opencv/modules/imgproc/test/test_connectedcomponents.cpp

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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 != cvtest::norm(labelImage > 0, exp > 0, NORM_INF))
    {
        ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
        return;
    }
    if (nLabels != cvtest::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(); }