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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