private Image <Gray, byte> GetMaskOfDefects(int a1, int a2, int b1, int b2, Image <Gray, float> sourceImage)
{
ProgressManager.AddSteps(3);
using (Image <Gray, byte> cannyImg1 = sourceImage.Convert <Gray, byte>().Canny(a1, a2))
{
ProgressManager.DoStep();
using (Image <Gray, byte> cannyImg2 = sourceImage.Convert <Gray, byte>().Canny(b1, b2))
{
ProgressManager.DoStep();
using (Image <Gray, byte> cannyImg = cannyImg1.Add(cannyImg2))
{
ProgressManager.DoStep();
return(MorphologicalProcessing.Dilate(cannyImg, new Size(3, 3), 3));
}
}
}
}
public static Image <Bgr, byte> CombineTwoImages(Image <Bgr, byte> image, Image <Bgr, byte> imagePattern, Image <Gray, byte> mask, bool dilate = true)
{
ProgressManager.AddSteps(4);
if (dilate)
{
mask = Dilate(mask, new Size(2, 2), 2);
}
//imagePattern.Image = imagePattern.Image.SmoothBlur(3, 3);
ProgressManager.DoStep();
using (Image <Bgr, byte> image1 = MultipleMaskAndImage(imagePattern, mask))
{
ProgressManager.DoStep();
using (Image <Bgr, byte> image2 = MultipleMaskAndImage(image, GenerateBinaryImageNegative(mask)))
{
ProgressManager.DoStep();
Image <Bgr, byte> outImage = image1.Add(image2);
ProgressManager.DoStep();
return(outImage);
}
}
}