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#include <iostream>
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/ximgproc.hpp"
using namespace std;
using namespace cv;
int main()
{
Mat img = imread("opencv-logo.png", IMREAD_COLOR);
resize(img, img, Size(), 0.5, 0.5, INTER_LINEAR_EXACT);
/// Threshold the input image
Mat img_grayscale, img_binary;
cvtColor(img, img_grayscale,COLOR_BGR2GRAY);
threshold(img_grayscale, img_binary, 0, 255, THRESH_OTSU | THRESH_BINARY_INV);
/// Apply thinning to get a skeleton
Mat img_thinning_ZS, img_thinning_GH;
ximgproc::thinning(img_binary, img_thinning_ZS, ximgproc::THINNING_ZHANGSUEN);
ximgproc::thinning(img_binary, img_thinning_GH, ximgproc::THINNING_GUOHALL);
/// Make 3 channel images from thinning result
Mat result_ZS(img.rows, img.cols, CV_8UC3), result_GH(img.rows, img.cols, CV_8UC3);
Mat in[] = { img_thinning_ZS, img_thinning_ZS, img_thinning_ZS };
Mat in2[] = { img_thinning_GH, img_thinning_GH, img_thinning_GH };
int from_to[] = { 0,0, 1,1, 2,2 };
mixChannels( in, 3, &result_ZS, 1, from_to, 3 );
mixChannels( in2, 3, &result_GH, 1, from_to, 3 );
/// Combine everything into a canvas
Mat canvas(img.rows, img.cols * 3, CV_8UC3);
img.copyTo( canvas( Rect(0, 0, img.cols, img.rows) ) );
result_ZS.copyTo( canvas( Rect(img.cols, 0, img.cols, img.rows) ) );
result_GH.copyTo( canvas( Rect(img.cols*2, 0, img.cols, img.rows) ) );
/// Visualize result
imshow("Skeleton", canvas); waitKey(0);
return 0;
}
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