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Open Source Computer Vision Library
https://opencv.org/
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51 lines
1.3 KiB
51 lines
1.3 KiB
#include "cv.h" |
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#include "highgui.h" |
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using namespace cv; |
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Mat img; |
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int threshval = 100; |
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void on_trackbar(int, void*) |
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{ |
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Mat bw = threshval < 128 ? (img < threshval) : (img > threshval); |
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vector<vector<Point> > contours; |
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vector<Vec4i> hierarchy; |
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findContours( bw, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE ); |
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Mat dst = Mat::zeros(img.size(), CV_8UC3); |
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if( contours.size() > 0 ) |
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{ |
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// iterate through all the top-level contours, |
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// draw each connected component with its own random color |
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int idx = 0; |
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for( ; idx >= 0; idx = hierarchy[idx][0] ) |
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{ |
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Scalar color( (rand()&255), (rand()&255), (rand()&255) ); |
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drawContours( dst, contours, idx, color, CV_FILLED, 8, hierarchy ); |
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} |
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} |
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imshow( "Connected Components", dst ); |
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} |
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int main( int argc, char** argv ) |
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{ |
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// the first command line parameter must be file name of binary |
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// (black-n-white) image |
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if( !(img=imread(argc == 2 ? argv[1] : "stuff.jpg", 0)).data) |
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return -1; |
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namedWindow( "Image", 1 ); |
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imshow( "Image", img ); |
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namedWindow( "Connected Components", 1 ); |
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createTrackbar( "Threshold", "Connected Components", &threshval, 255, on_trackbar ); |
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on_trackbar(threshval, 0); |
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waitKey(0); |
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return 0; |
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}
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