// transform image to binary image
// and then iterate through area to get the coordinates
// of detected object
private Image <Gray, Byte> bwareaopen(Image <Gray, Byte> Input_Image, int threshold)
{
listOfDetectedCoor.Clear();
Image <Gray, Byte> bwresults = Input_Image.Copy();
using (MemStorage storage = new MemStorage())
{
for (Contour <Point> contours = Input_Image.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_LIST, storage); contours != null; contours = contours.HNext)
{
Contour <Point> currentContour = contours.ApproxPoly(contours.Perimeter * 0.05, storage);
if (currentContour.Area < threshold)
{
for (int i = currentContour.BoundingRectangle.X; i < currentContour.BoundingRectangle.X + currentContour.BoundingRectangle.Width; i++)
{
for (int j = currentContour.BoundingRectangle.Y; j < currentContour.BoundingRectangle.Y + currentContour.BoundingRectangle.Height; j++)
{
bwresults.Data[j, i, 0] = 0;
}
}
}
else if (currentContour.Area > threshold)
{
int x = currentContour.BoundingRectangle.X;
int y = currentContour.BoundingRectangle.Y;
int width = currentContour.BoundingRectangle.Width;
int height = currentContour.BoundingRectangle.Height;
RectangleData recData = new RectangleData(x, y, width, height);
int x_center = recData.getXCenter();
int y_center = recData.getYCenter();
try
{
listOfDetectedCoor.Add(recData);
}
catch (Exception e)
{
Console.Write(e.StackTrace);
}
}
}
}
return(bwresults);
}
void searchByHSV(Image <Bgr, Byte> input)
{
using (Image <Hsv, Byte> imgHSV = input.Convert <Hsv, Byte>())
{
Image <Gray, Byte>[] channels = imgHSV.Split();
try
{
//channels[0] is the mask for hue less than 20 or larger than 160
CvInvoke.cvInRangeS(channels[0], new MCvScalar(20), new MCvScalar(160), channels[0]);
channels[0]._Not();
//channels[1] is the mask for satuation of at least 10, this is mainly used to filter out white pixels
channels[1]._ThresholdBinary(new Gray(10), new Gray(255.0));
CvInvoke.cvAnd(channels[0], channels[1], channels[0], IntPtr.Zero);
}
finally
{
channels[1].Dispose();
channels[2].Dispose();
}
Image <Gray, Byte> smoothedRedMask = channels[0];
//Use Dilate followed by Erode to eliminate small gaps in some countour.
smoothedRedMask._Dilate(1);
smoothedRedMask._Erode(1);
using (Image <Gray, Byte> canny = smoothedRedMask.Canny(new Gray(100), new Gray(50)))
using (MemStorage stor = new MemStorage())
{
for (Contour <Point> contours = canny.FindContours(
Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE,
Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_TREE, stor);
contours != null;
contours = contours.HNext)
{
Contour <Point> currentContour = contours.ApproxPoly(contours.Perimeter * 0.05, stor);
int x = currentContour.BoundingRectangle.X;
int y = currentContour.BoundingRectangle.Y;
int width = currentContour.BoundingRectangle.Width;
int height = currentContour.BoundingRectangle.Height;
RectangleData recData = new RectangleData(x, y, width, height);
int x_center = recData.getXCenter();
int y_center = recData.getYCenter();
try
{
listOfDetectedCoor.Add(recData);
}
catch (Exception e)
{
Console.Write(e.StackTrace);
}
}
CamImageBox.Image = canny;
}
}
}