opencv HSV找颜色，找轮廓用最小旋转矩形框出

#include <opencv2/opencv.hpp>
#include<iostream>
#include<string>
using namespace cv;
using namespace std;
//输入图像
Mat img;
//灰度值归一化
Mat bgr;
//HSV图像
Mat hsv;
//色相

string windowName = "src";
//输出图像的显示窗口
string dstName = "dst";
//输出图像
Mat dst;
Mat mask;
//回调函数
int main(int argc, char** argv)
{
	//输入图像
	img = imread("G:\text.jpg");
	if (!img.data || img.channels() != 3)
		return -1;
	dst = Mat::zeros(img.size(), img.type());
	bgr = img.clone();
	//颜色空间转换
	cvtColor(bgr, hsv, CV_BGR2HSV);
	inRange(hsv, Scalar(35, 43, 46), Scalar(77, 255,255), mask);
	//掩模到原图的转换
	for (int r = 0; r < bgr.rows; r++)
	{
		for (int c = 0; c < bgr.cols; c++)
		{
			if (mask.at<uchar>(r, c) == 255)
			{
				dst.at<Vec3b>(r, c) = bgr.at<Vec3b>(r, c);
			}
		}
	}
	//定义输出图像的显示窗口
	namedWindow(dstName, WINDOW_GUI_EXPANDED);
	
	/*Mat gay;
	
	cvtColor(gay, gay, COLOR_RGB2GRAY);*/

	vector<vector<Point> > contours;
	vector<Vec4i> hierarchy;
	findContours(mask, contours, hierarchy, RETR_CCOMP, CHAIN_APPROX_SIMPLE);
	for (int i = 0; i < contours.size(); i++)
	{

		RotatedRect box = minAreaRect(contours[i]);
		Point2f vertex[4];
		box.points(vertex);
		for (int i = 0; i < 4; i++)
			line(img, vertex[i], vertex[(i + 1) % 4], Scalar(100, 200, 211), 2, LINE_AA);
	}
	imshow(windowName, img);
	imshow(dstName, dst);
	waitKey(0);
	return 0;
}