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   1: cvtColor(imgSrc, imgG, CV_BGR2GRAY);

   2: threshold(imgG, imgBW, 100, 255, THRESH_BINARY);

   3: vector<vector<Point>> contours;

   4: vector<Vec4i> hierarchy;

   5:  

   6: findContours(imgBW, contours, hierarchy, RETR_TREE, CV_CHAIN_APPROX_SIMPLE);

   1: for (int i = 0; i < contours.size(); i++) {

   2:         cout << "contour # " << i << endl;

   3:         // 點

   4:         for (int j = 0; j < contours[i].size(); j++)

   5:         {

   6:             Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255) );

   7:             circle(imgDst, contours[i][j], 4, color, 2, 8);

   8:         }

   9:         drawContours(imgDst2, contours, i, Scalar(0, 0, 255),2);

  10:         drawContours(imgDst3, contours, i, Scalar(0, 0, 255), -1);

  11:  

  12:         cout << contours[i] << endl;

  13:     }

   1: findContours(imgBW, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);

   1:  

   2:     for (int i = 0; i < contours.size(); i++) {

   3:         cout << "contour # " << i << endl;

   4:         imgMask = Mat::zeros(imgSrc.size(), CV_8UC1);

   5:         drawContours(imgMask, contours, i, Scalar(255), -1);

   6:         Mat imgROI;

   7:         imgSrc.copyTo(imgROI, imgMask);

   8:         string name = std::to_string(i);

   9:         imshow(name, imgROI);

  10: }

   1: cout << "mean = " << mean(imgSrc, imgMask) << endl;