opencv/modules/imgproc/test/test_connectedcomponents.cpp

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2012-12-10 11:21:45 +01:00
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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_ConnectedComponentsTest : public cvtest::BaseTest
{
public:
CV_ConnectedComponentsTest();
~CV_ConnectedComponentsTest();
protected:
void run(int);
};
CV_ConnectedComponentsTest::CV_ConnectedComponentsTest() {}
CV_ConnectedComponentsTest::~CV_ConnectedComponentsTest() {}
void CV_ConnectedComponentsTest::run( int /* start_from */)
{
string exp_path = string(ts->get_data_path()) + "connectedcomponents/ccomp_exp.png";
Mat exp = imread(exp_path, 0);
Mat orig = imread(string(ts->get_data_path()) + "connectedcomponents/concentric_circles.png", 0);
if (orig.empty())
{
ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
return;
}
Mat bw = orig > 128;
Mat labelImage;
int nLabels = connectedComponents(bw, labelImage, 8, CV_32S);
for(int r = 0; r < labelImage.rows; ++r){
for(int c = 0; c < labelImage.cols; ++c){
int l = labelImage.at<int>(r, c);
bool pass = l >= 0 && l <= nLabels;
if(!pass){
ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
return;
}
}
}
if( exp.empty() || orig.size() != exp.size() )
{
imwrite(exp_path, labelImage);
exp = labelImage;
}
if (0 != norm(labelImage > 0, exp > 0, NORM_INF))
{
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
return;
}
if (nLabels != norm(labelImage, NORM_INF)+1)
{
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
return;
}
ts->set_failed_test_info(cvtest::TS::OK);
}
TEST(Imgproc_ConnectedComponents, regression) { CV_ConnectedComponentsTest test; test.safe_run(); }