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0b24f4cdbf
* Added all missing examples, dodgy Jamfile still * Fixed attributions and Jamfile indent * One readme per example: synopsis, build and exec reqs * Cleaned up example/convolve2d.cpp * Added example target to root Jamfile Closes #436
79 lines
3.2 KiB
C++
79 lines
3.2 KiB
C++
//
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// Copyright 2020 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.hpp>
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#include <boost/gil/extension/io/png.hpp>
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#include <cmath>
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#include <cstddef>
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#include <iostream>
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namespace gil = boost::gil;
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// Demonstrates the Hough transform to detect lines
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// The algorithm itself is implemented in include/boost/gil/image_processing/hough_transform.hpp.
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// It follows the regular algorithm, using Hesse notation, and steps around each point using the minimal visible angle
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// defined as atan2(1, d), where d is whichever dimension in the input image is the longest.
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// The function make_theta_parameter, defined in include/boost/gil/image_processing/hough_parameter.hpp, allows to generate the parameter accordingly.
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// See also:
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// hough_transform_circle.cpp - Hough transform to detect circles
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int main()
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{
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std::ptrdiff_t size = 32;
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gil::gray16_image_t input_image(size, size);
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auto input_view = gil::view(input_image);
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// fill secondary diagonal with ones
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// do note that origin is located at upper left,
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// not bottom left as in usual plots
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for (std::ptrdiff_t i = 0; i < size; ++i)
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{
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input_view(i, size - i - 1) = 1;
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}
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// print vertically flipped for better understanding of origin location
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for (std::ptrdiff_t y = size - 1; y >= 0; --y)
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{
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for (std::ptrdiff_t x = 0; x < size; ++x)
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{
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std::cout << input_view(x, y)[0] << ' ';
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}
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std::cout << '\n';
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}
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// this is the expected theta
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double _45_degrees = gil::detail::pi / 4;
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double _5_degrees = gil::detail::pi / 36;
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auto theta_parameter =
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gil::make_theta_parameter(_45_degrees, _5_degrees, input_view.dimensions());
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auto expected_radius = static_cast<std::ptrdiff_t>(std::round(std::cos(_45_degrees) * size));
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auto radius_parameter =
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gil::hough_parameter<std::ptrdiff_t>::from_step_size(expected_radius, 7, 1);
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gil::gray32_image_t accumulator_array_image(theta_parameter.step_count,
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radius_parameter.step_count);
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auto accumulator_array = gil::view(accumulator_array_image);
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gil::hough_line_transform(input_view, accumulator_array, theta_parameter, radius_parameter);
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std::cout << "expecting maximum at theta=" << _45_degrees << " and radius=" << expected_radius
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<< '\n';
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for (std::size_t theta_index = 0; theta_index < theta_parameter.step_count; ++theta_index)
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{
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for (std::size_t radius_index = 0; radius_index < radius_parameter.step_count;
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++radius_index)
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{
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double current_theta =
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theta_parameter.start_point + theta_index * theta_parameter.step_size;
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std::ptrdiff_t current_radius =
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radius_parameter.start_point + radius_parameter.step_size * radius_index;
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std::cout << "theta: " << current_theta << " radius: " << current_radius
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<< " accumulated value: " << accumulator_array(theta_index, radius_index)[0]
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<< '\n';
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}
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}
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}
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