opencv/modules/legacy/test/test_pyrsegmentation.cpp

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#include "test_precomp.hpp"

using namespace cv;
using namespace std;

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

#define SCAN  0

CV_PyrSegmentationTest::CV_PyrSegmentationTest()
{
}

void CV_PyrSegmentationTest::run( int /*start_from*/ )
{
    Mat _image_f, _image, _image_s;
    const int level = 5;
    const double range = 15;

    int code = cvtest::TS::OK;

    CvPoint _cp[] ={ CvPoint(33,33), CvPoint(43,33), CvPoint(43,43), CvPoint(33,43)};
    CvPoint _cp2[] ={CvPoint(50,50), CvPoint(70,50), CvPoint(70,70), CvPoint(50,70)};
    CvPoint* cp = _cp;
    CvPoint* cp2 = _cp2;
    CvConnectedComp *dst_comp[3];
    CvRect rect[3] = {CvRect(50,50,21,21), CvRect(0,0,128,128), CvRect(33,33,11,11)};
    double a[3] = {441.0, 15822.0, 121.0};

/*    ippiPoint cp3[] ={130,130, 150,130, 150,150, 130,150};  */
/*	CvPoint cp[] ={0,0, 5,5, 5,0, 10,5, 10,0, 15,5, 15,0};  */
    int nPoints = 4;
    int block_size = 1000;

    CvMemStorage *storage;   /*   storage for connected component writing  */
    CvSeq *comp;

    RNG& rng = ts->get_rng();
    int i, j, iter;

    IplImage *image, *image_f, *image_s;
    CvSize size(128, 128);
    const int threshold1 = 50, threshold2 = 50;

    rect[1].width = size.width;
    rect[1].height = size.height;
    a[1] = size.width*size.height - a[0] - a[2];

    OPENCV_CALL( storage = cvCreateMemStorage( block_size ) );

    for( iter = 0; iter < 2; iter++ )
    {
        int channels = iter == 0 ? 1 : 3;
        int mask[] = {0,0,0};

        image = cvCreateImage(size, 8, channels );
        image_s = cvCloneImage( image );
        image_f = cvCloneImage( image );

        if( channels == 1 )
        {
            int color1 = 30, color2 = 110, color3 = 190;

            cvSet( image, cvScalarAll(color1));
            cvFillPoly( image, &cp, &nPoints, 1, cvScalar(color2));
            cvFillPoly( image, &cp2, &nPoints, 1, cvScalar(color3));
        }
        else
        {
            CvScalar color1 = CV_RGB(30,30,30), color2 = CV_RGB(255,0,0), color3 = CV_RGB(0,255,0);

            assert( channels == 3 );
            cvSet( image, color1 );
            cvFillPoly( image, &cp, &nPoints, 1, color2);
            cvFillPoly( image, &cp2, &nPoints, 1, color3);
        }

        _image_f = cvarrToMat(image_f);
        cvtest::randUni( rng, _image_f, cvScalarAll(0), cvScalarAll(range*2) );
        cvAddWeighted( image, 1, image_f, 1, -range, image_f );

        cvPyrSegmentation( image_f, image_s,
                           storage, &comp,
                           level, threshold1, threshold2 );

        if(comp->total != 3)
        {
            ts->printf( cvtest::TS::LOG,
                "The segmentation function returned %d (not 3) components\n", comp->total );
            code = cvtest::TS::FAIL_INVALID_OUTPUT;
            goto _exit_;
        }
        /*  read the connected components     */
        dst_comp[0] = (CvConnectedComp*)CV_GET_SEQ_ELEM( CvConnectedComp, comp, 0 );
        dst_comp[1] = (CvConnectedComp*)CV_GET_SEQ_ELEM( CvConnectedComp, comp, 1 );
        dst_comp[2] = (CvConnectedComp*)CV_GET_SEQ_ELEM( CvConnectedComp, comp, 2 );

        /*{
            for( i = 0; i < 3; i++ )
            {
                CvRect r = dst_comp[i]->rect;
                cvRectangle( image_s, cvPoint(r.x,r.y), cvPoint(r.x+r.width,r.y+r.height),
                    CV_RGB(255,255,255), 3, 8, 0 );
            }

            cvNamedWindow( "test", 1 );
            cvShowImage( "test", image_s );
            cvWaitKey(0);
        }*/

        _image = cvarrToMat(image);
        _image_s = cvarrToMat(image_s);
        code = cvtest::cmpEps2( ts, _image, _image_s, 10, false, "the output image" );
        if( code < 0 )
            goto _exit_;

        for( i = 0; i < 3; i++)
        {
            for( j = 0; j < 3; j++ )
            {
                if( !mask[j] && dst_comp[i]->area == a[j] &&
                    dst_comp[i]->rect.x == rect[j].x &&
                    dst_comp[i]->rect.y == rect[j].y &&
                    dst_comp[i]->rect.width == rect[j].width &&
                    dst_comp[i]->rect.height == rect[j].height )
                {
                    mask[j] = 1;
                    break;
                }
            }
            if( j == 3 )
            {
                ts->printf( cvtest::TS::LOG, "The component #%d is incorrect\n", i );
                code = cvtest::TS::FAIL_BAD_ACCURACY;
                goto _exit_;
            }
        }

        cvReleaseImage(&image_f);
        cvReleaseImage(&image);
        cvReleaseImage(&image_s);
    }

_exit_:

    cvReleaseMemStorage( &storage );
    cvReleaseImage(&image_f);
    cvReleaseImage(&image);
    cvReleaseImage(&image_s);

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

TEST(Legacy_PyrSegmentation, regression) { CV_PyrSegmentationTest test; test.safe_run(); }

/* End of file. */