// // Copyright 2005-2007 Adobe Systems Incorporated // // Distributed under 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 // Demonstrates how to compute gradients along the x-axis // This example converts the input image to a greyscale view via color_converted_view, // and then relies on the function static_transform to apply the operation halfdiff_cast_channels. // The result is captured in a view, initially blacked out via a call to fill_pixels (defined in // include/boost/gil/algorithm.hpp) // static_transform is defined in include/boost/gil/color_based_algorithm.hpp and applies an operation // to either a single source or two sources and a destination (as is the case here). // In this example, the gradient is calculated as half the difference between the two pixels surrounding x // in the loop in x_gradient. using namespace boost::gil; template struct halfdiff_cast_channels { template Out operator()(const T& in1, const T& in2) const { return Out((in2-in1)/2); } }; template void x_gradient(SrcView const& src, DstView const& dst) { using dst_channel_t = typename channel_type::type; for (int y = 0; y < src.height(); ++y) { typename SrcView::x_iterator src_it = src.row_begin(y); typename DstView::x_iterator dst_it = dst.row_begin(y); for (int x = 1; x < src.width() - 1; ++x) { static_transform(src_it[x - 1], src_it[x + 1], dst_it[x], halfdiff_cast_channels()); } } } template void x_luminosity_gradient(SrcView const& src, DstView const& dst) { using gray_pixel_t = pixel::type, gray_layout_t>; x_gradient(color_converted_view(src), dst); } int main() { rgb8_image_t img; read_image("test.jpg",img, jpeg_tag{}); gray8s_image_t img_out(img.dimensions()); fill_pixels(view(img_out),int8_t(0)); x_luminosity_gradient(const_view(img), view(img_out)); write_view("out-x_gradient.jpg",color_converted_view(const_view(img_out)), jpeg_tag{}); return 0; }