private void SetKernel(PresetKernel kernel)
{
this.Size = 5; //call setter, so all other calculations are made
#region Preset Convolution Kernels
switch (kernel)
{
case PresetKernel.Identity:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0 },
{ 0, 0, 1, 0, 0 },
{ 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.Blur:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, 1, 2, 1, 0 },
{ 0, 2, 2, 2, 0 },
{ 0, 1, 2, 1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 14.0;
break;
case PresetKernel.BlurMore:
_kernel = new double[5, 5]
{
{ 0, 1, 1, 1, 0 },
{ 1, 2, 2, 2, 1 },
{ 1, 2, 4, 2, 1 },
{ 1, 2, 2, 2, 1 },
{ 0, 1, 1, 1, 0 }
};
_bias = 0.0;
_normalizationFactor = 32.0;
break;
case PresetKernel.ColoredEmboss:
_kernel = new double[5, 5]
{
{ -20, 0, 0, 0, -10 },
{ 0, -20, 10, -20, 0 },
{ 0, 10, 35, 10, 0 },
{ 0, -20, 10, 20, 0 },
{ -20, 0, 0, 0, 10 }
};
_bias = 80.0;
_normalizationFactor = 10.0;
break;
case PresetKernel.DoubleVision:
_kernel = new double[5, 5]
{
{ -1, -2, -1, -2, -1 },
{ 2, -1, 2, -1, 2 },
{ -1, -2, 5, -2, -1 },
{ 2, -1, 2, -1, 2 },
{ -1, -2, -1, -2, -1 }
};
_bias = 0.0;
_normalizationFactor = -7.0;
break;
case PresetKernel.Emboss:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, 1, 1, 1, 0 },
{ 0, 1, -1, -1, 0 },
{ 0, 1, -1, -1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.FindEdges:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, -1, -1, -1, 0 },
{ 0, -1, 8, -1, 0 },
{ 0, -1, -1, -1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.Grease:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, 1, 1, 1, 0 },
{ 0, 1, -7, 1, 0 },
{ 0, 1, 1, 1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.HiPass:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, 1, -2, 1, 0 },
{ 0, -2, 6, -2, 0 },
{ 0, 1, -2, 1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 2.0;
break;
case PresetKernel.HiPassSharpen:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, 0, -1, 0, 0 },
{ 0, -1, 5, -1, 0 },
{ 0, 0, -1, 0, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.HorizontalEdge:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, -1, -1, -1, 0 },
{ 0, 0, 0, 0, 0 },
{ 0, 1, 1, 1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.HorizontalSobel:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, -1, -2, -1, 0 },
{ 0, 0, 0, 0, 0 },
{ 0, 1, 2, 1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.Laplace:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, 0, -1, 0, 0 },
{ 0, -1, 4, -1, 0 },
{ 0, 0, -1, 0, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.Mean:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, 1, 1, 1, 0 },
{ 0, 1, 1, 1, 0 },
{ 0, 1, 1, 1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 9.0;
break;
case PresetKernel.MeanRemoval:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, -1, -1, -1, 0 },
{ 0, -1, 9, -1, 0 },
{ 0, -1, -1, -1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.Smooth:
break;
case PresetKernel.SmoothCircular:
_kernel = new double[5, 5]
{
{ 0, 1, 1, 1, 0 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 0, 1, 1, 1, 0 }
};
_bias = 0.0;
_normalizationFactor = 21.0;
break;
case PresetKernel.SmoothMore:
break;
case PresetKernel.TraceContour:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, -1, -1, -1, 0 },
{ 0, -1, 9, -1, 0 },
{ 0, -1, -1, -1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 255.0;
_normalizationFactor = 1.0;
break;
case PresetKernel.VerticalEdge:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, -1, 0, 1, 0 },
{ 0, -1, 0, 1, 0 },
{ 0, -1, 0, 1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0;
_normalizationFactor = 1.0;
break;
case PresetKernel.VerticalSobel:
_kernel = new double[5, 5]
{
{ 0, 0, 0, 0, 0 },
{ 0, -1, 0, 1, 0 },
{ 0, -2, 0, 2, 0 },
{ 0, -1, 0, 1, 0 },
{ 0, 0, 0, 0, 0 }
};
_bias = 0;
_normalizationFactor = 1.0;
break;
case PresetKernel.Vibrate:
_kernel = new double[5, 5]
{
{ 9, 0, 3, 0, 9 },
{ 0, 0, 0, 0, 0 },
{ 3, 0, 1, 0, 3 },
{ 0, 0, 0, 0, 0 },
{ 9, 0, 3, 0, 9 }
};
_bias = 0;
_normalizationFactor = 49.0;
break;
case PresetKernel.LaplacianOfGaussian:
_kernel = new double[5, 5]
{
{ 0, 0, 1, 0, 0 },
{ 0, 1, 2, 1, 0 },
{ 1, 2, -16, 2, 1 },
{ 0, 1, 2, 1, 0 },
{ 0, 0, 1, 0, 0 }
};
_bias = 0;
_normalizationFactor = 1.0;
break;
default:
break;
}
#endregion
}
public ConvolutionKernel(PresetKernel kernel)
{
SetKernel(kernel);
}
