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/*
* This file is part of the HDRL
* Copyright (C) 2017 European Southern Observatory
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
*/
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif
/*-----------------------------------------------------------------------------
Includes
-----------------------------------------------------------------------------*/
#include "hdrl_correlation.h"
#include <math.h>
#include <cpl.h>
cpl_array *
create_rect(const cpl_size sz, const cpl_size start, const cpl_size stop){
cpl_array * v = cpl_array_new(sz, CPL_TYPE_DOUBLE);
for(cpl_size i = 0; i < sz; ++i){
double p = 0.0;
if(i >= start && i <= stop)
p = 5.0;
cpl_array_set(v, i, p);
}
return v;
}
cpl_array *
create_gaussian(cpl_size num_samples, const double mean, const double stdev,
const double center, double * delta_out){
cpl_array * v = cpl_array_new(num_samples, CPL_TYPE_DOUBLE);
const double size = 8.0;
const double delta = size * stdev / (double)num_samples;
const double start = -size * .5 * stdev + center;
for(cpl_size i = 0; i < num_samples; ++i){
const double x = delta * ((double)i) + start;
const double val = (x - mean) / stdev;
const double exponential = -.5 * pow(val, 2.0);
const double y = exp(exponential)/(stdev * sqrt(2. * CPL_MATH_PI));
cpl_array_set(v, i, y);
}
*delta_out = delta;
return v;
}
/*----------------------------------------------------------------------------*/
/**
* @defgroup hdrl_correlation_test
*/
/*----------------------------------------------------------------------------*/
void test_shift_pixel_precision(const cpl_size in_shift){
const cpl_size sz = 28;
const cpl_size win = 14;
cpl_array * v1 = create_rect(sz, 3, 5);
cpl_array * v2 = create_rect(sz, 3 + llabs(in_shift), 5 + llabs(in_shift));
if(in_shift < 0){
cpl_array * tmp = v1;
v1 = v2;
v2 = tmp;
}
hdrl_xcorrelation_result * res =
hdrl_compute_xcorrelation(v1, v2, win, CPL_FALSE);
const cpl_size idx = hdrl_xcorrelation_result_get_peak_pixel(res);
const cpl_size shift = idx - win;
const cpl_array * xcorr = hdrl_xcorrelation_result_get_correlation(res);
cpl_test_eq(shift, -in_shift);
if(in_shift == 0){
cpl_test_rel(cpl_array_get(xcorr, idx, NULL),
25.0 * 3.0 /((double)sz), 1e-5);
cpl_test_rel(cpl_array_get(xcorr, idx - 1, NULL),
25.0 * 2.0 /((double)sz - 1.0), 1e-5);
cpl_test_rel(cpl_array_get(xcorr, idx + 1, NULL),
25.0 * 2.0 /((double)sz - 1.0), 1e-5);
cpl_test_rel(cpl_array_get(xcorr, idx - 2, NULL),
25.0 * 1.0 /((double)sz - 2.0), 1e-5);
cpl_test_rel(cpl_array_get(xcorr, idx + 2, NULL),
25.0 * 1.0 /((double)sz - 2.0), 1e-5);
for(cpl_size i = 0; i < win * 2 + 1; i++){
if(i >= idx - 2 && i <= idx + 2) continue;
cpl_test_rel(cpl_array_get(xcorr, i, NULL), 0.0, 1e-5);
}
}
hdrl_xcorrelation_result_delete(res);
cpl_array_delete(v1);
cpl_array_delete(v2);
}
void test_shift_gaussian_fit(const double mean_diff,
const cpl_boolean use_win_refinement){
const double m1 = 1.0;
const double m2 = m1 + mean_diff;
const double std_dev = sqrt(.5);
const cpl_size sz = 100;
cpl_size half_w = 180;
double delta = .0;
cpl_array * arr1 = create_gaussian(sz, m1, std_dev, .5 * (m1 + m2), &delta);
cpl_array * arr2 = create_gaussian(sz, m2, std_dev, .5 * (m1 + m2), &delta);
hdrl_xcorrelation_result * r = NULL;
if(use_win_refinement)
r = hdrl_compute_offset_gaussian(arr1, arr2,
half_w, CPL_TRUE, delta, 0.5);
else
r = hdrl_compute_offset_gaussian_internal(arr1, arr2,
half_w, CPL_TRUE, delta, 0.5);
const double peak = hdrl_xcorrelation_result_get_peak_subpixel(r);
const cpl_size used_win = hdrl_xcorrelation_result_get_half_window(r);
const double tolerance = use_win_refinement ? 5.6e-2 : 6e-2;
if (mean_diff != 0.0) { // Needed -> check the definition of the cpl macro
cpl_test_rel(-peak + used_win * delta, mean_diff, tolerance);
} else {
cpl_test_abs(peak, used_win * delta, tolerance);
}
hdrl_xcorrelation_result_delete(r);
cpl_array_delete(arr1);
cpl_array_delete(arr2);
}
/*----------------------------------------------------------------------------*/
/**
@brief Unit tests of correlation and shift
**/
/*----------------------------------------------------------------------------*/
int main(void)
{
cpl_test_init(PACKAGE_BUGREPORT, CPL_MSG_WARNING);
test_shift_pixel_precision(0);
test_shift_pixel_precision(2);
test_shift_pixel_precision(6);
test_shift_pixel_precision(-2);
test_shift_pixel_precision(-6);
test_shift_gaussian_fit(2.4, CPL_FALSE);
test_shift_gaussian_fit(-2.4, CPL_FALSE);
test_shift_gaussian_fit(1.8, CPL_FALSE);
test_shift_gaussian_fit(0.0, CPL_FALSE);
test_shift_gaussian_fit(2.4, CPL_TRUE);
test_shift_gaussian_fit(-2.4, CPL_TRUE);
test_shift_gaussian_fit(1.8, CPL_TRUE);
test_shift_gaussian_fit(0.0, CPL_TRUE);
cpl_test_error(CPL_ERROR_NONE);
return cpl_test_end(0);
}
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