vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
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+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2015, University of Ostrava, Institute for Research and Applications of Fuzzy Modeling,
+// Pavel Vlasanek, all rights reserved. Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "test_precomp.hpp"
+
+namespace opencv_test { namespace {
+
+TEST(fuzzy_image, inpainting)
+{
+    string folder = string(cvtest::TS::ptr()->get_data_path()) + "fuzzy/";
+    Mat orig = imread(folder + "orig.png");
+    Mat exp1 = imread(folder + "exp1.png");
+    Mat exp2 = imread(folder + "exp2.png");
+    Mat exp3 = imread(folder + "exp3.png");
+    Mat mask1 = imread(folder + "mask1.png", IMREAD_GRAYSCALE);
+    Mat mask2 = imread(folder + "mask2.png", IMREAD_GRAYSCALE);
+
+    EXPECT_TRUE(!orig.empty() && !exp1.empty() && !exp2.empty() && !exp3.empty() && !mask1.empty() && !mask2.empty());
+
+    Mat res1, res2, res3;
+    ft::inpaint(orig, mask1, res1, 2, ft::LINEAR, ft::ONE_STEP);
+    ft::inpaint(orig, mask2, res2, 2, ft::LINEAR, ft::MULTI_STEP);
+    ft::inpaint(orig, mask2, res3, 2, ft::LINEAR, ft::ITERATIVE);
+
+    res1.convertTo(res1, CV_8UC3);
+    res2.convertTo(res2, CV_8UC3);
+    res3.convertTo(res3, CV_8UC3);
+
+    double n1 = cvtest::norm(exp1, res1, NORM_INF);
+    double n2 = cvtest::norm(exp2, res2, NORM_INF);
+    double n3 = cvtest::norm(exp3, res3, NORM_INF);
+
+    EXPECT_LE(n1, 1);
+    EXPECT_LE(n2, 1);
+    EXPECT_LE(n3, 1);
+}
+
+TEST(fuzzy_image, filtering)
+{
+    string folder = string(cvtest::TS::ptr()->get_data_path()) + "fuzzy/";
+    Mat orig = imread(folder + "orig.png");
+    Mat exp4 = imread(folder + "exp4.png");
+
+    EXPECT_TRUE(!orig.empty() && !exp4.empty());
+
+    Mat kernel;
+    ft::createKernel(ft::LINEAR, 20, kernel, 3);
+
+    Mat res4;
+    ft::filter(orig, kernel, res4);
+
+    res4.convertTo(res4, CV_8UC3);
+
+    double n1 = cvtest::norm(exp4, res4, NORM_INF);
+
+    EXPECT_LE(n1, 1);
+}
+
+TEST(fuzzy_image, kernel)
+{
+    Mat kernel1;
+    ft::createKernel(ft::LINEAR, 2, kernel1, 1);
+
+    Mat vectorA = (Mat_<float>(1, 5) << 0, 0.5, 1, 0.5, 0);
+    Mat vectorB = (Mat_<float>(5, 1) << 0, 0.5, 1, 0.5, 0);
+
+    Mat kernel2;
+    ft::createKernel(vectorA, vectorB, kernel2, 1);
+
+    double diff = cvtest::norm(kernel1, kernel2, NORM_INF);
+
+    EXPECT_DOUBLE_EQ(diff, 0);
+}
+
+}} // namespace