94 lines
2.8 KiB
C
94 lines
2.8 KiB
C
#ifdef _CH_
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#pragma package <opencv>
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#endif
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#define CV_NO_BACKWARD_COMPATIBILITY
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#ifndef _EiC
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#include "cv.h"
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#include "highgui.h"
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#include <stdio.h>
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#endif
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int main( int argc, char** argv )
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{
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#define MAX_CLUSTERS 5
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CvScalar color_tab[MAX_CLUSTERS];
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IplImage* img = cvCreateImage( cvSize( 500, 500 ), 8, 3 );
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CvRNG rng = cvRNG(-1);
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CvPoint ipt;
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color_tab[0] = CV_RGB(255,0,0);
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color_tab[1] = CV_RGB(0,255,0);
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color_tab[2] = CV_RGB(100,100,255);
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color_tab[3] = CV_RGB(255,0,255);
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color_tab[4] = CV_RGB(255,255,0);
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cvNamedWindow( "clusters", 1 );
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for(;;)
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{
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char key;
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int k, cluster_count = cvRandInt(&rng)%MAX_CLUSTERS + 1;
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int i, sample_count = cvRandInt(&rng)%1000 + 1;
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CvMat* points = cvCreateMat( sample_count, 1, CV_32FC2 );
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CvMat* clusters = cvCreateMat( sample_count, 1, CV_32SC1 );
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cluster_count = MIN(cluster_count, sample_count);
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/* generate random sample from multigaussian distribution */
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for( k = 0; k < cluster_count; k++ )
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{
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CvPoint center;
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CvMat point_chunk;
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center.x = cvRandInt(&rng)%img->width;
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center.y = cvRandInt(&rng)%img->height;
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cvGetRows( points, &point_chunk, k*sample_count/cluster_count,
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k == cluster_count - 1 ? sample_count :
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(k+1)*sample_count/cluster_count, 1 );
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cvRandArr( &rng, &point_chunk, CV_RAND_NORMAL,
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cvScalar(center.x,center.y,0,0),
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cvScalar(img->width*0.1,img->height*0.1,0,0));
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}
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/* shuffle samples */
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for( i = 0; i < sample_count/2; i++ )
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{
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CvPoint2D32f* pt1 = (CvPoint2D32f*)points->data.fl + cvRandInt(&rng)%sample_count;
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CvPoint2D32f* pt2 = (CvPoint2D32f*)points->data.fl + cvRandInt(&rng)%sample_count;
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CvPoint2D32f temp;
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CV_SWAP( *pt1, *pt2, temp );
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}
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printf( "iterations=%d\n", cvKMeans2( points, cluster_count, clusters,
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cvTermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 10, 1.0 ),
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5, 0, 0, 0, 0 ));
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cvZero( img );
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for( i = 0; i < sample_count; i++ )
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{
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int cluster_idx = clusters->data.i[i];
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ipt.x = (int)points->data.fl[i*2];
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ipt.y = (int)points->data.fl[i*2+1];
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cvCircle( img, ipt, 2, color_tab[cluster_idx], CV_FILLED, CV_AA, 0 );
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}
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cvReleaseMat( &points );
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cvReleaseMat( &clusters );
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cvShowImage( "clusters", img );
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key = (char) cvWaitKey(0);
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if( key == 27 || key == 'q' || key == 'Q' ) // 'ESC'
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break;
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}
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cvDestroyWindow( "clusters" );
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return 0;
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}
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#ifdef _EiC
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main(1,"kmeans.c");
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#endif
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