opencv/modules/imgproc/test/test_distancetransform.cpp
Maksim Shabunin 8a62b03761
Merge pull request #22754 from mshabunin:c-cleanup
C-API cleanup for OpenCV 5.x (imgproc, highgui)

* imgproc: C-API cleanup

* imgproc: increase cvtColor test diff threshold

* imgproc: C-API cleanup pt.2

* imgproc: C-API cleanup pt.3

* imgproc: C-API cleanup pt.4

* imgproc: C-API cleanup pt.5

* imgproc: C-API cleanup pt.5

* imgproc: C-API cleanup pt.6

* highgui: C-API cleanup

* highgui: C-API cleanup pt.2

* highgui: C-API cleanup pt.3

* highgui: C-API cleanup pt.3

* imgproc: C-API cleanup pt.7

* fixup! highgui: C-API cleanup pt.3

* fixup! imgproc: C-API cleanup pt.6

* imgproc: C-API cleanup pt.8

* imgproc: C-API cleanup pt.9

* fixup! imgproc: C-API cleanup pt.9

* fixup! imgproc: C-API cleanup pt.9

* fixup! imgproc: C-API cleanup pt.9

* fixup! imgproc: C-API cleanup pt.9

* fixup! imgproc: C-API cleanup pt.9

* fixup! imgproc: C-API cleanup pt.9
2022-12-14 18:57:08 +00:00

66 lines
2.8 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "test_precomp.hpp"
namespace opencv_test { namespace {
BIGDATA_TEST(Imgproc_DistanceTransform, large_image_12218)
{
const int lls_maxcnt = 79992000; // labels's maximum count
const int lls_mincnt = 1; // labels's minimum count
int i, j, nz;
Mat src(8000, 20000, CV_8UC1), dst, labels;
for( i = 0; i < src.rows; i++ )
for( j = 0; j < src.cols; j++ )
src.at<uchar>(i, j) = (j > (src.cols / 2)) ? 0 : 255;
distanceTransform(src, dst, labels, cv::DIST_L2, cv::DIST_MASK_3, DIST_LABEL_PIXEL);
double scale = (double)lls_mincnt / (double)lls_maxcnt;
labels.convertTo(labels, CV_32SC1, scale);
Size size = labels.size();
nz = cv::countNonZero(labels);
EXPECT_EQ(nz, (size.height*size.width / 2));
}
}} // namespace