vcs.maemo.org Git - opencv/blob - samples/c/kmeans.c

   1 #ifdef _CH_
   2 #pragma package <opencv>
   3 #endif
   4
   5 #ifndef _EiC
   6 #include "cv.h"
   7 #include "highgui.h"
   8 #endif
   9
  10 int main( int argc, char** argv )
  11 {
  12     #define MAX_CLUSTERS 5
  13     CvScalar color_tab[MAX_CLUSTERS];
  14     IplImage* img = cvCreateImage( cvSize( 500, 500 ), 8, 3 );
  15     CvRNG rng = cvRNG(-1);
  16     CvPoint ipt;
  17
  18     color_tab[0] = CV_RGB(255,0,0);
  19     color_tab[1] = CV_RGB(0,255,0);
  20     color_tab[2] = CV_RGB(100,100,255);
  21     color_tab[3] = CV_RGB(255,0,255);
  22     color_tab[4] = CV_RGB(255,255,0);
  23
  24     cvNamedWindow( "clusters", 1 );
  25
  26     for(;;)
  27     {
  28         char key;
  29         int k, cluster_count = cvRandInt(&rng)%MAX_CLUSTERS + 1;
  30         int i, sample_count = cvRandInt(&rng)%1000 + 1;
  31         CvMat* points = cvCreateMat( sample_count, 1, CV_32FC2 );
  32         CvMat* clusters = cvCreateMat( sample_count, 1, CV_32SC1 );
  33
  34         /* generate random sample from multigaussian distribution */
  35         for( k = 0; k < cluster_count; k++ )
  36         {
  37             CvPoint center;
  38             CvMat point_chunk;
  39             center.x = cvRandInt(&rng)%img->width;
  40             center.y = cvRandInt(&rng)%img->height;
  41             cvGetRows( points, &point_chunk, k*sample_count/cluster_count,
  42                        k == cluster_count - 1 ? sample_count :
  43                        (k+1)*sample_count/cluster_count, 1 );
  44
  45             cvRandArr( &rng, &point_chunk, CV_RAND_NORMAL,
  46                        cvScalar(center.x,center.y,0,0),
  47                        cvScalar(img->width*0.1,img->height*0.1,0,0));
  48         }
  49
  50         /* shuffle samples */
  51         for( i = 0; i < sample_count/2; i++ )
  52         {
  53             CvPoint2D32f* pt1 = (CvPoint2D32f*)points->data.fl + cvRandInt(&rng)%sample_count;
  54             CvPoint2D32f* pt2 = (CvPoint2D32f*)points->data.fl + cvRandInt(&rng)%sample_count;
  55             CvPoint2D32f temp;
  56             CV_SWAP( *pt1, *pt2, temp );
  57         }
  58
  59         cvKMeans2( points, cluster_count, clusters,
  60                    cvTermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 10, 1.0 ));
  61
  62         cvZero( img );
  63
  64         for( i = 0; i < sample_count; i++ )
  65         {
  66             int cluster_idx = clusters->data.i[i];
  67             ipt.x = (int)points->data.fl[i*2];
  68             ipt.y = (int)points->data.fl[i*2+1];
  69             cvCircle( img, ipt, 2, color_tab[cluster_idx], CV_FILLED, CV_AA, 0 );
  70         }
  71
  72         cvReleaseMat( &points );
  73         cvReleaseMat( &clusters );
  74
  75         cvShowImage( "clusters", img );
  76
  77         key = (char) cvWaitKey(0);
  78         if( key == 27 || key == 'q' || key == 'Q' ) // 'ESC'
  79             break;
  80     }
  81
  82     cvDestroyWindow( "clusters" );
  83     return 0;
  84 }
  85
  86 #ifdef _EiC
  87 main(1,"kmeans.c");
  88 #endif