gil/example/adaptive_threshold.cpp
2019-08-20 02:04:11 +05:30

34 lines
1.4 KiB
C++

//
// Copyright 2019 Miral Shah <miralshah2211@gmail.com>
//
// Use, modification and distribution are subject to the Boost Software License,
// Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
#include <boost/gil.hpp>
#include <boost/gil/extension/io/png.hpp>
#include <iostream>
using namespace boost::gil;
int main()
{
gray8_image_t img;
read_image("test_adaptive.png", img, png_tag{});
gray8_image_t img_out(img.dimensions());
boost::gil::threshold_adaptive(const_view(img), view(img_out), 11, threshold_adaptive_method::mean, threshold_direction::regular, 2);
write_view("out-threshold-adaptive-mean.png", view(img_out), png_tag{});
boost::gil::threshold_adaptive(const_view(img), view(img_out), 11, threshold_adaptive_method::mean, threshold_direction::inverse, 2);
write_view("out-threshold-adaptive-mean-inv.png", view(img_out), png_tag{});
boost::gil::threshold_adaptive(const_view(img), view(img_out), 7, threshold_adaptive_method::gaussian, threshold_direction::regular, 2);
write_view("out-threshold-adaptive-gaussian.png", view(img_out), png_tag{});
boost::gil::threshold_adaptive(const_view(img), view(img_out), 11, threshold_adaptive_method::gaussian, threshold_direction::inverse, 2);
write_view("out-threshold-adaptive-gaussian-inv.png", view(img_out), png_tag{});
return 0;
}