图像形态学处理的概念

1、 cvErode(src,dst,element,1;/腐蚀图像 cvDilate(dst,dst,element,1;/膨胀图像 else cvDilate(dst,dst,element,1;/膨胀图像 cvErode(src,dst,element,1;/腐蚀图像 cvReleaseStructuringElement(&element; cvShowImage("Open/Close",dst; void ErodeDilate(int pos int n=erode_dilate_pos-max_iters; int an=n>0?n:-n; ele

2、ment cvCreateStructuringElementEx(an*2+1,an*2+1,an,an,element_shape,0; if (n<0 cvErode(src,dst,element,1; else = cvDilate(src,dst,element,1; cvReleaseStructuringElement(&element; cvShowImage("Erode/Dilate",dst; int main(int argc,char *argv char *filename =argc =2?argv1:(char *"

3、lena.jpg" if( (src = cvLoadImage(filename,1 = 0 return -1; dst=cvCloneImage(src; cvNamedWindow("Open/Close",1; cvNamedWindow("Erode/Dilate",1; open_close_pos = erode_dilate_pos = max_iters; cvCreateTrackbar("iterations","Open/Close",&open_close_pos,ma

4、x_iters* 2+1,OpenClose; cvCreateTrackbar("iterations","Erode/Dilate",&erode_dilate_pos,ma x_iters*2+1, ErodeDilate; for (; int c; OpenClose(open_close_pos; ErodeDilate(erode_dilate_pos; c= cvWaitKey(0; if (c=27 break; switch(c case 'e': element_shape=CV_SHAPE_ELLIPSE;

5、 break; case 'r': element_shape=CV_SHAPE_RECT; break; case 'r': element_shape=(element_shape+1%3; break; default: break; cvReleaseImage(&src; cvReleaseImage(&dst; cvDestroyWindow("Open/Close" cvDestroyWindow("Erode/Dilate" return 0; /* 腐蚀和膨胀，看上去好像是一对互逆的操作，实际上，这两种操作不具有互逆的 关系。 开运算和闭运算正是依据腐蚀和膨胀的不可逆性，演变而来的。 先腐蚀后膨胀的过程就称为开运算。 闭运算是通过对腐