OpenCV_4.2.0/opencv_contrib-4.2.0/modules/fuzzy/test/test_image.cpp

114 lines
4.1 KiB
C++

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#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