56 lines
1.9 KiB
C++
56 lines
1.9 KiB
C++
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//
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// Copyright 2020 Debabrata Mandal <mandaldebabrata123@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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//
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#include <boost/gil.hpp>
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#include <boost/gil/extension/io/png.hpp>
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#include <boost/gil/io/read_image.hpp>
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#include <iostream>
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using namespace boost::gil;
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// Explains how to use the histogram class and some of its features
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// that can be applied for a variety of tasks.
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// See also:
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// histogram_equalization.cpp - Regular Histogram Equalization
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// adaptive_histogram_equalization.cpp - Adaptive Histogram Equalization
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// histogram_matching.cpp - Reference-based histogram computation
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int main()
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{
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// Create a histogram class. Use uint or unsigned short as the default axes type in most cases.
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histogram<unsigned char> h;
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// Fill histogram with GIL images (of any color space)
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gray8_image_t g;
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read_image("test_adaptive.png", g, png_tag{});
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fill_histogram
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(
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view(g), // Input image view
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h, // Histogram to be filled
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1, // Histogram bin widths
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false, // Specify whether to accumulate over the values already present in h (default = false)
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true, // Specify whether to have a sparse (true) or continuous histogram (false) (default = true)
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false, // Specify if image mask is to be specified
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{{}}, // Mask as a 2D vector. Used only if prev argument specified
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{0}, // Lower limit on the values in histogram (default numeric_limit::min() on axes)
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{255}, // Upper limit on the values in histogram (default numeric_limit::max() on axes)
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true // Use specified limits if this is true (default is false)
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);
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// Normalize the histogram
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h.normalize();
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// Get a cumulative histogram from the histogram
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auto h2 = cumulative_histogram(h);
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return 0;
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}
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