前两篇博文分别介绍了图像的边缘检测和轮廓检测,本文接着介绍图像的轮廓检测和轮廓外接矩形:
一、代码部分:
// extract_contours.cpp : 定义控制台应用程序的入口点。//#include "stdafx.h"#include<cv.h> #include<highgui.h> using namespace cv;using namespace std;int _tmain(int argc, _TCHAR* argv[]){ //load src image string img_name="..//image_norm//71253.jpg"; Mat image=imread(img_name); imshow("src_image",image); cvWaitKey(0); //convert into gray image Mat gray(image.size(),CV_8U); cvtColor(image,gray,CV_BGR2GRAY); imshow("gray",gray); cvWaitKey(0); //convert into bin image threshold(gray,gray,128,255,THRESH_BINARY);//转换成2值图像 imshow("binary",gray); cvWaitKey(0); // Detecting contours vector<vector<Point>> contours; //定义轮廓集合 vector<Vec4i> hierarchy; findContours(gray, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);//CV_RETR_EXTERNAL只检测外部轮廓 // draw black contours on white image Mat result(gray.size(),CV_8U,Scalar(255)); int index = 0; for (; index >= 0; index = hierarchy[index][0]) //hierarchy[index][0]表示后一个轮廓 { Scalar color(rand() & 255, rand() & 255, rand() & 255); drawContours(result, contours, index, Scalar(0), 1, 8, hierarchy);//描绘字符的外轮廓 Rect rect = boundingRect(contours[index]);//检测外轮廓 rectangle(result, rect, Scalar(0,0,255), 3);//对外轮廓加矩形框 } imshow("Contours on white image",result); cvWaitKey(0); //draw contours on the original image Mat original=imread(img_name); int index_ori = 0; for (; index_ori >= 0; index_ori = hierarchy[index_ori][0]) { Scalar color(rand() & 255, rand() & 255, rand() & 255); //描绘字符的外轮廓 drawContours(original,contours,index_ori,Scalar(255),1,8, hierarchy); Rect rect = boundingRect(contours[index_ori]);//检测外轮廓 //对外轮廓加加矩形框 rectangle(original, rect, Scalar(0,0,255), 3); } //print contours info cout<<"The number of external contours:"<<contours.size()<<endl; imshow("Contours on original image",original); waitKey(0); return 0;}
二、程序运行效果图:
(1)源图像:
(2)灰度图像:
(3)二进制图像:
(4)轮廓在空白图像上显示:
(5)在原图像上画出图像的轮廓以及外接矩形:
至此,图像的轮廓检测以及外接矩形已经实现,欢迎高人指正。
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