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Merge branch 4.x

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This commit is contained in:
Alexander Smorkalov
2024-04-10 10:38:58 +03:00
parent 0e1d326ed0 369760116e
commit 282c762ead
32 changed files with 2897 additions and 432 deletions
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modules/imgproc/test/test_thresh.cpp
+54
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@@ -96,4 +96,58 @@ TEST(Imgproc_Threshold, regression_THRESH_TOZERO_IPP_21258_Max)
EXPECT_EQ(0, cv::norm(result, NORM_INF));
}
TEST(Imgproc_AdaptiveThreshold, mean)
{
const string input_path = cvtest::findDataFile("../cv/shared/baboon.png");
Mat input = imread(input_path, IMREAD_GRAYSCALE);
Mat result;
cv::adaptiveThreshold(input, result, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, 8);
const string gt_path = cvtest::findDataFile("../cv/imgproc/adaptive_threshold1.png");
Mat gt = imread(gt_path, IMREAD_GRAYSCALE);
EXPECT_EQ(0, cv::norm(result, gt, NORM_INF));
}
TEST(Imgproc_AdaptiveThreshold, mean_inv)
{
const string input_path = cvtest::findDataFile("../cv/shared/baboon.png");
Mat input = imread(input_path, IMREAD_GRAYSCALE);
Mat result;
cv::adaptiveThreshold(input, result, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY_INV, 15, 8);
const string gt_path = cvtest::findDataFile("../cv/imgproc/adaptive_threshold1.png");
Mat gt = imread(gt_path, IMREAD_GRAYSCALE);
gt = Mat(gt.rows, gt.cols, CV_8UC1, cv::Scalar(255)) - gt;
EXPECT_EQ(0, cv::norm(result, gt, NORM_INF));
}
TEST(Imgproc_AdaptiveThreshold, gauss)
{
const string input_path = cvtest::findDataFile("../cv/shared/baboon.png");
Mat input = imread(input_path, IMREAD_GRAYSCALE);
Mat result;
cv::adaptiveThreshold(input, result, 200, ADAPTIVE_THRESH_GAUSSIAN_C, THRESH_BINARY, 21, -5);
const string gt_path = cvtest::findDataFile("../cv/imgproc/adaptive_threshold2.png");
Mat gt = imread(gt_path, IMREAD_GRAYSCALE);
EXPECT_EQ(0, cv::norm(result, gt, NORM_INF));
}
TEST(Imgproc_AdaptiveThreshold, gauss_inv)
{
const string input_path = cvtest::findDataFile("../cv/shared/baboon.png");
Mat input = imread(input_path, IMREAD_GRAYSCALE);
Mat result;
cv::adaptiveThreshold(input, result, 200, ADAPTIVE_THRESH_GAUSSIAN_C, THRESH_BINARY_INV, 21, -5);
const string gt_path = cvtest::findDataFile("../cv/imgproc/adaptive_threshold2.png");
Mat gt = imread(gt_path, IMREAD_GRAYSCALE);
gt = Mat(gt.rows, gt.cols, CV_8UC1, cv::Scalar(200)) - gt;
EXPECT_EQ(0, cv::norm(result, gt, NORM_INF));
}
}} // namespace