cvMorphologyEx 形态学操作：开闭运算，形态学梯度，礼帽和黑帽

1.开运算：CV_MOP_OPEN，先腐蚀（cvErode）再膨胀(cvDilate)，去除亮点，可以将做了阀值化细胞图像的细胞分开

2.闭运算：CV_MOP_CLOSE，先膨胀(cvDilate)再cvErode，去除暗点

3.形态学梯度：cvDilate-cvErode，用于求边界

4.礼帽：src-开运算，突出亮点

5.黑帽：闭运算-src，突出暗点

程序：

代码：

#include "cv.h"

#include "cxcore.h"

#include "highgui.h"

#include <iostream>

int morphology(int argc,char** argv)

{

IplImage* src=cvLoadImage("e:\\picture\\123.bmp",0);   //不一定要是黑白的

IplImage* dst1=cvCreateImage(cvGetSize(src),src->depth,src->nChannels);

IplImage* dst2=cvCreateImage(cvGetSize(src),src->depth,src->nChannels);

IplImage* dst3=cvCreateImage(cvGetSize(src),src->depth,src->nChannels);

IplImage* dst4=cvCreateImage(cvGetSize(src),src->depth,src->nChannels);

IplImage* dst5=cvCreateImage(cvGetSize(src),src->depth,src->nChannels);

IplImage* temp=cvCreateImage(cvGetSize(src),src->depth,src->nChannels);

cvZero(dst1);

cvZero(dst2);

cvZero(dst3);

cvZero(dst4);

cvZero(dst5);

cvZero(temp);

cvNamedWindow("src");

cvNamedWindow("open");

cvNamedWindow("close");

cvNamedWindow("gradient");

cvNamedWindow("tophat");

cvNamedWindow("blackhat");

int value[]={1,1,1,

1,1,1,

1,1,1

};

IplConvKernel* kernel=cvCreateStructuringElementEx(3,3,1,1,CV_SHAPE_CUSTOM,value); //构建3*3的核

cvMorphologyEx(src,dst1,NULL,kernel,CV_MOP_OPEN,1); //开运算

cvMorphologyEx(src,dst2,NULL,kernel,CV_MOP_CLOSE,1); //闭运算

cvMorphologyEx(src,dst3,NULL,kernel,CV_MOP_GRADIENT,1);//形态学梯度

cvMorphologyEx(src,dst4,temp,kernel,CV_MOP_TOPHAT,1); //礼帽

cvMorphologyEx(src,dst5,temp,kernel,CV_MOP_BLACKHAT,1); //黑帽

cvShowImage("src",src);

cvShowImage("open",dst1);

cvShowImage("close",dst2);

cvShowImage("gradient",dst3);

cvShowImage("tophat",dst4);

cvShowImage("blackhat",dst5);

cvWaitKey(0);

cvDestroyWindow("src");

cvDestroyWindow("open");

cvDestroyWindow("close");

cvDestroyWindow("gradient");

cvDestroyWindow("tophat");

cvDestroyWindow("blackhat");

cvReleaseImage(&src);

cvReleaseImage(&dst1);

cvReleaseImage(&dst2);

cvReleaseImage(&dst3);

cvReleaseImage(&dst4);

cvReleaseImage(&dst5);

cvReleaseImage(&temp);

return 0;

}

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