opencv3寻找最小包围矩形在图像中的应用-滚动条

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

 using namespace cv;
 using namespace std;

 int g_nMinThred = , g_nMaxThred = ;
 int g_nThick = ;

 int main()
 {
     Mat srcImage = imread("group.jpg");

     namedWindow("【原图】", );
     imshow("【原图】", srcImage);

     createTrackbar("minthred", "【原图】", &g_nMinThred, , );
     createTrackbar("maxthred", "【原图】", &g_nMaxThred, , );
     createTrackbar("thick", "【原图】", &g_nThick, , );

     //先对图像进行空间的转换（为了之后要提取二值图像）
     Mat grayImage;
     cvtColor(srcImage, grayImage, CV_BGR2GRAY);
     //对图像进行滤波，达到较好的效果
     GaussianBlur(grayImage, grayImage, Size(, ), , );
     imshow("【滤波后的图像】", grayImage);

     char key;
     while ()
     {
         //用边缘检测的方式获取二值图像
         Mat cannyImage;
         Canny(grayImage, cannyImage, g_nMinThred, g_nMaxThred, );

         //在二值图像中提取轮廓
         vector<vector<Point>> contours;
         vector<Vec4i> hierarchy;
         findContours(cannyImage, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(, ));

         //对每个轮廓的点集 找逼近多边形
         vector<vector<Point>> approxPoint(contours.size());
         for (int i = ; i < (int)contours.size(); i++)
         {
             //rectPoint变量中得到了矩形的四个顶点坐标
             RotatedRect rectPoint = minAreaRect(contours[i]);
             //定义一个存储以上四个点的坐标的变量
             Point2f fourPoint2f[];
             //将rectPoint变量中存储的坐标值放到 fourPoint的数组中
             rectPoint.points(fourPoint2f);

             //根据得到的四个点的坐标  绘制矩形
             for (int i = ; i < ; i++)
             {
                 line(cannyImage, fourPoint2f[i], fourPoint2f[i + ]
                     , Scalar(, , ), g_nThick);
             }
             line(cannyImage, fourPoint2f[], fourPoint2f[]
                 , Scalar(, , ), g_nThick);
         }

         imshow("【绘制后的图像】", cannyImage);

         key = waitKey();
         if (key == )
             break;
     }

     return ;
 }

 

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