由于項目需要，要對圖像中的最大連通域進行標定，并且存儲。首先需要使用cvFindCountour對邊緣進行標定，其實它的原理就是連通域的邊緣提取；其次就是對連通域進行大小判斷找出最大的連通域；最后當然就是進行Rect并且ROI了。如果有需要可以進行存儲。直接上源碼吧。

#include "cv.h"#include "cxcore.h"#include "highgui.h"?int main( int argc, char** argv ){?//聲明IplImage指針?IplImage* pImg = cvLoadImage("black.bmp",0);?IplImage* pContourImg = NULL;?CvMemStorage * storage = cvCreateMemStorage(0);?CvSeq * contour = 0;?CvSeq *contmax = 0;?int mode = CV_RETR_EXTERNAL;?cvShowImage( "src", pImg );?//為輪廓顯示圖像申請空間?//3通道圖像，以便用彩色顯示?pContourImg = cvCreateImage(cvGetSize(pImg),? IPL_DEPTH_8U,? 3);?//copy source image and convert it to BGR image?cvCvtColor(pImg, pContourImg, CV_GRAY2BGR);?//查找contour?cvFindContours( pImg, storage, &contour, sizeof(CvContour),? mode, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0));?//將輪廓畫出?? ?cvDrawContours(pContourImg, contour,? CV_RGB(255,0,0), CV_RGB(255, 0, 0),? 2, 2, 8, cvPoint(0,0));?int area,maxArea = 10;//設面積最大值大于10Pixel?for(;contour;contour = contour->h_next)?{? area = fabs(cvContourArea( contour, CV_WHOLE_SEQ )); //獲取當前輪廓面積? printf("area == %lf\n", area);? if(area > maxArea)? {?? contmax = contour;?? maxArea = area;? }?}?CvRect aRect = cvBoundingRect( contmax, 0 );?cvSetImageROI( pContourImg,aRect);?//顯示圖像?cvShowImage( "contour", pContourImg );?cvSaveImage("contour.bmp",pContourImg);?cvWaitKey(0);?//銷毀窗口?cvDestroyWindow( "src" );?cvDestroyWindow( "contour" );?//釋放圖像?cvReleaseImage( &pImg );?cvReleaseImage( &pContourImg );?cvReleaseMemStorage(&storage);?return 0;}

處理前的連通域

處理后的連通域

a.?二值化??

b.?得到輪廓的個數??

c.?將面積小于100的輪廓刪除??

d.?將寬、高?比例小于1的輪廓刪除??

e.?把面積最大的米粒用紅色框框畫出來??

#include <stdio.h>#include <cv.h>#include <cxcore.h>#include <highgui.h>#pragma comment(lib, "ml.lib")#pragma comment(lib, "cv.lib")#pragma comment(lib, "cvaux.lib")#pragma comment(lib, "cvcam.lib")#pragma comment(lib, "cxcore.lib")#pragma comment(lib, "cxts.lib")#pragma comment(lib, "highgui.lib")#pragma comment(lib, "cvhaartraining.lib")int main( int argc, char** argv )? {? ?IplImage* src;? ?src=cvLoadImage("black.jpg",CV_LOAD_IMAGE_GRAYSCALE);? ?IplImage* dst = cvCreateImage( cvGetSize(src), 8, 3 );? ?CvMemStorage* storage = cvCreateMemStorage(0);? ?CvSeq* contour = 0;? ?cvThreshold( src, src,120, 255, CV_THRESH_BINARY );//二值化?? ?cvNamedWindow( "Source", 1 );? ?cvShowImage( "Source", src );? ?//提取輪廓?? ?cvFindContours( src, storage, &contour, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );? ?cvZero( dst );//清空數組?? ?CvSeq* _contour =contour;?? ?double maxarea=0;? ?double minarea=100;? ?int n=-1,m=0;//n為面積最大輪廓索引，m為迭代索引?? ?for( ; contour != 0; contour = contour->h_next )? ?{? ??double tmparea=fabs(cvContourArea(contour));? ??if(tmparea < minarea)?? ??{? ???cvSeqRemove(contour,0); //刪除面積小于設定值的輪廓?? ???continue;? ??}? ??CvRect aRect = cvBoundingRect( contour, 0 );?? ??if ((aRect.width/aRect.height)<1)? ??{? ???cvSeqRemove(contour,0); //刪除寬高比例小于設定值的輪廓?? ???continue;? ??}? ??if(tmparea > maxarea)? ??{? ???maxarea = tmparea;? ???n=m;? ??}? ??m++;? ??//? CvScalar color = CV_RGB( rand()&255, rand()&255, rand()&255 );//創建一個色彩值?? ??CvScalar color = CV_RGB( 0, 255,255 );? ??//max_level 繪制輪廓的最大等級。如果等級為0，繪制單獨的輪廓。如果為1，繪制輪廓及在其后的相同的級別下輪廓。?? ??//如果值為2，所有的輪廓。如果等級為2，繪制所有同級輪廓及所有低一級輪廓，諸此種種。?? ??//如果值為負數，函數不繪制同級輪廓，但會升序繪制直到級別為abs(max_level)-1的子輪廓。??? ??cvDrawContours( dst, contour, color, color, -1, 1, 8 );//繪制外部和內部的輪廓?? ?}? ?contour =_contour; /*int k=0;*/? ?int count=0;? ?for( ; contour != 0; contour = contour->h_next )? ?{? ??count++;? ??double tmparea=fabs(cvContourArea(contour));? ??if (tmparea==maxarea /*k==n*/)? ??{? ???CvScalar color = CV_RGB( 255, 0, 0);? ???cvDrawContours( dst, contour, color, color, -1, 1, 8 );? ??}? ??/*k++;*/? ?}? ?printf("The total number of contours is:%d",count);? ?cvNamedWindow( "Components", 1 );? ?cvShowImage( "Components", dst );? ?cvWaitKey(0);? ?cvDestroyWindow( "Source" );? ?cvReleaseImage(&src);? ?cvDestroyWindow( "Components" );? ?cvReleaseImage(&dst);? ?return 0;? }?

以下是結果：

???????????

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