#define cvCvtPixToPlane cvSplit #define cvCvtPlaneToPix cvMerge
void hist_2D(void) { IplImage *src=cvLoadImage("lena.jpg"); IplImage *hsv=cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 3); cvCvtColor(src, hsv, CV_BGR2HSV_FULL); IplImage *h_plane=cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1); IplImage *s_plane=cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1); IplImage *v_plane=cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1); IplImage *planes[]={h_plane, s_plane}; cvCvtPixToPlane(hsv, h_plane, s_plane, v_plane, 0); //Build the histogram and compute its contents. int h_bins=256, s_bins=256; CvHistogram *hist; { int hist_size[]={h_bins, s_bins}; float h_ranges[]={0, 255}; //hue is [0, 180] float s_ranges[]={0, 255}; float* ranges[]={h_ranges, s_ranges}; hist=cvCreateHist(2, hist_size, CV_HIST_ARRAY, ranges, 1); } cvCalcHist(planes, hist, 0, 0); //Compute histogram cvNormalizeHist(hist, 1.0); //Normalize it //Create an image to use to visualize our histogram int scale=2; IplImage *hist_img=cvCreateImage(cvSize(h_bins*scale, s_bins*scale), IPL_DEPTH_8U, 3); cvZero(hist_img); //populate our visualization with little gray squares. float max_value=0; cvGetMinMaxHistValue(hist, 0, &max_value, 0, 0); for (int h=0; h<h_bins; h++) { for (int s=0; s<s_bins; s++) { float bin_val=cvQueryHistValue_2D(hist, h, s); int intensity=cvRound(bin_val*255/max_value); cvRectangle(hist_img, cvPoint(h*scale, s*scale), cvPoint((h+1)*scale-1, (s+1)*scale-1), CV_RGB(intensity, intensity, intensity), CV_FILLED); } } cvNamedWindow("Source"); cvShowImage("Source", src); cvNamedWindow("H-S Histogram"); cvShowImage("H-S Histogram", hist_img); cvWaitKey(0); }