private Image <Gray, Byte> prepareImg2(System.Drawing.Image img, int threshold, bool invertImg)
{
Image <Gray, Byte> GrayImg = new Image <Gray, byte>((Bitmap)img);
EmgImgProcssing = new ImageProcessing_Emgu();
// create the filter
BradleyLocalThresholding filter2 = new BradleyLocalThresholding();
// apply the filter
filter2.ApplyInPlace(GrayImg.Bitmap);
GrayImg = GrayImg.Erode(1).Dilate(5).Erode(1);
// create filter
Invert filter3 = new Invert();
// apply the filter
filter3.ApplyInPlace(GrayImg.Bitmap);
return(GrayImg);
}
private Image <Gray, Byte> prepareImg3(System.Drawing.Image img, int threshold, bool invertImg)
{
// create filter
ColorFiltering filter = new ColorFiltering();
// set color ranges to keep
//filter.Red = new AForge.IntRange(125, 255);
//filter.Green = new AForge.IntRange(0, 95);
//filter.Blue = new AForge.IntRange(0, 95);
filter.Red = new AForge.IntRange(METState.Current.target_R_min, METState.Current.target_R_max);
filter.Green = new AForge.IntRange(METState.Current.target_G_min, METState.Current.target_G_max);
filter.Blue = new AForge.IntRange(METState.Current.target_B_min, METState.Current.target_B_max);
// apply the filter
Bitmap colorChannelImg = filter.Apply((Bitmap)img);
temp_Image = colorChannelImg;
Image <Gray, Byte> GrayImg = new Image <Gray, byte>((Bitmap)colorChannelImg);
EmgImgProcssing = new ImageProcessing_Emgu();
GrayImg = EmgImgProcssing.Filter_Threshold2(GrayImg, threshold, invertImg).Erode(1).Dilate(1);
return(GrayImg);
}
private Image <Gray, Byte> prepareImg1(System.Drawing.Image img, int threshold, bool invertImg)
{
Image <Gray, Byte> GrayImg = new Image <Gray, byte>((Bitmap)img);
EmgImgProcssing = new ImageProcessing_Emgu();
if (threshold == -1)
{
GrayImg = EmgImgProcssing.Filter_PupilAdaptiveThreshold(GrayImg, 20, invertImg, -1).Dilate(5).Erode(3);
}
else
{
GrayImg = EmgImgProcssing.Filter_Threshold(GrayImg, threshold, invertImg).Erode(1).Dilate(1);
}
return(GrayImg);
}