I am trying to detect coin ( circle ) detection using Opencv4Android. So far I have tried two approaches
1 ) Regular method :
// convert image to grayscale
Imgproc.cvtColor(mRgba, mGray, Imgproc.COLOR_RGBA2GRAY);
// apply Gaussian Blur
Imgproc.GaussianBlur(mGray, mGray, sSize5, 2, 2);
iMinRadius = 20;
iMaxRadius = 400;
iAccumulator = 300;
iCannyUpperThreshold = 100;
//apply houghCircles
Imgproc.HoughCircles(mGray, mIntermediateMat, Imgproc.CV_HOUGH_GRADIENT, 2.0, mGray.rows() / 8,
iCannyUpperThreshold, iAccumulator, iMinRadius, iMaxRadius);
if (mIntermediateMat.cols() > 0)
for (int x = 0; x < Math.min(mIntermediateMat.cols(), 10); x++) {
double vCircle[] = mIntermediateMat.get(0,x);
if (vCircle == null)
break;
pt.x = Math.round(vCircle[0]);
pt.y = Math.round(vCircle[1]);
radius = (int)Math.round(vCircle[2]);
// draw the found circle
Core.circle(mRgba, pt, radius, colorRed, iLineThickness);
}
2 ) Sobel and then Hough Cicles
// apply Gaussian Blur
Imgproc.GaussianBlur(mRgba, mRgba, sSize3, 2, 2,
Imgproc.BORDER_DEFAULT);
// / Convert it to grayscale
Imgproc.cvtColor(mRgba, mGray, Imgproc.COLOR_RGBA2GRAY);
// / Gradient X
Imgproc.Sobel(mGray, grad_x, CvType.CV_16S, 1, 0, 3, scale, delta,
Imgproc.BORDER_DEFAULT);
Core.convertScaleAbs(grad_x, abs_grad_x);
// / Gradient Y
Imgproc.Sobel(mGray, grad_y, CvType.CV_16S, 0, 1, 3, scale, delta,
Imgproc.BORDER_DEFAULT);
Core.convertScaleAbs(grad_y, abs_grad_y);
// / Total Gradient (approximate)
Core.addWeighted(abs_grad_x, 0.5, abs_grad_y, 0.5, 0, grad);
iCannyUpperThreshold = 100;
Imgproc.HoughCircles(grad, mIntermediateMat,
Imgproc.CV_HOUGH_GRADIENT, 2.0, grad.rows() / 8,
iCannyUpperThreshold, iAccumulator, iMinRadius, iMaxRadius);
if (mIntermediateMat.cols() > 0)
for (int x = 0; x < Math.min(mIntermediateMat.cols(), 10); x++) {
double vCircle[] = mIntermediateMat.get(0, x);
if (vCircle == null)
break;
pt.x = Math.round(vCircle[0]);
pt.y = Math.round(vCircle[1]);
radius = (int) Math.round(vCircle[2]);
// draw the found circle
Core.circle(mRgba, pt, radius, colorRed, iLineThickness);
}
method one gives fair result in case of coin detection and method two gives better result
Out of these two methods second method processing is slow but results are good
Both of these methods are working when camera frmae is caputured using JavaCameraView or NativeCameraView from opencv library .
If I use same procedure on image captured from android naive image capture intent which returns Bitmap , I am unable to get any results at all i.e. no circles are detected at all.
In methods one sometimes I get circle detected when using Bitmap captured using android camera intent.
I also tried changing the captured bitmap as suggested in this Post but still no circle detection.
Can anybody tell me what modifications I have to do.
And also I want to know which algorithm will give better results in coin ( circle ) detection but with less processing.
I have played with various values of houghCircle method and also tried canny edge out put as intput to houghCircles but its not considerably good enough.