cvMatchShapes匹配

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转： http://blog.sina.com.cn/s/blog_73ee929c01010f45.html

函数 cvMatchShapes 比较两个形状。三个实现方法全部使用 Hu 矩.
Hu矩具有平移、伸缩和旋转不变形.

那么在匹配中，如下两种方法哪种会更精确些？
1、先进行canny边缘检测将得到的边缘信息作为输入再用cvMatchShapes
2、先进行角点检测将得到的角点信息作为输入再用cvMatchShapes

边缘检测应该会更准确一些.

# include "cv.h"
# include "highgui.h"
# include <iostream>
using namespace std;

int main()
{
   IplImage *mode = cvLoadImage("D:\\picture\\jz.jpg", 1);
   IplImage *test = cvLoadImage("D:\\picture\\stuff.jpg", 1);
   IplImage* bw_mode = cvCreateImage(cvGetSize(mode),mode->depth,1);
   IplImage* bw_test = cvCreateImage(cvGetSize(test),mode->depth,1);
   IplImage* canny_mode = cvCreateImage(cvGetSize(mode),mode->depth,1);
   IplImage* canny_test = cvCreateImage(cvGetSize(test),mode->depth,1);

   CvMemStorage *mode_mems=cvCreateMemStorage();
   CvSeq *mode_seqs;
   CvMemStorage *test_mems=cvCreateMemStorage();
   CvSeq *test_seqs;

   cvCvtColor(mode,bw_mode,CV_RGB2GRAY);
   cvCvtColor(test,bw_test,CV_RGB2GRAY);

   //model contours
   cvCanny(bw_mode,canny_mode,50,60);
   cvFindContours( canny_mode, mode_mems,
                  &mode_seqs,sizeof(CvContour),CV_RETR_TREE);

   //test contours
   cvCanny(bw_test,canny_test,50,60);
   cvFindContours( canny_test, test_mems,
                  &test_seqs,sizeof(CvContour),CV_RETR_TREE);

   double matching=cvMatchShapes( test_seqs, mode_seqs, 3);
   cout << matching << endl;

   system("pause");
   //释放内存
}

也可以直接用灰度图进行匹配。
返回值越靠近0，说明两张图像相似度越高。
你用的是不是两张完全一样的图片啊。
不妨贴一下。

cvMatchShapes

由 Venus » 2009-07-23 22:26

int cvMatchShapes_test()
{
IplImage *mode = cvLoadImage("D:\\lena.jpg", 1);
IplImage *test = cvLoadImage("D:\\test3.bmp", 1);
IplImage* bw_mode = cvCreateImage(cvGetSize(mode),mode->depth,1);
IplImage* bw_test = cvCreateImage(cvGetSize(test),mode->depth,1);
IplImage* canny_mode = cvCreateImage(cvGetSize(mode),mode->depth,1);
IplImage* canny_test = cvCreateImage(cvGetSize(test),mode->depth,1);

CvMemStorage *mode_mems=cvCreateMemStorage();
CvSeq *mode_seqs;
CvMemStorage *test_mems=cvCreateMemStorage();
CvSeq *test_seqs;

cvCvtColor(mode,bw_mode,CV_RGB2GRAY);
cvCvtColor(test,bw_test,CV_RGB2GRAY);

//model contours
//cvCanny(bw_mode,canny_mode,50,60);
cvFindContours( bw_mode, mode_mems,
&mode_seqs,sizeof(CvContour),CV_RETR_TREE);

//test contours
//cvCanny(bw_test,canny_test,50,60);
cvFindContours( bw_test, test_mems,
&test_seqs,sizeof(CvContour),CV_RETR_TREE);

double matching=cvMatchShapes( test_seqs, mode_seqs, 3);
printf("%f",matching);

cvReleaseImage( &mode ); //ÊÍ·ÅÍ¼Ïñ
cvReleaseImage( &test );
cvReleaseImage( &bw_mode ); //ÊÍ·ÅÍ¼Ïñ
cvReleaseImage( &bw_test );
cvReleaseImage( &canny_mode ); //ÊÍ·ÅÍ¼Ïñ
cvReleaseImage( &canny_test );
//ÊÍ·ÅÄÚ´æ
return 1;
}

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