Update main.cpp

main.cpp

@@ -7,9 +7,7 @@ using namespace std;
 
 int main( int argc, char** argv )
 {
-
-    namedWindow("Control", CV_WINDOW_AUTOSIZE); //create a window called "Control"
-
+    //红色在HSV空间中有两个分布区间
     int R_LowH1 = 0;     //red1 in HSV
     int R_HighH1 = 10;
 
@@ -39,23 +37,27 @@ int main( int argc, char** argv )
 
     Mat imgOriginal=imread("blue.jpg");
 
-    Mat B_imgThresholded,R_imgThresholded1,R_imgThresholded2;
+    Mat B_imgThresholded,R_imgThresholded1,R_imgThresholded2;   //用来存储红色和蓝色图片的黑白图
     unsigned int number=imgOriginal.cols*imgOriginal.rows;
-    unsigned int number_threshold=number*2/3;
+    unsigned int number_threshold=number*2/3;                   //像素点个数阈值
+    //用来存储红色区域和蓝色区域像素点的个数
     unsigned int B_not_zero_num=0,R_not_zero_num=0,R_not_zero_num1=0,R_not_zero_num2=0;
 
     Mat imgHSV;
     vector<Mat> hsvSplit;
-    cvtColor(imgOriginal, imgHSV, COLOR_BGR2HSV); //Convert the captured frame from BGR to HSV
+    cvtColor(imgOriginal, imgHSV, COLOR_BGR2HSV); //将原图转换到HSV空间
 
     //因为我们读取的是彩色图，直方图均衡化需要在HSV空间做
     split(imgHSV, hsvSplit);
-    equalizeHist(hsvSplit[2],hsvSplit[2]);
+    equalizeHist(hsvSplit[2],hsvSplit[2]);  //增强对比度
     merge(hsvSplit,imgHSV);
-
+
+    //确定红蓝像素点，存储为黑白图
     inRange(imgHSV, Scalar(B_LowH, B_LowS, B_LowV), Scalar(B_HighH, B_HighS, B_HighV), B_imgThresholded); 
     inRange(imgHSV, Scalar(R_LowH1, R_LowS1, R_LowV1), Scalar(R_HighH1, R_HighS1, R_HighV1), R_imgThresholded1);
     inRange(imgHSV, Scalar(R_LowH2, R_LowS2, R_LowV2), Scalar(R_HighH2, R_HighS2, R_HighV2), R_imgThresholded2);
+
+    //对红蓝像素点计数，个数超过阈值即认为是红色或蓝色
     B_not_zero_num=countNonZero(B_imgThresholded);
     R_not_zero_num1=countNonZero(R_imgThresholded1);
     R_not_zero_num2=countNonZero(R_imgThresholded2);