OpenGL de プログラミング

以下の画像を読み込んで、8色まで減色せよ。
その他条件：
　クラスタリングによる減色処理をする。→ cvKMeans2()を使う

画像

#include <cv.h>
#include <highgui.h>
#include <iostream>


#define MAX_CLUSTERS (8)


using namespace std;

int main( int argc, char **argv)
{
IplImage *imgA = cvLoadImage( "test2.jpg", CV_LOAD_IMAGE_ANYDEPTH | CV_LOAD_IMAGE_ANYCOLOR);
if(imgA ==NULL)
{
cout<<"Can't Load Image ." << endl;
exit(0);
}


unsigned long int size;
size = imgA->width * imgA->height;


CvMat *clusters;
clusters = cvCreateMat (size, 1, CV_32SC1);//32 ビット 1チャンネル
CvMat *points;
points = cvCreateMat (size, 1, CV_32FC3); //32 ビット 3チャンネル

unsigned long int i;
for (i = 0; i < size; i++)
{
points->data.fl[i*3] = (unsigned char) imgA->imageData[i*3];
points->data.fl[i*3 + 1] = (unsigned char) imgA->imageData[i*3 + 1];
points->data.fl[i*3 + 2] = (unsigned char) imgA->imageData[i*3 + 2];
}

cvKMeans2 (points, MAX_CLUSTERS, clusters, cvTermCriteria (CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 10, 1.0));


CvMat *color = cvCreateMat (MAX_CLUSTERS, 1, CV_32FC3);
CvMat *count = cvCreateMat (MAX_CLUSTERS, 1, CV_32SC1);
cvSetZero (color);
cvSetZero (count);

for (i = 0; i < size; i++)
{
int idx = clusters->data.i[i];
int j = ++count->data.i[idx];
color->data.fl[idx * 3 ] = color->data.fl[idx * 3 ] * (j - 1) / j + points->data.fl[i * 3 ] / j;
color->data.fl[idx * 3 + 1] = color->data.fl[idx * 3 + 1] * (j - 1) / j + points->data.fl[i * 3 + 1] / j;
color->data.fl[idx * 3 + 2] = color->data.fl[idx * 3 + 2] * (j - 1) / j + points->data.fl[i * 3 + 2] / j;
}


for (i = 0; i < size; i++)
{
int idx = clusters->data.i[i];
imgA->imageData[i * 3 ] = (char) color->data.fl[idx * 3 ];
imgA->imageData[i * 3 + 1] = (char) color->data.fl[idx * 3 + 1];
imgA->imageData[i * 3 + 2] = (char) color->data.fl[idx * 3 + 2];
}


cvNamedWindow("window",CV_WINDOW_AUTOSIZE);
cvShowImage("window",imgA);

cvWaitKey(0);


cvReleaseImage( &imgA );

cvDestroyWindow("window");

return 0;
}