mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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163 lines
5.7 KiB
163 lines
5.7 KiB
#include "opencv2/imgproc/imgproc_c.h" |
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#include "opencv2/highgui/highgui_c.h" |
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#include <stdio.h> |
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static void help(void) |
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{ |
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printf("\nThis program creates an image to demonstrate the use of the \"c\" contour\n" |
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"functions: cvFindContours() and cvApproxPoly() along with the storage\n" |
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"functions cvCreateMemStorage() and cvDrawContours().\n" |
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"It also shows the use of a trackbar to control contour retrieval.\n" |
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"\n" |
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"Usage :\n" |
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"./contours\n"); |
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} |
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#define w 500 |
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int levels = 3; |
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CvSeq* contours = 0; |
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static void on_trackbar(int pos) |
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{ |
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IplImage* cnt_img = cvCreateImage( cvSize(w,w), 8, 3 ); |
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CvSeq* _contours = contours; |
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int _levels = levels - 3; |
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if( _levels <= 0 ) // get to the nearest face to make it look more funny |
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_contours = _contours->h_next->h_next->h_next; |
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cvZero( cnt_img ); |
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cvDrawContours( cnt_img, _contours, CV_RGB(255,0,0), CV_RGB(0,255,0), _levels, 3, CV_AA, cvPoint(0,0) ); |
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cvShowImage( "contours", cnt_img ); |
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cvReleaseImage( &cnt_img ); |
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} |
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static void findCComp( IplImage* img ) |
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{ |
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int x, y, cidx = 1; |
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IplImage* mask = cvCreateImage( cvSize(img->width+2, img->height+2), 8, 1 ); |
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cvZero(mask); |
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cvRectangle( mask, cvPoint(0, 0), cvPoint(mask->width-1, mask->height-1), |
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cvScalarAll(1), 1, 8, 0 ); |
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for( y = 0; y < img->height; y++ ) |
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for( x = 0; x < img->width; x++ ) |
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{ |
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if( CV_IMAGE_ELEM(mask, uchar, y+1, x+1) != 0 ) |
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continue; |
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cvFloodFill(img, cvPoint(x,y), cvScalarAll(cidx), |
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cvScalarAll(0), cvScalarAll(0), 0, 4, mask); |
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cidx++; |
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} |
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} |
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int main(int argc, char* argv[]) |
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{ |
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int i, j; |
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CvMemStorage* storage = cvCreateMemStorage(0); |
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IplImage* img = cvCreateImage( cvSize(w,w), 8, 1 ); |
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IplImage* img32f = cvCreateImage( cvSize(w,w), IPL_DEPTH_32F, 1 ); |
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IplImage* img32s = cvCreateImage( cvSize(w,w), IPL_DEPTH_32S, 1 ); |
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IplImage* img3 = cvCreateImage( cvSize(w,w), 8, 3 ); |
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help(); |
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cvZero( img ); |
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for( 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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CvScalar white = cvRealScalar(255); |
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CvScalar black = cvRealScalar(0); |
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if( i == 0 ) |
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{ |
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for( j = 0; j <= 10; j++ ) |
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{ |
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double angle = (j+5)*CV_PI/21; |
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cvLine(img, cvPoint(cvRound(dx+100+j*10-80*cos(angle)), |
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cvRound(dy+100-90*sin(angle))), |
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cvPoint(cvRound(dx+100+j*10-30*cos(angle)), |
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cvRound(dy+100-30*sin(angle))), white, 3, 8, 0); |
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} |
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} |
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cvEllipse( img, cvPoint(dx+150, dy+100), cvSize(100,70), 0, 0, 360, white, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+115, dy+70), cvSize(30,20), 0, 0, 360, black, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+185, dy+70), cvSize(30,20), 0, 0, 360, black, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+115, dy+70), cvSize(15,15), 0, 0, 360, white, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+185, dy+70), cvSize(15,15), 0, 0, 360, white, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+115, dy+70), cvSize(5,5), 0, 0, 360, black, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+185, dy+70), cvSize(5,5), 0, 0, 360, black, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+150, dy+100), cvSize(10,5), 0, 0, 360, black, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+150, dy+150), cvSize(40,10), 0, 0, 360, black, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+27, dy+100), cvSize(20,35), 0, 0, 360, white, -1, 8, 0 ); |
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cvEllipse( img, cvPoint(dx+273, dy+100), cvSize(20,35), 0, 0, 360, white, -1, 8, 0 ); |
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} |
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cvNamedWindow( "image", 1 ); |
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cvShowImage( "image", img ); |
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cvConvert( img, img32f ); |
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findCComp( img32f ); |
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cvConvert( img32f, img32s ); |
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cvFindContours( img32s, storage, &contours, sizeof(CvContour), |
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CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) ); |
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//cvFindContours( img, storage, &contours, sizeof(CvContour), |
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// CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) ); |
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{ |
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const char* attrs[] = {"recursive", "1", 0}; |
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cvSave("contours.xml", contours, 0, 0, cvAttrList(attrs, 0)); |
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contours = (CvSeq*)cvLoad("contours.xml", storage, 0, 0); |
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} |
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// comment this out if you do not want approximation |
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contours = cvApproxPoly( contours, sizeof(CvContour), storage, CV_POLY_APPROX_DP, 3, 1 ); |
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cvNamedWindow( "contours", 1 ); |
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cvCreateTrackbar( "levels+3", "contours", &levels, 7, on_trackbar ); |
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{ |
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CvRNG rng = cvRNG(-1); |
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CvSeq* tcontours = contours; |
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cvCvtColor( img, img3, CV_GRAY2BGR ); |
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while( tcontours->h_next ) |
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tcontours = tcontours->h_next; |
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for( ; tcontours != 0; tcontours = tcontours->h_prev ) |
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{ |
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CvScalar color; |
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color.val[0] = cvRandInt(&rng) % 256; |
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color.val[1] = cvRandInt(&rng) % 256; |
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color.val[2] = cvRandInt(&rng) % 256; |
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color.val[3] = cvRandInt(&rng) % 256; |
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cvDrawContours(img3, tcontours, color, color, 0, -1, 8, cvPoint(0,0)); |
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if( tcontours->v_next ) |
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{ |
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color.val[0] = cvRandInt(&rng) % 256; |
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color.val[1] = cvRandInt(&rng) % 256; |
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color.val[2] = cvRandInt(&rng) % 256; |
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color.val[3] = cvRandInt(&rng) % 256; |
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cvDrawContours(img3, tcontours->v_next, color, color, 1, -1, 8, cvPoint(0,0)); |
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} |
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} |
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} |
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cvShowImage( "colored", img3 ); |
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on_trackbar(0); |
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cvWaitKey(0); |
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cvReleaseMemStorage( &storage ); |
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cvReleaseImage( &img ); |
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cvReleaseImage( &img32f ); |
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cvReleaseImage( &img32s ); |
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cvReleaseImage( &img3 ); |
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return 0; |
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} |
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#ifdef _EiC |
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main(1,""); |
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#endif
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