OpenCV_Find Contours (提取图像轮廓)

ゞ浴缸里的玫瑰 2022-09-30 14:44 183阅读 0赞

#include "stdafx.h"
    #include <opencv2/core/core.hpp>
    #include <opencv2/highgui/highgui.hpp>
    #include <opencv2/imgproc/imgproc.hpp>
    #include <iostream>
    int main()
    {
    	cv::Mat image = cv::imread("../../aTestImage/cow.jpg", 0);
    	if (!image.data)  return 0;
    
    	cv::Mat binary;
    	cv::threshold(image, binary, 60, 255, CV_THRESH_BINARY_INV);//获取二值图像
    
    	方式1：
    	闭运算-闭洞(先膨胀再腐蚀)
    	//cv::dilate(binary, binary, cv::Mat(), cv::Point(0, 0), 2);
    	//cv::erode(binary, binary, cv::Mat(), cv::Point(0, 0), 2);
    	开运算-去小(先腐蚀再膨胀)
    	//cv::erode(binary, binary, cv::Mat(), cv::Point(0, 0), 2);
    	//cv::dilate(binary, binary, cv::Mat(), cv::Point(0, 0), 2);
    
    	//方式2：
    	cv::Mat element5(5, 5, CV_8U, cv::Scalar(255));//自定义结构元素5x5
    	cv::morphologyEx(binary, binary, cv::MORPH_CLOSE, element5);//闭运算
    	cv::morphologyEx(binary, binary, cv::MORPH_OPEN , element5);//开运算
    
    	//cv::namedWindow("Closed_Opened");
    	//cv::imshow("Closed_Opened", binary);
    
    	std::vector <std::vector<cv::Point>>contours;
    
    	//从经过开闭运算的二值图像中提取轮廓
    	cv::findContours(binary, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);//获取所有external轮廓
    	
    	//画轮廓到白色背景图片上
    	//cv::Mat result(image.size(), CV_8U, cv::Scalar(255));//定义8位纯白图片一张
    	//cv::drawContours(result, contours, -1, cv::Scalar(0), 2);
    	//cv::namedWindow("result");
    	//cv::imshow("result", result);
    
    	移除过长或过短轮廓。。。。。
    	//int cmin = 100;
    	//int cmax = 1000;
    	//std::vector<std::vector<cv::Point>>::const_iterator itc = contours.begin();
    	//while (itc != contours.end())
    	//{
    	//	if (itc->size()> cmax || itc->size()< cmin)
    	//	{
    	//		itc = contours.erase(itc);
    	//	}
    	//	else
    	//	{
    	//		++itc;
    	//	}
    	//}
    
    	//画轮廓到原始图像上
    	cv::Mat image1 = cv::imread("../../aTestImage/cow.jpg");
    	cv::drawContours(image1, contours, -1, cv::Scalar(255, 255, 255), 2);
    	cv::namedWindow("result11");
    	cv::imshow("result11", image1);
    
    	cv::waitKey(0);
    	return 0;
    }

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