1、彩色圖像直方圖均衡處理彩色圖像直方圖均衡處理，在灰度圖像直方圖均衡處理的基礎上實現彩色直方圖均衡處理。三、彩色直方圖均衡#includestdafx.h#include#includeint_tmain(intargc,_TCHAR*argv)IplImage*src=cvLoadImage(1.jpg);cvNamedWindow(，原圖,1);cvShowImage(原圖”,src);IplImage*equlimage=cvCreateImage(cvGetSize(src),8,3);分別均衡化每個信道IplImage*redlmage=cvCreateImage(cvGetSize(

2、src),8,1);IplImage*greenImage=cvCreateImage(cvGetSize(src),8,1);IplImage*blueImage=cvCreateImage(cvGetSize(src),8,1);cvSplit(src,blueImage,greenImage,redImage,NULL);cvEqualizeHist(redImage,redImage);cvEqualizeHist(greenImage,greenImage);cvEqualizeHist(blueImage,blueImage);均衡后的圖像cvMerge(blueImage,gre

3、enImage,redImage,NULL,equlimage);cvMerge(blueImage,NULL,NULL,NULL,equlimage);cvMerge(NULL,greenImage,NULL,NULL,equlimage);cvMerge(NULL,NULL,redImage,NULL,equlimage);cvNamedWindow(均衡圖,1);cvShowImage(均衡圖”,equlimage);/*cvNamedWindow(均衡-紅,1);cvShowImage(均衡-紅”,redImage);cvNamedWindow(均衡-綠,1);cvShowImage(

4、均衡-綠”,greenImage);cvNamedWindow(均衡-藍,1);cvShowImage(均衡-藍”,blueImage);*/IplImage*gray_plane=cvCreateImage(cvGetSize(src),8,1);IplImage*equl_plane=cvCreateImage(cvGetSize(src),8,1);cvCvtColor(src,gray_plane,CV_BGR2GRAY);cvCvtColor(equlimage,equl_plane,CV_BGR2GRAY);inthist_size=256;/直方圖尺寸inthist_height

5、=256;floatrange=0,255;/灰度級的范圍float*ranges=range;創建一維直方圖，統計圖像在0,255像素的均勻分布CvHistogram*gray_hist=cvCreateHist(1,&hist_size,CV_HIST_ARRAY,ranges,1);CvHistogram*equl_hist=cvCreateHist(1,&hist_size,CV_HIST_ARRAY,ranges,1);計算灰度圖像的一維直方圖cvCalcHist(&gray_plane,gray_hist,0,0);cvCalcHist(&equl_plane,equl_hist,

6、0,0);歸一化直方圖歸一化直方圖cvNormalizeHist(gray_hist,1.0);cvNormalizeHist(equl_hist,1.0);intscale=1;創建一張一維直方圖的“圖像，橫坐標為灰度級，縱坐標為像素個數(*scale)圖像位深度為8位整形，每個元素通道號為3IplImage*hist_image=cvCreateImage(cvSize(hist_size*scale*2,hist_height),8,3);初始化，圖像清零cvZero(hist_image);統計直方圖中的最大直方塊floatmax_value=0;floatmax_value2=0;c

7、vGetMinMaxHistValue(gray_hist,O,&max_value,0,0);cvGetMinMaxHistValue(equl_hist,O,&max_value2,0,0);分別將每個直方塊的值繪制到圖中for(inti=O;ihist_size;i+)floatbin_val=cvQueryHistValue_1D(gray_hist,i);floatbin_val2=cvQueryHistValue_1D(equl_hist,i);intintensity=cvRound(bin_val*hist_height/max_value);intintensity2=cvRound(bin_val2*hist_height/max_value2);cvRectangle(hist_image,cvPoint(i*scale,hist_height-1),cvPoint(i+1)*scale-1,hist_height-intensity),CV_RGB(255,255,255);cvRectangle(hist_image,cvPoint(i+hist_height)*scale,hist_height-1),cvPoint(i+hist_height+1)*scale-1,hist_height-intensity2),CV_RGB(255,255,255)