查找对象

 1 void getTemplate(void) {
 2     
 3     Mat src =frame;
 4     cvtColor(src,src,COLOR_BGR2GRAY);
 5     //    namedWindow("input image", CV_WINDOW_AUTOSIZE);
 6     //    imshow("input image", src);
 7 
 8     Rect roi_rect = Rect(10, 10,src.cols-20, src.rows-20);
 9     Mat ROI_Image = src(roi_rect);
10     imshow("ROI image", ROI_Image);
11 
12     Mat ROI_binary;
13     threshold(ROI_Image, ROI_binary, 0, 255, THRESH_BINARY | THRESH_OTSU);
14 
15     Mat kernel = getStructuringElement(MORPH_RECT, Size(7, 7), Point(-1, -1));
16     morphologyEx(ROI_binary, ROI_binary, MORPH_OPEN, kernel);
17     //    imshow("ROI_binary image", ROI_binary);
18 
19     Mat canny_output;
20     Canny(ROI_binary, canny_output, 100, 100 * 2);
21 
22     vector<vector<Point>> contours;
23     vector<Vec4i> hireachy;
24     findContours(canny_output, contours, hireachy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0));
25 
26     cvtColor(ROI_Image, ROI_Image, COLOR_GRAY2BGR);
27 
28     //获取轮廓最大的宽和高
29     double maxh = 0, maxw = 0;
30     for (size_t t = 0; t < contours.size(); t++) {
31         Rect rect = boundingRect(contours[t]);
32         if (rect.height > maxh) maxh = rect.height;
33         if (rect.width > maxw)  maxw = rect.width;
34 
35     }
36 
37     //筛选轮廓    
38     int num[14];
39     int i = 0;
40     for (size_t t = 0; t < contours.size(); t++) {
41         Rect rect = boundingRect(contours[t]);
42         if (rect.height > maxh*0.7 || rect.width > maxw*0.7)
43         {
44             rectangle(ROI_Image, rect, Scalar(0, 0, 255), 2);
45             num[i++] = t;
46         }
47     }
48 
49     for (int i = 0; i < 14; i++)
50         cout << "num:" << num[i] << endl;
51     //Rect rect = boundingRect(contours[num[3]]);
52     // = ROI_Image(rect);
53     //imshow("digital", digital);
54     imshow("drawControus", ROI_Image);
55 }