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#include "test_precomp.hpp"

using namespace cv;
using namespace std;

/*////////////////////// emd_test /////////////////////////*/

class CV_EMDTest : public cvtest::BaseTest
{
public:
    CV_EMDTest();
protected:
    void run(int);
};


CV_EMDTest::CV_EMDTest()
{
}

void CV_EMDTest::run( int )
{
    int code = cvtest::TS::OK;
    const double success_error_level = 1e-6;
    #define M 10000
    double emd0 = 2460./210;
    static float cost[] =
    {
        16, 16, 13, 22, 17,
        14, 14, 13, 19, 15,
        19, 19, 20, 23,  M,
        M ,  0,  M,  0,  0
    };
    static float  w1[] = { 50, 60, 50, 50 },
                  w2[] = { 30, 20, 70, 30, 60 };
    Mat _w1(4, 1, CV_32F, w1);
    Mat _w2(5, 1, CV_32F, w2);
    Mat _cost(_w1.rows, _w2.rows, CV_32F, cost);

    float emd = EMD( _w1, _w2, -1, _cost );
    if( fabs( emd - emd0 ) > success_error_level*emd0 )
    {
        ts->printf( cvtest::TS::LOG,
            "The computed distance is %.2f, while it should be %.2f\n", emd, emd0 );
        code = cvtest::TS::FAIL_BAD_ACCURACY;
    }

    if( code < 0 )
        ts->set_failed_test_info( code );
}

TEST(Imgproc_EMD, regression) { CV_EMDTest test; test.safe_run(); }

/* End of file. */
