public mDitherThresholdCarry(byte thresholdValue)
{
BitmapType = BitmapTypes.GrayscaleBT709;
ThresholdValue = thresholdValue;
filter = new ThresholdWithCarry(ThresholdValue);
}
public static Bitmap ApplyFiliter(ImageFiliter imgFilter, Bitmap bmp, byte Value, byte Value2)
{
Bitmap newImage = null;
//ContrastCorrection filter2 = new ContrastCorrection(1.0);
//newImage = filter2.Apply(bmp);
if (imgFilter != ImageFiliter.None)
{
IFilter filter3 = Grayscale.CommonAlgorithms.Y;
newImage = filter3.Apply(bmp);
if (imgFilter == ImageFiliter.Threshold)
{
IFilter filter = null;
if (Value == 0)
{
filter = new Threshold();
}
else
{
filter = new Threshold(Value);
}
newImage = filter.Apply(newImage);
//IterativeThreshold filter = new IterativeThreshold(Value2, Value);
//// apply the filter
// newImage = filter.Apply(newImage);
}
if (imgFilter == ImageFiliter.ThresholdWithCarry)
{
IFilter filter = new ThresholdWithCarry();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.OrderedDithering)
{
IFilter filter = new OrderedDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.BayerDithering)
{
IFilter filter = new BayerDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.FloydSteinbergDithering)
{
IFilter filter = new FloydSteinbergDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.BurkesDithering)
{
IFilter filter = new BurkesDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.JarvisJudiceNinkeDithering)
{
IFilter filter = new JarvisJudiceNinkeDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.SierraDithering)
{
IFilter filter = new SierraDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.StuckiDithering)
{
IFilter filter = new StuckiDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.Convolution)
{
// create filter
//OtsuThreshold filter = new OtsuThreshold();
//// apply the filter
//filter.ApplyInPlace(newImage);
//// create filter
//IterativeThreshold filter = new IterativeThreshold(0);
//// apply the filter
//newImage = filter.Apply(newImage);
int[,] kernel =
{
{ -2, -1, 0 },
{ -1, 1, 1 },
{ 0, 1, 2 }
};
// create filter
Convolution filter = new Convolution(kernel);
// apply the filter
filter.ApplyInPlace(newImage);
}
newImage = BitmapTo1Bpp(newImage);
}
else
{
newImage = BitmapTo1Bpp(bmp);
}
//轉換成 1bit bps
return(newImage);
}
