59 lines
2.0 KiB
C++
59 lines
2.0 KiB
C++
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//
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// Copyright 2019 Olzhas Zhumabek <anonymous.from.applecity@gmail.com>
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// Copyright 2021 Pranam Lashkari <plashkari628@gmail.com>
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//
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// Distributed under the Boost Software License, Version 1.0
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// 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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#include <boost/gil/typedefs.hpp>
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#include <boost/gil/image_processing/numeric.hpp>
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#include <boost/gil/extension/io/png.hpp>
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#include <boost/gil/image_processing/convolve.hpp>
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#include <string>
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#include <iostream>
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namespace gil = boost::gil;
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// Demonstrates the use of Sobel and Scharr filters to detect edges
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// The example generates a couple of images representing respectively the result of
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// applying the filter horizontally and vertically.
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// The functions generating the filters (or kernels) are defined in include/boost/gil/image_processing/numeric.hpp.
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int main(int argc, char* argv[])
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{
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if (argc != 5)
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{
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std::cerr << "usage: " << argv[0] << ": <input.png> <sobel|scharr> <output-x.png> <output-y.png>\n";
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return -1;
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}
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gil::gray8_image_t input_image;
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gil::read_image(argv[1], input_image, gil::png_tag{});
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auto input = gil::view(input_image);
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auto filter_type = std::string(argv[2]);
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gil::gray16_image_t dx_image(input_image.dimensions());
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auto dx = gil::view(dx_image);
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gil::gray16_image_t dy_image(input_image.dimensions());
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auto dy = gil::view(dy_image);
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if (filter_type == "sobel")
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{
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gil::detail::convolve_2d(input, gil::generate_dx_sobel(1), dx);
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gil::detail::convolve_2d(input, gil::generate_dy_sobel(1), dy);
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}
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else if (filter_type == "scharr")
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{
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gil::detail::convolve_2d(input, gil::generate_dx_scharr(1), dx);
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gil::detail::convolve_2d(input, gil::generate_dy_scharr(1), dy);
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}
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else
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{
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std::cerr << "unrecognized gradient filter type. Must be either sobel or scharr\n";
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return -1;
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}
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gil::write_view(argv[3], dx, gil::png_tag{});
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gil::write_view(argv[4], dy, gil::png_tag{});
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}
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