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Test for adaptive thresh will give FAIL_BAD_ACCURACY for old

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implementation of adaptivethreshold
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LaurentBerger 2015-06-30 10:51:50 +02:00
parent ca0114228c
commit 12362f76b1
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modules/imgproc/test/test_adpativethresh.cpp Normal file
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/*M///////////////////////////////////////////////////////////////////////////////////////
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// License Agreement
// For Open Source Computer Vision Library
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#include "test_precomp.hpp"
#include <string>
using namespace cv;
using namespace std;
class CV_Adaptivethresh : public cvtest::BaseTest
{
public:
CV_Adaptivethresh();
~CV_Adaptivethresh();
protected:
void run(int);
};
CV_Adaptivethresh::CV_Adaptivethresh() {}
CV_Adaptivethresh::~CV_Adaptivethresh() {}
void CV_Adaptivethresh::run( int /* start_from */)
{
string exp_path = string(ts->get_data_path()) + "adaptivethresh/lena_orig.png";
Mat lena = imread(exp_path, 0); // CV_LOAD_IMAGE_GRAYSCALE=0
if (lena.empty() )
{
ts->set_failed_test_info( cvtest::TS::FAIL_MISSING_TEST_DATA );
return;
}
int sum=0;
for (int i = 0; i < lena.rows; i++)
{
unsigned char *ptr = lena.ptr(i);
for (int j=0;j<lena.cols;j++,ptr++)
sum+=*ptr;
}
if (sum!=31910861)
{
ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
return;
}
int windowSize[9] = {3,9,11,17,21,25,29,37,47};
int expectedValueMean[9] = {96138,121836,124499,129096,130538,131330,131743,131616,131223};
int expectedValueGaussNew[9] = {86308,112910,116197,122117,124672,126488,127855,129377,130387};
int expectedValueGaussOld[9] = {88583,81365,154081,98049,149357,106414,179701,168433,90250};
Mat im;
bool failed=false;
for(int i = 0; i<9; ++i )
{
adaptiveThreshold( lena, im, 255,cv::ADAPTIVE_THRESH_MEAN_C,THRESH_BINARY,windowSize[i],0);
int numberWhite=countNonZero(im);
if (numberWhite != expectedValueMean[i])
{
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
return;
}
adaptiveThreshold( lena, im, 255,cv::ADAPTIVE_THRESH_GAUSSIAN_C,THRESH_BINARY,windowSize[i],0);
if (numberWhite != expectedValueGaussNew[i])
{
if (numberWhite != expectedValueGaussOld[i])
ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
else
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
}
}
if (failed)
ts->set_failed_test_info(cvtest::TS::OK);
else
ts->set_failed_test_info(cvtest::TS::OK);
}
TEST(Imgproc_Adaptivethresh, regression) { CV_Adaptivethresh test; test.safe_run(); }