Opencv处理图像之轮廓提取

#include<iostream>#include<opencv2/core/core.hpp>#include<opencv2/highgui/highgui.hpp>int main(){  IplImage* img = cvLoadImage("E://test.bmp",0);  IplImage* imgColor = cvCreateImage(cvGetSize(img),8,3); IplImage* contoursImage = cvCreateImage(cvSize(img->width,img->height),8,1);  cvNamedWindow("hui"); cvShowImage("hui",img); cvThreshold(img,img,100,255,CV_THRESH_BINARY); //二值化图像以100为阀值 cvNamedWindow("2"); cvShowImage("2",img);  CvSeq* contours = 0,* contoursTemp =0;  cvZero(contoursImage);  cvCvtColor(img,imgColor,CV_GRAY2BGR); //颜色转化函数   //img ：需要提前的图片需要二值 //storage：存放的空间 //contours：指向轮廓提取的第一个轮廓 //sizeof(CvContour)：采用的是哪一种结构以及大小 //CV_RETR_LIST：轮廓存储方式 //CV_CHAIN_APPROX_NONE：采用坐标集表示轮廓 CvMemStorage* storage = cvCreateMemStorage(0); int total = cvFindContours(img,storage,&contours,sizeof(CvContour),CV_RETR_LIST,CV_CHAIN_APPROX_NONE,cvPoint(0,0));  printf("%d",total); //输出总的轮廓数 contoursTemp = contours;  while(contoursTemp!=0){ for(int i = 0;i<contoursTemp->total;i++){ CvPoint *pt = (CvPoint*)cvGetSeqElem(contoursTemp,i); cvSetReal2D(contoursImage,pt->y,pt->x,255.0); cvSet2D(imgColor,pt->y,pt->x,cvScalar(0,0,255.0)); } contoursTemp = contoursTemp->h_next;  } cvNamedWindow("img"); cvShowImage("img",imgColor); cvNamedWindow("contoursImage"); cvShowImage("contoursImage",contoursImage); cvWaitKey(0); return 0;}