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test: added regression test for convexityDefects (#5908)
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@ -1913,4 +1913,61 @@ TEST(Imgproc_ContourMoments, accuracy) { CV_ContourMomentsTest test; test.safe_r
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TEST(Imgproc_ContourPerimeterSlice, accuracy) { CV_PerimeterAreaSliceTest test; test.safe_run(); }
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TEST(Imgproc_FitEllipse, small) { CV_FitEllipseSmallTest test; test.safe_run(); }
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PARAM_TEST_CASE(ConvexityDefects_regression_5908, bool, int)
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{
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public:
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int start_index;
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bool clockwise;
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Mat contour;
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virtual void SetUp()
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{
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clockwise = GET_PARAM(0);
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start_index = GET_PARAM(1);
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const int N = 11;
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const Point2i points[N] = {
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Point2i(154, 408),
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Point2i(45, 223),
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Point2i(115, 275), // inner
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Point2i(104, 166),
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Point2i(154, 256), // inner
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Point2i(169, 144),
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Point2i(185, 256), // inner
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Point2i(235, 170),
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Point2i(240, 320), // inner
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Point2i(330, 287),
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Point2i(224, 390)
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};
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contour = Mat(N, 1, CV_32SC2);
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for (int i = 0; i < N; i++)
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{
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contour.at<Point2i>(i) = (!clockwise) // image and convexHull coordinate systems are different
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? points[(start_index + i) % N]
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: points[N - 1 - ((start_index + i) % N)];
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}
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}
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};
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TEST_P(ConvexityDefects_regression_5908, simple)
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{
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std::vector<int> hull;
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cv::convexHull(contour, hull, clockwise, false);
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std::vector<Vec4i> result;
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cv::convexityDefects(contour, hull, result);
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EXPECT_EQ(4, (int)result.size());
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}
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INSTANTIATE_TEST_CASE_P(Imgproc, ConvexityDefects_regression_5908,
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testing::Combine(
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testing::Bool(),
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testing::Values(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
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));
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/* End of file. */
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