OpenCv cvFindContours 查询轮廓并返回轮廓数量

Hai

cvFindContours(binaryim, contourStorage, &contourSeq, sizeof(CvContour),CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0));

&contourSeq是用于储存轮廓的序列

contourSeq->total  所表示的是contourSeq 当前指针所指向轮廓 所包含像素点的数目而非轮廓总数

采用如下放下计数轮廓数量:

for(;contourSeq!=0;contourSeq=contourSeq->h_next)
{
contourcount++;
}
printf("contour count is %d",contourcount);

可直接运行代码如下：

#include "cv.h"
#include "highgui.h"
#include <stdio.h>
#include <math.h>
#include <iostream>
#include <ctime>
using namespace cv;
CvSeq *contourSeq = NULL;

IplImage* ImageThreshold(IplImage* src)
{
    IplImage *gray,*binaryim;
    int height,width;
    gray=cvCreateImage(cvGetSize(src),src->depth,1);
    cvCvtColor(src,gray,CV_BGR2GRAY);
    height=gray->height;
    width=gray->width;
    printf("The canvas'width is ：%d,  height is ：%d

",width,height);

    binaryim=cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);
    cvThreshold(gray,binaryim,128,255,CV_THRESH_BINARY_INV);
    return binaryim;

}

IplImage* printlunkuo(IplImage *binaryim)
{
    CvMemStorage *contourStorage=cvCreateMemStorage();
    cvFindContours(binaryim, contourStorage, &contourSeq, sizeof(CvContour),CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0)); 
    
    IplImage *pOutlineImage = cvCreateImage(cvGetSize(binaryim), IPL_DEPTH_8U, 3);    
    int nLevels = 5;
    cvRectangle(pOutlineImage,cvPoint(0,0),cvPoint(pOutlineImage->height,pOutlineImage->width),CV_RGB(0,0,0),CV_FILLED);
    cvDrawContours(pOutlineImage, contourSeq, CV_RGB(255,0,0), CV_RGB(0,255,0), nLevels,0.5); 

    int contourcount=0;
    for(;contourSeq!=0;contourSeq=contourSeq->h_next)
    {
        contourcount++;
    }
    printf("contour count is %d",contourcount);


    
    return pOutlineImage;
    


}


int main(int argc,char** argv)
{
    IplImage *src,*binaryim,*contourim;
    src=cvLoadImage("gtest2.bmp",1);
    binaryim=ImageThreshold(src);
    contourim = printlunkuo(binaryim);
    
    
    cvSaveImage("save.bmp", contourim);
    
    
    
    
    
    
    
    cvNamedWindow("Binary_image",0);    
    cvShowImage("Binary_image",binaryim);
    cvNamedWindow("Contour_image",0);    
    cvShowImage("Contour_image",contourim);
    cvWaitKey(0);

    cvDestroyWindow("Binary_image");
    cvReleaseImage(&binaryim);
    cvDestroyWindow("Contours_image");
    cvReleaseImage(&contourim);


}