Group closer white pixels together and draw a rectangle around them in OpenCV

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没有蜡笔的小新
没有蜡笔的小新 2021-01-20 00:57

I want to group these white pixels that are closer to each other and draw a rectangle around them in OpenCV using C++.

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  •  盖世英雄少女心
    2021-01-20 01:45

    You can group white pixels according to a given predicate using partition. In this case, your predicate could be: group all white pixels that are within a given euclidean distance.

    You can then compute the bounding boxes for each group, keep the largest box (in RED below), and eventually enlarge it (in GREEN below):

    Code:

    #include 
    #include 
    #include 
    
    using namespace std;
    using namespace cv;
    
    int main()
    {
        // Load the image 
        Mat3b img = imread("path_to_image", IMREAD_COLOR);
    
        // Convert to grayscale
        Mat1b gray;
        cvtColor(img, gray, COLOR_BGR2GRAY);
    
        // Get binary mask (remove jpeg artifacts)
        gray = gray > 200;
    
        // Get all non black points
        vector pts;
        findNonZero(gray, pts);
    
        // Define the radius tolerance
        int th_distance = 50; // radius tolerance
    
        // Apply partition 
        // All pixels within the radius tolerance distance will belong to the same class (same label)
        vector labels;
    
        // With lambda function (require C++11)
        int th2 = th_distance * th_distance;
        int n_labels = partition(pts, labels, [th2](const Point& lhs, const Point& rhs) {
            return ((lhs.x - rhs.x)*(lhs.x - rhs.x) + (lhs.y - rhs.y)*(lhs.y - rhs.y)) < th2;
        });
    
        // You can save all points in the same class in a vector (one for each class), just like findContours
        vector> contours(n_labels);
        for (int i = 0; i < pts.size(); ++i)
        {
            contours[labels[i]].push_back(pts[i]);
        }
    
        // Get bounding boxes
        vector boxes;
        for (int i = 0; i < contours.size(); ++i)
        {
            Rect box = boundingRect(contours[i]);
            boxes.push_back(box);
        }
    
        // Get largest bounding box
        Rect largest_box = *max_element(boxes.begin(), boxes.end(), [](const Rect& lhs, const Rect& rhs) {
            return lhs.area() < rhs.area();
        });
    
        // Draw largest bounding box in RED
        Mat3b res = img.clone();
        rectangle(res, largest_box, Scalar(0, 0, 255));
    
        // Draw enlarged BOX in GREEN
        Rect enlarged_box = largest_box + Size(20,20);
        enlarged_box -= Point(10,10);
    
        rectangle(res, enlarged_box, Scalar(0, 255, 0));
    
    
        imshow("Result", res);
        waitKey();
    
        return 0;
    }
    

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