private Image <Bgr, byte> InpaintMethod(VectorOfVectorOfPoint defects, InpaintType ip)
{
ProgressManager.AddSteps(_conturMatrix.Size);
for (int i = 0; i < defects.Size; i++)
{
InpaintCleaner(defects[i], ip);
ProgressManager.DoStep();
}
return(_orgImage);
}
private static extern void cveXInpaint(IntPtr src, IntPtr mask, IntPtr dst, InpaintType algorithmType);
/// <summary>
/// The function implements different single-image inpainting algorithms
/// </summary>
/// <param name="src">source image, it could be of any type and any number of channels from 1 to 4. In case of 3- and 4-channels images the function expect them in CIELab colorspace or similar one, where first color component shows intensity, while second and third shows colors. Nonetheless you can try any colorspaces.</param>
/// <param name="mask">mask (CV_8UC1), where non-zero pixels indicate valid image area, while zero pixels indicate area to be inpainted</param>
/// <param name="dst">destination image</param>
/// <param name="algorithmType">algorithm type</param>
public static void Inpaint(Mat src, Mat mask, Mat dst, InpaintType algorithmType)
{
cveXInpaint(src, mask, dst, algorithmType);
}
private void InpaintCleaner(VectorOfPoint defect, InpaintType ip)
{
var mask = GetMaskOfDefect(defect);
CvInvoke.Inpaint(_orgImage, mask, _orgImage, 1.0, ip);
}
private static extern void cveXInpaint(IntPtr src, IntPtr mask, IntPtr dst, InpaintType algorithmType);
public static void Inpaint(Mat src, Mat mask, Mat dst, InpaintType algorithmType)
{
cveXInpaint(src, mask, dst, algorithmType);
}
