private static Bitmap Denoiseimage(Bitmap image)
{
// create filter
ConservativeSmoothing filter = new ConservativeSmoothing();
// apply the filter
filter.ApplyInPlace(image);
return(image);
}
/*
* 3- noise elimination to delete isolated pixel and improve the next step.
* (median filter technique seems to be the best way);
* */
public void RemoveNoise(ref Bitmap image)
{
/*
* FiltersSequence filterSquence = new FiltersSequence(Grayscale.CommonAlgorithms.BT709,
* new Threshold(100), new FillHoles());
* image = filterSquence.Apply(image);
*/
// create filter
ConservativeSmoothing filterSmoothing = new ConservativeSmoothing();
// apply the filter
filterSmoothing.ApplyInPlace(image);
}
public static Bitmap GetOrcImage(Bitmap bmp)
{
try
{
// from AForge's sample code
if (bmp.PixelFormat == PixelFormat.Format16bppGrayScale || Bitmap.GetPixelFormatSize(bmp.PixelFormat) > 32)
{
throw new NotSupportedException("Unsupported image format");
}
var img = AForge.Imaging.Image.Clone(bmp, PixelFormat.Format24bppRgb);
img = new Grayscale(0.2125, 0.7154, 0.0721).Apply(img);
img = new Threshold(50).Apply(img);
ConservativeSmoothing filter = new ConservativeSmoothing();
// apply the filter
filter.ApplyInPlace(img);
//BilateralSmoothing filter = new BilateralSmoothing();
//filter.KernelSize = 3;
//filter.SpatialFactor = 10;
//filter.ColorFactor = 60;
//filter.ColorPower = 0.5;
//// apply the filter
//img = filter.Apply(img);
//img = new BlobsFiltering(1, 1, img.Width, img.Height).Apply(img);
//// create filter
//Median filter = new Median();
//// apply the filter
//filter.ApplyInPlace(image)
return(img);
}
finally
{
bmp.Dispose();
}
}