OpenCV學習之圖像輪廓提取

原創

2020-02-21 06:34

#include "highgui.h"  
#include "cv.h"  
#include <iostream>   

using namespace std;  

int main()  
{  
	int i=0;  
	int mode = CV_RETR_CCOMP;//設置提取輪廓模式  
	int contours_num=0;//提取輪廓的數目  
	CvScalar external_color;//繪製輪廓線的顏色  
	CvScalar hole_color;  
	CvMemStorage *storage = cvCreateMemStorage(0);  
	CvSeq *contours =0;//存儲提取的輪廓圖像  

	IplImage *pImg = NULL;  
	IplImage *pContourImg = NULL;//顯示提取的輪廓圖像  
	IplImage *src=cvLoadImage("E:/Code/filter_image.bmp",1);  

	pImg = cvCreateImage(cvGetSize(src),src->depth,1);  
	pContourImg =cvCreateImage(cvGetSize(pImg),IPL_DEPTH_8U,3);  
	cvCvtColor(src,pImg,CV_BGR2GRAY);//將讀取的圖像轉化爲灰度圖像  
	cvNamedWindow("src",1);  
	cvNamedWindow("contour",1);  
	cvShowImage("src",src);//顯示原圖  
	cvThreshold(pImg,pImg,200,255,CV_THRESH_BINARY);//二值化  
	mode = CV_RETR_LIST;  
	contours_num=cvFindContours(pImg,storage,&contours,sizeof(CvContour),mode,CV_CHAIN_APPROX_NONE);  
	cout<<contours_num<<" "<<endl;//打印找到的輪廓的數目  
	for (;contours!=0;contours=contours->h_next)  
	{  
		hole_color=CV_RGB(rand()&255,rand()&255,rand()&255);  
		external_color = CV_RGB(rand()&255,rand()&255,rand()&255);  
		cvDrawContours(pContourImg,contours,external_color,hole_color,1,2,8);  
	}  

	cvShowImage("contour",pContourImg);  
	cvWaitKey(0);  
	cvReleaseImage(&src);  
	cvReleaseImage(&pImg);  
	cvReleaseImage(&pContourImg);  
	cvReleaseMemStorage(&storage); 
	return 0;
}

本文轉載於http://www.cnblogs.com/gnuhpc/archive/2012/07/02/2573806.html

另一個利用findContours()的版本demo：http://blog.sina.com.cn/s/blog_662c78590100z0rg.html

貼在這裏備用學習。