opencv3检测凸包convexHull函数-使用方法一

#include<iostream>
#include<opencv2/opencv.hpp>
#include<vector>

using namespace cv;
using namespace std;

int main()
{
	//先初始化变量
	Mat srcImage(Size(600, 600), CV_8UC3, Scalar(0));
	Mat saveImage;
	srcImage.copyTo(saveImage);
	RNG &rng = theRNG();

	char key;
	Point midPoint;
	//hull 变量用来存储点的序号
	vector<int> hull;
	while (1)
	{
		//因为下面是入栈操作，所以，需要在循环内为变量分配空间，否则，栈内的数据无法出栈
		vector<Point> points;
		//首先确定随机点的坐标，以及随机点落定的范围
		int count = (unsigned int)rng % 100 + 3;
		for (int i = 0; i < count; i++)
		{
			//确定随机点的范围
			midPoint.x = rng.uniform(srcImage.cols / 4, srcImage.cols * 3 / 4);
			midPoint.y = rng.uniform(srcImage.rows / 4, srcImage.rows * 3 / 4);
			points.push_back(midPoint);
		}

		
		//该用法结束后，hull将外围点的序号存放起来
		convexHull(Mat(points), hull, true);

		//绘制随机点
		for (int i = 0; i < points.size(); i++)
		{
			circle(srcImage, points[i], 0, Scalar(255, 255, 0), 3, 8);
		}

		//绘制凸包
		Point point0 = points[hull[hull.size() - 1]];
		for (int i = 0; i < hull.size(); i++)
		{
			Point curPoint = points[hull[i]];

			line(srcImage, point0, curPoint, Scalar(255, 255, 0), 3, 8);

			point0 = curPoint;
		}

		imshow("【显示窗口】", srcImage);
		
		//停止在没有按键事件发生时
		key = waitKey();
		if (key == 27)
			break;
		else
			srcImage = Scalar(0);
			/*saveImage.copyTo(srcImage);*/
	}

	return 0;
}

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来源：CSDN

作者：轩落_翼

链接：https://blog.csdn.net/qq_23880193/article/details/49257075