5f612ccf7a
closes #316
34 lines
1.4 KiB
C++
34 lines
1.4 KiB
C++
//
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// Copyright 2019 Miral Shah <miralshah2211@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.hpp>
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#include <boost/gil/extension/io/png.hpp>
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#include <iostream>
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using namespace boost::gil;
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int main()
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{
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gray8_image_t img;
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read_image("test_adaptive.png", img, png_tag{});
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gray8_image_t img_out(img.dimensions());
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boost::gil::threshold_adaptive(const_view(img), view(img_out), 11, threshold_adaptive_method::mean, threshold_direction::regular, 2);
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write_view("out-threshold-adaptive-mean.png", view(img_out), png_tag{});
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boost::gil::threshold_adaptive(const_view(img), view(img_out), 11, threshold_adaptive_method::mean, threshold_direction::inverse, 2);
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write_view("out-threshold-adaptive-mean-inv.png", view(img_out), png_tag{});
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boost::gil::threshold_adaptive(const_view(img), view(img_out), 7, threshold_adaptive_method::gaussian, threshold_direction::regular, 2);
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write_view("out-threshold-adaptive-gaussian.png", view(img_out), png_tag{});
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boost::gil::threshold_adaptive(const_view(img), view(img_out), 11, threshold_adaptive_method::gaussian, threshold_direction::inverse, 2);
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write_view("out-threshold-adaptive-gaussian-inv.png", view(img_out), png_tag{});
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return 0;
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}
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