Opencv处理图像--轮廓提取

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;
}

猜你喜欢

转载自blog.csdn.net/sm16111/article/details/81509576