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