openCV 直方图统计

直方图显示

 #include <opencv2/opencv.hpp>

 using namespace std;
 using namespace cv;  

 int main(int argc, char* argv[])
 {
     //声明IplImage指针
     IplImage* pImg = NULL;
     IplImage* pCannyImg = NULL;

     int HistogramBins = ;
     float HistogramRange1[]={,};
     float *HistogramRange[]={&HistogramRange1[]};

     //载入图像，强制转化为Gray
     if(  (pImg = cvLoadImage("D:\\Documents\\1.bmp", CV_LOAD_IMAGE_GRAYSCALE)) != NULL )
     {
         IplImage *hist_img = cvCreateImage(cvSize(, ), IPL_DEPTH_8U, );
         CvHistogram *Histogram1=cvCreateHist(,&HistogramBins,CV_HIST_ARRAY,HistogramRange);
         cvCalcHist(&pImg, Histogram1);
         //画图
         float max_value;
         cvGetMinMaxHistValue(Histogram1, , &max_value, , );
         int val = ;
         for (int i =  ; i < HistogramBins; ++i )
         {
             val = int(cvGetReal1D(Histogram1->bins, i)/max_value * );
             cvLine(hist_img, cvPoint(i, ), cvPoint(i,  - val), cvScalar(, , , ), );
         }

         //为canny边缘图像申请空间
         pCannyImg = cvCreateImage(cvGetSize(pImg),
             IPL_DEPTH_8U,
             );
         //canny边缘检测
         cvCanny(pImg, pCannyImg, , , );
         cvNamedWindow("canny",);
         cvNamedWindow("Image1",);
         cvNamedWindow("Histogram",);
         cvShowImage("Image1",pImg);
         cvShowImage("Histogram", hist_img);
         cvShowImage( "canny", pCannyImg );

         cvWaitKey();
         cvReleaseImage(&pImg);
         cvReleaseImage(&hist_img);
         cvReleaseImage(&pCannyImg);
         return ;
     }

     return -;
 }

效果图