opencv根据面积提取轮廓

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1、Opencv提取轮廓(去掉面积小于某个值的轮廓)#include#include"cv.h"#include"cxcore.h"#include"highgui.h"#includeusingnamespacestd;#pragmacomment(lib,"cv.lib")#pragmacomment(lib,"cxcore.lib")#pragmacomment(lib,"highgui.lib")structPosition{intx,y;};doubleper[256];//保存灰度概率IplImage*FindCountours(IplImage

2、*src,IplImage*pContourImg);intImageStretchByHistogram(IplImage*src,IplImage*dst);IplImage*Hist_Equalization(IplImage*srcimg);voidproBorder(IplImage*src);//边界的处理voidGetBackImage(IplImage*src,IplImage*src_back);voidThreshold(IplImage*src);intGetThreshold(double*constprob);otherstaffoftheCentre.During

3、thewar,ZhuwastransferredbacktoJiangxi,andDirectorofthenewOfficeinJingdezhen,JiangxiCommitteeSecretary.Startingin1939servedasrecorderoftheWestNorthOrganization,SecretaryoftheSpecialCommitteeAfterthevictoryofthelongMarch,hehasbeentheNorthwestOfficeoftheFederationofStateenterprisesMinister,ShenmufuguS

4、ARmissions,DirectorofNingxiaCountypartyCommitteeSecretaryandrecorderoftheCountypartyCommitteeSecretary,MinistersandvoidGetprobability(IplImage*src);doubleEccentricity(IplImage*src);voidmain(){//IplImage*src=cvLoadImage("C:\image19\A634.jpg",-1);//灰度图的方式载入IplImage*src=cvLoadImage("C:\image19\A85

5、7.jpg",-1);IplImage*dst=cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,3);IplImage*src_back=cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,src->nChannels);GetBackImage(src,src_back);dst=FindCountours(src_back,dst);cvNamedWindow("test",CV_WINDOW_AUTOSIZE);cvShowImage("test",dst);cvWaitKey(0);cvReleaseImage(&s

6、rc);cvReleaseImage(&dst);}voidGetBackImage(IplImage*src,IplImage*src_back){//cvCvtColor(src,src,CV_RGB2GRAY);//灰度化IplImage*tmp=cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,3);//创建结构元素otherstaffoftheCentre.Duringthewar,ZhuwastransferredbacktoJiangxi,andDirectorofthenewOfficeinJingdezhen,JiangxiCommitte

7、eSecretary.Startingin1939servedasrecorderoftheWestNorthOrganization,SecretaryoftheSpecialCommitteeAfterthevictoryofthelongMarch,hehasbeentheNorthwestOfficeoftheFederationofStateenterprisesMinister,Shenmufug