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Open Source Computer Vision Library
https://opencv.org/
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94 lines
3.0 KiB
94 lines
3.0 KiB
#include "opencv2/imgproc/imgproc.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include <math.h> |
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#include <iostream> |
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using namespace cv; |
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using namespace std; |
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void help() |
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{ |
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cout |
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<< "\nThis program illustrates the use of findContours and drawContours\n" |
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<< "The original image is put up along with the image of drawn contours\n" |
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<< "Usage:\n" |
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<< "./contours2\n" |
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<< "\nA trackbar is put up which controls the contour level from -3 to 3\n" |
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<< endl; |
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} |
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const int w = 500; |
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int levels = 3; |
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vector<vector<Point> > contours; |
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vector<Vec4i> hierarchy; |
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void on_trackbar(int, void*) |
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{ |
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Mat cnt_img = Mat::zeros(w, w, CV_8UC3); |
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int _levels = levels - 3; |
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drawContours( cnt_img, contours, _levels <= 0 ? 3 : -1, Scalar(128,255,255), |
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3, CV_AA, hierarchy, std::abs(_levels) ); |
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imshow("contours", cnt_img); |
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} |
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int main( int argc, char**) |
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{ |
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Mat img = Mat::zeros(w, w, CV_8UC1); |
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if(argc > 1) |
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{ |
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help(); |
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return -1; |
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} |
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//Draw 6 faces |
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for( int i = 0; i < 6; i++ ) |
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{ |
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int dx = (i%2)*250 - 30; |
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int dy = (i/2)*150; |
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const Scalar white = Scalar(255); |
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const Scalar black = Scalar(0); |
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if( i == 0 ) |
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{ |
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for( int j = 0; j <= 10; j++ ) |
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{ |
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double angle = (j+5)*CV_PI/21; |
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line(img, Point(cvRound(dx+100+j*10-80*cos(angle)), |
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cvRound(dy+100-90*sin(angle))), |
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Point(cvRound(dx+100+j*10-30*cos(angle)), |
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cvRound(dy+100-30*sin(angle))), white, 1, 8, 0); |
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} |
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} |
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ellipse( img, Point(dx+150, dy+100), Size(100,70), 0, 0, 360, white, -1, 8, 0 ); |
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ellipse( img, Point(dx+115, dy+70), Size(30,20), 0, 0, 360, black, -1, 8, 0 ); |
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ellipse( img, Point(dx+185, dy+70), Size(30,20), 0, 0, 360, black, -1, 8, 0 ); |
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ellipse( img, Point(dx+115, dy+70), Size(15,15), 0, 0, 360, white, -1, 8, 0 ); |
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ellipse( img, Point(dx+185, dy+70), Size(15,15), 0, 0, 360, white, -1, 8, 0 ); |
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ellipse( img, Point(dx+115, dy+70), Size(5,5), 0, 0, 360, black, -1, 8, 0 ); |
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ellipse( img, Point(dx+185, dy+70), Size(5,5), 0, 0, 360, black, -1, 8, 0 ); |
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ellipse( img, Point(dx+150, dy+100), Size(10,5), 0, 0, 360, black, -1, 8, 0 ); |
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ellipse( img, Point(dx+150, dy+150), Size(40,10), 0, 0, 360, black, -1, 8, 0 ); |
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ellipse( img, Point(dx+27, dy+100), Size(20,35), 0, 0, 360, white, -1, 8, 0 ); |
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ellipse( img, Point(dx+273, dy+100), Size(20,35), 0, 0, 360, white, -1, 8, 0 ); |
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} |
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//show the faces |
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namedWindow( "image", 1 ); |
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imshow( "image", img ); |
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//Extract the contours so that |
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vector<vector<Point> > contours0; |
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findContours( img, contours0, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE); |
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contours.resize(contours0.size()); |
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for( size_t k = 0; k < contours0.size(); k++ ) |
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approxPolyDP(Mat(contours0[k]), contours[k], 3, true); |
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namedWindow( "contours", 1 ); |
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createTrackbar( "levels+3", "contours", &levels, 7, on_trackbar ); |
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on_trackbar(0,0); |
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waitKey(); |
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return 0; |
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}
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