIZE_IMAGE * SIZE_IMAGE, tmax);
263 cpl_test_eq(e, CPL_ERROR_NONE);
268 ap.areal_offset = 1.5;
272 for (cpl_size i = 0; i < IMNUM; i++) {
273 for (cpl_size j = 0; j < NPAR; j++) {
274 parmall[i][j] = tmax;
280 CENTER_IMAGE, CENTER_IMAGE, momresults[3],
281 SIZE_IMAGE * SIZE_IMAGE, tmax);
282 cpl_test_eq(e, CPL_ERROR_NONE);
286 CENTER_IMAGE, CENTER_IMAGE, momresults[3],
287 SIZE_IMAGE * SIZE_IMAGE, 1, 1, 1);
288 cpl_test_eq(e, CPL_ERROR_NONE);
294 cpl_image_delete(ap.inframe);
295 cpl_image_delete(ap.conframe);
301 cpl_test_init(PACKAGE_BUGREPORT, CPL_MSG_WARNING);
306 return cpl_test_end(0);
cpl_error_code hdrl_catalogue_conf(hdrl_casu_fits *infile, hdrl_casu_fits *conf, cpl_size ipix, double threshold, cpl_size icrowd, double rcore, cpl_size bkg_subtr, cpl_size nbsize, cpl_size cattype, double filtfwhm, double gain, double saturation, hdrl_casu_result *res)
Do source extraction.
void hdrl_apinit(ap_t *ap)
Initialize the ap structure.
void hdrl_apclose(ap_t *ap)
Close ap structure.
void hdrl_areals(ap_t *ap, cpl_size iareal[NAREAL])
Work out the areal profiles for an object.
hdrl_casu_fits * hdrl_casu_fits_wrap(cpl_image *im)
Wrap an image in a hdrl_casu_fits wrapper.
void hdrl_casu_tfits_delete(hdrl_casu_tfits *p)
Free all the workspace associated with a hdrl_casu_fits object.
void hdrl_casu_fits_delete(hdrl_casu_fits *p)
Free all the workspace associated with a hdrl_casu_fits object.
void hdrl_moments(ap_t *ap, double results[])
Do moments analysis on an object in a Plessey array.
cpl_error_code hdrl_overlp(ap_t *ap, double parm[IMNUM][NPAR], cpl_size *nbit, double xbar, double ybar, double total, cpl_size npix, double tmax)
Deblend overlapping images.
cpl_error_code hdrl_overlp_2orMore(ap_t *ap, double parm[IMNUM][NPAR], cpl_size *nbit, double xbar, double ybar, double total, cpl_size npix, double curthr_prev, double nexthr_prev, double lasthr_prev)
Deblend overlapping images 2 or more. If you know that exist more than 1 (come to the previous versio...