opencv/modules/imgproc/perf/perf_canny.cpp

#include "perf_precomp.hpp"

using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;

typedef std::tr1::tuple<string, int, bool, std::tr1::tuple<double, double> > Img_Aperture_L2_thresholds_t;
typedef perf::TestBaseWithParam<Img_Aperture_L2_thresholds_t> Img_Aperture_L2_thresholds;

PERF_TEST_P(Img_Aperture_L2_thresholds, canny,
            testing::Combine(
                testing::Values( "cv/shared/lena.png", "stitching/b1.png", "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png" ),
                testing::Values( 3, 5 ),
                testing::Bool(),
                testing::Values( make_tuple(50.0, 100.0), make_tuple(0.0, 50.0), make_tuple(100.0, 120.0) )
                )
            )
{
    string filename = getDataPath(get<0>(GetParam()));
    int aperture = get<1>(GetParam());
    bool useL2 = get<2>(GetParam());
    double thresh_low = get<0>(get<3>(GetParam()));
    double thresh_high = get<1>(get<3>(GetParam()));

    Mat img = imread(filename, IMREAD_GRAYSCALE);
    if (img.empty())
        FAIL() << "Unable to load source image " << filename;
    Mat edges(img.size(), img.type());

    declare.in(img).out(edges);

    TEST_CYCLE() Canny(img, edges, thresh_low, thresh_high, aperture, useL2);

    SANITY_CHECK(edges);
}