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1 //
2 // Copyright 2019 Olzhas Zhumabek <anonymous.from.applecity@gmail.com>
3 //
4 // Use, modification and distribution are subject to the Boost Software License,
5 // Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at
6 // http://www.boost.org/LICENSE_1_0.txt)
7 //
8 #include <boost/gil/image_processing/numeric.hpp>
9 #include <boost/gil/image.hpp>
10 #include <boost/gil/image_view.hpp>
11 #include <boost/gil/typedefs.hpp>
12 #include <boost/core/lightweight_test.hpp>
13
14 namespace gil = boost::gil;
15
16 void test_normalized_mean_generation()
17 {
18 auto kernel = gil::generate_normalized_mean(5);
19 for (const auto& cell: kernel)
20 {
21 const auto expected_value = static_cast<float>(1 / 25.f);
22 BOOST_TEST(cell == expected_value);
23 }
24 }
25
26 void test_unnormalized_mean_generation()
27 {
28 auto kernel = gil::generate_unnormalized_mean(5);
29 for (const auto& cell: kernel)
30 {
31 BOOST_TEST(cell == 1.0f);
32 }
33 }
34
35 void test_gaussian_kernel_generation()
36 {
37 auto kernel = boost::gil::generate_gaussian_kernel(7, 0.84089642);
38 const float expected_values[7][7] =
39 {
40 {0.00000067f, 0.00002292f, 0.00019117f, 0.00038771f, 0.00019117f, 0.00002292f, 0.00000067f},
41 {0.00002292f, 0.00078633f, 0.00655965f, 0.01330373f, 0.00655965f, 0.00078633f, 0.00002292f},
42 {0.00019117f, 0.00655965f, 0.05472157f, 0.11098164f, 0.05472157f, 0.00655965f, 0.00019117f},
43 {0.00038771f, 0.01330373f, 0.11098164f, 0.25508352f, 0.11098164f, 0.01330373f, 0.00038711f},
44 {0.00019117f, 0.00655965f, 0.05472157f, 0.11098164f, 0.05472157f, 0.00655965f, 0.00019117f},
45 {0.00002292f, 0.00078633f, 0.00655965f, 0.01330373f, 0.00655965f, 0.00078633f, 0.00002292f},
46 {0.00000067f, 0.00002292f, 0.00019117f, 0.00038771f, 0.00019117f, 0.00002292f, 0.00000067f}
47 };
48
49 for (gil::gray32f_view_t::coord_t y = 0; static_cast<std::size_t>(y) < kernel.size(); ++y)
50 {
51 for (gil::gray32f_view_t::coord_t x = 0; static_cast<std::size_t>(x) < kernel.size(); ++x)
52 {
53 auto output = kernel.at(static_cast<std::size_t>(x), static_cast<std::size_t>(y));
54 auto expected = expected_values[y][x];
55 auto percent_difference = std::ceil(std::abs(expected - output) / expected);
56 BOOST_TEST(percent_difference < 5);
57 }
58 }
59 }
60
61 int main()
62 {
63 test_normalized_mean_generation();
64 test_unnormalized_mean_generation();
65 test_gaussian_kernel_generation();
66 return boost::report_errors();
67 }