opencv [c++] 轮廓查找与绘制及轮廓特征属性的应用

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我是靠谱客的博主开放故事，最近开发中收集的这篇文章主要介绍opencv [c++] 轮廓查找与绘制及轮廓特征属性的应用，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

1.轮廓查找与绘制代码

#include<opencv2/opencv.hpp>
#include<opencv2/core.hpp>
#include<opencv2/highgui.hpp>
#include<iostream>

using namespace std;
using namespace cv;


Mat src, temp;
vector<vector<Point>> contours;
vector<Vec4i> hierarchy;
int main() 
{
	src = imread("src1.png");   //待搜索图像
	temp = src.clone();  //原图克隆图像
	cvtColor(src, src, COLOR_BGR2GRAY);
	threshold(src, src, 100, 255, THRESH_BINARY);
	imshow("src", src);
	//查找轮廓并绘制轮廓【查找轮廓之前要将输入凸显转化为二值图】
	findContours(src, contours, hierarchy,RETR_LIST,CHAIN_APPROX_SIMPLE);
	drawContours(temp, contours, -1, Scalar(0, 255, 0), 2, 8);
	imshow("temp", temp);



	waitKey(0);

}

2.绘制轮廓的凸包

#include<opencv2/opencv.hpp>
#include<opencv2/core.hpp>
#include<opencv2/highgui.hpp>
#include<iostream>

using namespace std;
using namespace cv;


int main() 
{
	Mat src = imread("1.png");   //读取图像
	Mat dst = src.clone();  //原图的克隆图像
	cvtColor(src, src, COLOR_BGR2GRAY);  //灰度化
	threshold(src, src, 100, 255, THRESH_BINARY_INV);
	//imshow("src", src);
	vector<vector<Point>> contours;
	vector<Vec4i> hierachy;
	findContours(src, contours, hierachy, RETR_EXTERNAL, CHAIN_APPROX_NONE);
	//drawContours(dst, contours, -1, Scalar(0, 255, 0), 2, 8);
	//imshow("dst", dst);
	//应用凸包检测
	vector<vector<Point>> hull(contours.size());
	for (int i = 0; i < contours.size(); i++)
	{
		convexHull(contours[i], hull[i], true);  //为每一个轮廓都查找凸包
	}
	for (int i = 0; i < contours.size(); i++)
	{
		drawContours(dst, contours, i, Scalar(0, 255, 255), 2, 8); //绘制轮廓
		drawContours(dst, hull, i, Scalar(0, 255, 0), 2, 8); //绘制轮廓
	}
	imshow("hull", dst);

	waitKey(0);

}

3.绘制轮廓的外接矩形 Rectangle1

#include<opencv2/opencv.hpp>
#include<opencv2/core.hpp>
#include<opencv2/highgui.hpp>
#include<iostream>

using namespace std;
using namespace cv;


int main()
{
	Mat src = imread("1.png");   //读取图像
	Mat dst = src.clone();  //原图的克隆图像
	cvtColor(src, src, COLOR_BGR2GRAY);  //灰度化
	threshold(src, src, 100, 255, THRESH_BINARY_INV);  //二值化
	//imshow("src", src);
	vector<vector<Point>> contours;
	vector<Vec4i> hierarchy;
	findContours(src, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_NONE);  //查找轮廓

	//画出轮廓并绘制矩形
	vector<Rect> boundRect(contours.size());    //定义外接矩形的集合
	drawContours(dst, contours, -1, Scalar(0, 255, 255), 2, 8); //绘制轮廓
	//遍历每一个轮廓，对每一个轮廓画 Rectangle1
	for (int i = 0; i < contours.size(); i++)
	{
		boundRect[i] = boundingRect((Mat)contours[i]);   //查找每一个外界矩形
		rectangle(dst, boundRect[i], Scalar(0,255,0),2,8);
	}
	

	imshow("dst", dst);

	waitKey(0);

}

4.绘制轮廓的最小外接矩形 Rectangle2

#include<opencv2/opencv.hpp>
#include<opencv2/core.hpp>
#include<opencv2/highgui.hpp>
#include<iostream>

using namespace std;
using namespace cv;


int main()
{
	Mat src = imread("1.png");   //读取图像
	Mat dst = src.clone();  //原图的克隆图像
	cvtColor(src, src, COLOR_BGR2GRAY);  //灰度化
	threshold(src, src, 100, 255, THRESH_BINARY_INV);  //二值化
	//查找轮廓
	vector<vector<Point>> contours;
	vector<Vec4i> hierarchy;
	findContours(src, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_NONE);
	//定义最小外接矩形的集合 以及  不带方向的外接矩形
	vector<RotatedRect> Rect2(contours.size());
	vector<Rect> Rect1(contours.size());
	//定义外接矩形四个端点的集合
	Point2f rect[4];
	for (int i = 0; i < contours.size(); i++)
	{
		drawContours(dst, contours, i, Scalar(0, 255, 0), 2, 8);   //描绘轮廓
		//生成最小外接矩形 Rectangle2
		Rect2[i] = minAreaRect((Mat)contours[i]);
		//生成不带方向的外接矩形  Rectangle1
		Rect1[i] = boundingRect((Mat)contours[i]);
		Rect2[i].points(rect);  //将最小外接矩形的四个端点复制给rect数组


		rectangle(dst, Rect1[i], Scalar(255, 0, 0), 2, 8);
		for (int j = 0; j < 4; j++)
		{
			line(dst, Point(rect[j]), Point(rect[(j + 1) % 4]), Scalar(0, 255, 0), 2, 8);
		}
		
	}
	

	imshow("dst", dst);

	waitKey(0);

}

5.绘制轮廓的最小外接圆 Circle 【MinEnclosingCircle】

#include<opencv2/opencv.hpp>
#include<opencv2/core.hpp>
#include<opencv2/highgui.hpp>
#include<iostream>

using namespace std;
using namespace cv;

Mat edges;  //Canny边缘检测的边缘轮廓
int main()
{
	Mat src = imread("1.png");   //读取图像
	Mat dst = src.clone();  //原图的克隆图像
	cvtColor(src, src, COLOR_BGR2GRAY);
	Canny(src, edges, 100, 255);
	
	//生成轮廓
	vector<vector<Point>> contours;
	vector<Vec4i> hierarchy;
	Point2f centor;
	float radius;
	findContours(edges, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_NONE);
	for (int i = 0; i < contours.size(); i++)
	{
		drawContours(dst, contours, i, Scalar(0, 255, 0), 2, 8);
		minEnclosingCircle((Mat)contours[i], centor, radius);
		circle(dst, centor, radius, Scalar(255, 0, 0), 2, 8);
	}



	imshow("dst", dst);

	waitKey(0);

}