public override ProcessResult Execute(ProcessExecutionParams p)
{
GrayscaleProcessor gpH = new ColorDeconvolution().Get1stStain(p.Bitmap, ColorDeconvolution.KnownStain.HaematoxylinEosin);
GrayscaleProcessor gp = new GrayscaleProcessor(p.Bitmap, RgbToGrayscaleConversion.JustReds);
GrayscaleProcessor gpSobel = (GrayscaleProcessor)gp.Clone();
new MeanFilter().Execute(gp, new Size(3, 3));
new SobelEdgeDetector().Execute(gpSobel);
new MinimumFilter().Execute(gpH, new Size(3, 3));
new PixelInverter().Execute(gpH);
ObjectLayer l1stLevel = this.Execute1stLevelSegmentation(gp, gpSobel, gpH);
float targetArea = this.GetTargetArea(l1stLevel);
ObjectLayer l2ndLevel = this.Execute2ndLevelSegmentation(gp, gpSobel, gpH, targetArea);
ObjectLayer l3rdLevel = this.Execute3rdLevelSegmentation(l2ndLevel, gpSobel, gpH, targetArea);
gpSobel.WriteBack = false;
gpH.WriteBack = false;
gp.WriteBack = false;
gpSobel.Dispose();
gpH.Dispose();
gp.Dispose();
gpSobel.Bitmap.Dispose();
gpH.Bitmap.Dispose();
l3rdLevel.Name = "Image Analysis";
return new ProcessResult(new ObjectLayer[] { l3rdLevel });
}
public override ProcessResult Execute(ProcessExecutionParams p)
{
GrayscaleProcessor gpH = new ColorDeconvolution().Get1stStain(p.Bitmap, ColorDeconvolution.KnownStain.HaematoxylinEosin);
GrayscaleProcessor gp = new GrayscaleProcessor(p.Bitmap, RgbToGrayscaleConversion.JustReds);
GrayscaleProcessor gpSobel = (GrayscaleProcessor)gp.Clone();
new MeanFilter().Execute(gp, new Size(3, 3));
new SobelEdgeDetector().Execute(gpSobel);
new MinimumFilter().Execute(gpH, new Size(3, 3));
new PixelInverter().Execute(gpH);
ObjectLayer l1stLevel = this.Execute1stLevelSegmentation(gp, gpSobel, gpH);
float targetArea = this.GetTargetArea(l1stLevel);
ObjectLayer l2ndLevel = this.Execute2ndLevelSegmentation(gp, gpSobel, gpH, targetArea);
ObjectLayer l3rdLevel = this.Execute3rdLevelSegmentation(l2ndLevel, gpSobel, gpH, targetArea);
gpSobel.WriteBack = false;
gpH.WriteBack = false;
gp.WriteBack = false;
gpSobel.Dispose();
gpH.Dispose();
gp.Dispose();
gpSobel.Bitmap.Dispose();
gpH.Bitmap.Dispose();
l3rdLevel.Name = "Image Analysis";
return(new ProcessResult(new ObjectLayer[] { l3rdLevel }));
}
public override ProcessResult Execute(ProcessExecutionParams p)
{
GrayscaleProcessor gp = new GrayscaleProcessor(new Bitmap(p.Bitmap), RgbToGrayscaleConversion.None);
BitmapProcessor bp = new BitmapProcessor(p.Bitmap.Clone() as Bitmap);
for (int dy = 0; dy < gp.Height; dy++)
{
for (int dx = 0; dx < gp.Width; dx++)
{
int pixel = (int)bp.GetPixel(dx, dy);
int r = (pixel & 0x00ff0000) >> 16;
int g = (pixel & 0x0000ff00) >> 08;
int b = (pixel & 0x000000ff) >> 00;
int max = Math.Max(Math.Max(r, g), b);
int min = Math.Min(Math.Min(r, g), b);
int range = max - min;
int level = (r + g + b) / 3;
int val = level - range;
if (val > 255)
{
val = 255;
}
if (val < 0)
{
val = 0;
}
gp.SetPixel(dx, dy, (UInt32)level);
}
}
GrayscaleProcessor gpSobel = (GrayscaleProcessor)gp.Clone();
new SobelEdgeDetector().Execute(gpSobel);
ObjectLayer l1stLevel = Execute1stLevelSegmentation(gp, gpSobel);
ObjectLayer l2ndLevel = Execute2ndLevelSegmentation(l1stLevel, gp);
gpSobel.WriteBack = false;
gp.WriteBack = false;
gpSobel.Dispose();
gp.Dispose();
bp.Dispose();
gpSobel.Bitmap.Dispose();
gp.Bitmap.Dispose();
bp.Bitmap.Dispose();
l1stLevel.Name = "1st Level";
l2ndLevel.Name = "2nd Level";
return(new ProcessResult(new ObjectLayer[] { l1stLevel, l2ndLevel }));
}
