Opencv处理图像--轮廓提取

蔚落 2022-05-17 07:38 301阅读 0赞

## Opencv处理图像--轮廓提取 ##

使用cvfindContours 对图像进行轮廓检测。

#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;
    }

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[70]: /images/20220517/54bbfbf512d74e039ce18a0149f3781d.png