// use circle detection only
private static void CircleOnly(CvCapture cap, CvWindow winScr)
{
srcImage = PerspectiveCorretoin.GetCorrectedImage(cap.QueryFrame());
gray = new IplImage(srcImage.Size, BitDepth.U8, 1);
blurKernelSize = new Size(9, 9);
while (CvWindow.WaitKey(10) != 27)
{
srcImage = PerspectiveCorretoin.GetCorrectedImage(cap.QueryFrame());
ShowFPS();
FindCircle(srcImage, winScr);
}
}
// find circles/dots using blob detection
private static void FindBlob(CvCapture cap, CvWindow winScr)
{
SimpleBlobDetector.Params blobParameters = new SimpleBlobDetector.Params();
// threshold (gray value)
blobParameters.MinThreshold = blobMinThreshold;
blobParameters.MaxThreshold = blobMaxThreshold;
// area (pixel count)
blobParameters.FilterByArea = true;
blobParameters.MinArea = blobMinArea;
blobParameters.MaxArea = blobMaxArea;
// circularity
blobParameters.FilterByCircularity = true;
blobParameters.MinCircularity = blobMinCircularity;
// convexity - probably not needed - maybe eleminates false positives
blobParameters.FilterByConvexity = true;
blobParameters.MinConvexity = blobMinConvexity;
//// inertia - what does the values mean exactly
//blobParameters.FilterByInertia = true;
//blobParameters.MinInertiaRatio =
SimpleBlobDetector blobDetector = new SimpleBlobDetector(blobParameters);
gray = new IplImage(cap.QueryFrame().Size, BitDepth.U8, 1);
while (CvWindow.WaitKey(10) != 27)
{
IplImage iplImage = PerspectiveCorretoin.GetCorrectedImage(cap.QueryFrame());
Cv.CvtColor(iplImage, gray, ColorConversion.RgbToGray);
Mat mat = new Mat(gray);
mat.PyrDown(new Size(mat.Width / 2, mat.Height / 2));
KeyPoint[] keypoints = blobDetector.Detect(mat);
foreach (KeyPoint item in keypoints)
{
Cv.DrawCircle(gray, new CvPoint2D32f(item.Pt.X, item.Pt.Y), (int)(item.Size * 3), CvColor.Green);
Console.WriteLine("Found blob | size = " + item.Size);
}
winScr.Image = gray;
}
}
// execute perspective correction
private static void Calibration(CvCapture cap, CvWindow winSrc)
{
PerspectiveCorretoin.ApplyFourPointTransform(cap, winSrc);
}
