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72 lines
2.7 KiB
C++
72 lines
2.7 KiB
C++
//
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// Copyright 2019 Olzhas Zhumabek <anonymous.from.applecity@gmail.com>
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//
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// Use, modification and distribution are subject to the Boost Software License,
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// Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt)
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//
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#include <boost/gil/image.hpp>
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#include <boost/gil/image_processing/numeric.hpp>
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#include <boost/gil/image_view.hpp>
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#include <boost/gil/typedefs.hpp>
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#include <boost/core/lightweight_test.hpp>
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namespace gil = boost::gil;
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void test_normalized_mean_generation()
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{
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auto kernel = gil::generate_normalized_mean(5);
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for (const auto& cell: kernel)
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{
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const auto expected_value = static_cast<float>(1 / 25.f);
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BOOST_TEST_EQ(cell, expected_value);
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}
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}
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void test_unnormalized_mean_generation()
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{
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auto kernel = gil::generate_unnormalized_mean(5);
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for (const auto& cell: kernel)
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{
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BOOST_TEST_EQ(cell, 1.0f);
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}
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}
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void test_gaussian_kernel_generation()
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{
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auto kernel = boost::gil::generate_gaussian_kernel(7, 0.84089642);
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const float expected_values[7][7] =
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{
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{6.67847706e-07f, 2.29160778e-05f, 1.91169232e-04f, 3.87713181e-04f, 1.91169232e-04f, 2.29160778e-05f, 6.67847706e-07f},
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{2.29160778e-05f, 7.86326905e-04f, 6.55965268e-03f, 1.33037298e-02f, 6.55965268e-03f, 7.86326905e-04f, 2.29160778e-05f},
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{1.91169232e-04f, 6.55965268e-03f, 5.47215706e-02f, 1.10981636e-01f, 5.47215706e-02f, 6.55965268e-03f, 1.91169232e-04f},
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{3.87713181e-04f, 1.33037298e-02f, 1.10981636e-01f, 2.25083518e-01f, 1.10981636e-01f, 1.33037298e-02f, 3.87713181e-04f},
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{1.91169232e-04f, 6.55965268e-03f, 5.47215706e-02f, 1.10981636e-01f, 5.47215706e-02f, 6.55965268e-03f, 1.91169232e-04f},
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{2.29160778e-05f, 7.86326905e-04f, 6.55965268e-03f, 1.33037298e-02f, 6.55965268e-03f, 7.86326905e-04f, 2.29160778e-05f},
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{6.67847706e-07f, 2.29160778e-05f, 1.91169232e-04f, 3.87713181e-04f, 1.91169232e-04f, 2.29160778e-05f, 6.67847706e-07f}
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};
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double sum{0};
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for (gil::gray32f_view_t::coord_t y = 0; static_cast<std::size_t>(y) < kernel.size(); ++y)
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{
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for (gil::gray32f_view_t::coord_t x = 0; static_cast<std::size_t>(x) < kernel.size(); ++x)
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{
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auto output = kernel.at(static_cast<std::size_t>(x), static_cast<std::size_t>(y));
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auto expected = expected_values[y][x];
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auto percent_difference = std::ceil(std::abs(expected - output) / expected);
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BOOST_TEST_LT(percent_difference, 5);
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sum += output;
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}
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}
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BOOST_TEST_LT(std::abs(sum-1), 1e-7);
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}
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int main()
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{
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test_normalized_mean_generation();
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test_unnormalized_mean_generation();
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test_gaussian_kernel_generation();
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return boost::report_errors();
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}
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