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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
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