I can't paint the circle into image after using Hough transform :(

asked 2014-09-10 10:56:22 -0600

Hi everybody ! I used Hough transform to detect circle and then I will paint the circle into my input image ( tennis ball ) depend on those parameter that Hough issued ( center,radius ). Here is my code :

            Mat src1 = imread("banhtennis.jpg");
    Mat src2 = src1.clone();
    Mat gray,canny;

    cvtColor(src1,gray,CV_BGR2GRAY);
    Canny(gray,canny,20,30,3,false);
    vector<Vec3f> circles;
    HoughCircles(canny,circles,CV_HOUGH_GRADIENT,1,100,30,20,0,0);
    for(int i=0;i<circles.size();i++)
    {
        Point center(cvRound(circles[i][0]),cvRound(circles[i][1]));
        int radius = cvRound(circles[i][2]);
        circle(src2,center,radius,Scalar(0,0,255),2,8,0);
    }
            imshow("Anh sau khi tim thay duong tron",src2);

The result I received after running my program was many red circles that were painted on the input image but not the circle I need. I need the circle cover my ball in this image. Can everyone help me about this problem ? I will attach this image at here C:\fakepath\banhtennis.jpg Thanks very much ^^

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Those params are (0,0) because I don't know the radius of ball, so I put (0,0) into those params to search automatically all circles in image

nhat.truong ( 2014-09-10 11:26:39 -0600 )edit

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answered 2014-09-10 12:09:23 -0600

FooBar
2938 ●9 ●37 http://magazino.eu/

updated 2014-09-10 12:27:05 -0600

cv::HoughCircles already applies cv::canny internally, so you apply it on the original image. (Have a look at its param1: http://docs.opencv.org/modules/imgproc/doc/feature_detection.html?highlight=canny#houghcircles

Your canny-parameters also produce many edges. It is good practice to smooth the image a bit before calling canny (e.g. via cv::GaussianBlur) (I just use a higher threshold). I get a good result with this program:

Mat src = cv::imread("ball.jpg", CV_LOAD_IMAGE_GRAYSCALE);

Mat col = cv::imread("ball.jpg", CV_LOAD_IMAGE_COLOR);

if(src.empty()) {
    cout << "can't open file" << endl;
    return -1;
}

int canny_threshold = 400;

vector<Vec3f> circles;
HoughCircles(src,circles,CV_HOUGH_GRADIENT,
1, // dp
50, // min_dist_px
canny_threshold, // higher canny
20, // acc threshold
0, // min radius
0); // max radius

cout << "found circles " << circles.size() << endl;

for(int i=0;i<circles.size(); i++)
{
    Point center(cvRound(circles[i][0]),cvRound(circles[i][1]));
    int radius = cvRound(circles[i][2]);
    circle(col,center,radius,Scalar(0,0,255),2,8,0);
}

BTW: Your title is completely misleading. Your problem is not that you can't draw the circle, but that you can't find the right circle to draw.

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@FooBar thanks very much...but can you indicate me how to recognize "canny_threshold" and "acc threshold" ? I think maximum value of threshold is 255

nhat.truong ( 2014-09-10 23:36:17 -0600 )edit

I want to write value of "radius" and "center" in Window but I get a mistake that I don't know why. Here is my code : cout <<"The radius of circle" << radius << endl; cout <<"The center of circle" << center <<endl; Can you help me ? @FooBar

nhat.truong ( 2014-09-11 00:15:21 -0600 )edit

Which error message do you get? It's important to be as accurate as possible, otherwise others can just guess. Are you using the std:: namespace?

FooBar ( 2014-09-11 03:04:07 -0600 )edit

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answered 2015-04-28 22:32:57 -0600

Pinpin
1

i use my codes and your codes in a lot of image. I always get an error when drawing detected circle on the image.

for(int i=0;i<circles.size(); i++)="" {="" point="" center(cvround(circles[i][0]),cvround(circles[i][1]));="" int="" radius="cvRound(circles[i][2]);" circle(original,center,radius,scalar(0,0,255),2,8,0);="" }<="" p="">

C:\fakepath\error.png

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answered 2014-09-12 11:15:24 -0600

nhat.truong
1 ●1

updated 2014-09-13 10:30:57 -0600

@FooBar I got a good result when I used your code, but when I used webcam to track the tennis ball, I got a bad result. There were many wrong circle drew arround this ball but no right circle drew cover this ball. Here is my code : capture >> col; cvtColor(col.clone(),src,CV_BGR2GRAY); equalizeHist(src,src); GaussianBlur( src, src, Size(9, 9), 2, 2 ); if(src.empty()) { cout<< "can't load file from webcam" <<endl; }<="" p="">

        int canny_threshold = 200;

        vector<Vec3f> circles;
        HoughCircles(src,circles,CV_HOUGH_GRADIENT,
            1, // dp
            50, // min_dist_px
            canny_threshold, // higher canny
            20, // acc threshold
            0, // min radius
            100); // max radius

            for(int i=0;i<circles.size(); i++)
            {
            Point center(cvRound(circles[i][0]),cvRound(circles[i][1]));
            int radius = cvRound(circles[i][2]);
            circle(col,center,radius,Scalar(0,0,255),2,8,0);
            }

        imshow("Window1",col);
        char c = waitKey(33);
        if(c==27) break;
    }

Can you help me about this problem ? I will attach the bad result I got when I run my program at here C:\fakepath\Untitled2.png The original Image C:\fakepath\ball.jpg Have a great day !

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This is a very different situation. You maybe now also need some kind of color segmentation. How does your original image look like?

FooBar ( 2014-09-13 06:55:49 -0600 )edit

@FooBar I attached this image in my answer.

nhat.truong ( 2014-09-13 10:32:11 -0600 )edit

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I can't paint the circle into image after using Hough transform :(

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