# Revision history [back]

### Scoring hits in a shooting target

I am working on a Java project in which I take the image of shooting target and I compute scoring. I've alreeady found this http://answers.opencv.org/question/1285/stationary-target-shooting-algorithm/. But it wasn't helpful. I already written code that finds bullet holes and now I need something that will score them. I was thinking about Hough Transform to find circles but the algorithm works poorly in my case (I don't know why but I can't add an image). In my case algorithm finds 88 circles on my image and that is too much. I need help with improving Hough or with developing other algorithm.

### Scoring hits in a shooting target

I am working on a Java project in which I take the image of shooting target and I compute scoring. I've alreeady found this http://answers.opencv.org/question/1285/stationary-target-shooting-algorithm/. But it wasn't helpful. I already written code that finds bullet holes and now I need something that will score them. I was thinking about Hough Transform to find circles but the algorithm works poorly in my case (I don't know why but I can't add an image). In my case algorithm finds 88 circles on my image and that is too much. I need help with improving Hough or with developing other algorithm. algorithm. EDIT:

Type of target I'm working with

Below output of Hough transform

Below the code I used for Hough Transform

 static void drawCircles(Mat input, Mat circles)
{
for(int i=0; i<circles.cols(); ++i)
{
double[] current = circles.get(0, i);
for(double e: current)
{
Imgproc.circle(input,new Point(current[0], current[1]), (int)current[2], new Scalar(0,0,255),10);
}
}
}
static void tests()
{
Mat input = Imgcodecs.imread(sciezkaStartowa + "D.jpg"), output = new Mat(), gray = new Mat();
if(input.empty())
{
System.out.println("Couldn't open file");
return;
}

Imgproc.cvtColor(input, gray, Imgproc.COLOR_BGR2GRAY);
Mat circles = new Mat();
Imgproc.HoughCircles(gray, circles, Imgproc.HOUGH_GRADIENT, 0.5, 50, 120, 200, 40, gray.cols());
drawCircles(input, circles);
saveFile(input, "Kola.jpg");
}


### Scoring hits in a shooting target

I am working on a Java project in which I take the image of shooting target and I compute scoring. I've alreeady found this http://answers.opencv.org/question/1285/stationary-target-shooting-algorithm/. But it wasn't helpful. I already written code that finds bullet holes and now I need something that will score them. I was thinking about Hough Transform to find circles but the algorithm works poorly in my case (I don't know why but I can't add an image). In my case algorithm finds 88 circles on my image and that is too much. I need help with improving Hough or with developing other algorithm. EDIT:

Type of target I'm working with

Below output of Hough transform

Below the code I used for Hough Transform

 static void drawCircles(Mat input, Mat circles)
{
for(int i=0; i<circles.cols(); ++i)
{
double[] current = circles.get(0, i);
for(double e: current)
{
Imgproc.circle(input,new Point(current[0], current[1]), (int)current[2], new Scalar(0,0,255),10);
}
}
}
static void tests()
{
Mat input = Imgcodecs.imread(sciezkaStartowa + "D.jpg"), output = new Mat(), gray = new Mat();
if(input.empty())
{
System.out.println("Couldn't open file");
return;
}

Imgproc.cvtColor(input, gray, Imgproc.COLOR_BGR2GRAY);
Mat circles = new Mat();
Imgproc.HoughCircles(gray, circles, Imgproc.HOUGH_GRADIENT, 0.5, 50, 120, 200, 40, gray.cols());
drawCircles(input, circles);
saveFile(input, "Kola.jpg");
}