public static ConvolutionMatrix MeanRemoval(int weight = 9)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
double factor = weight - 8;
cm.SetAll(-1 / factor);
cm[1, 1] = weight / factor;
return(cm);
}
public static ConvolutionMatrix Smooth(int weight = 1)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
double factor = weight + 8;
cm.SetAll(1 / factor);
cm[1, 1] = weight / factor;
return(cm);
}
public static ConvolutionMatrix MeanRemoval(int weight = 9)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(-1);
cm.Matrix[1, 1] = weight;
cm.Factor = weight - 8;
return(cm);
}
public static ConvolutionMatrix Smooth(int weight = 1)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(1);
cm.Matrix[1, 1] = weight;
cm.Factor = weight + 8;
return(cm);
}
public static ConvolutionMatrix Emboss()
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(-1);
cm[1, 1] = 4;
cm[1, 0] = cm[0, 1] = cm[2, 1] = cm[1, 2] = 0;
cm.Offset = 127;
return(cm);
}
public static ConvolutionMatrix Sharpen(int weight = 11)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
double factor = weight - 8;
cm.SetAll(0);
cm[1, 1] = weight / factor;
cm[1, 0] = cm[0, 1] = cm[2, 1] = cm[1, 2] = -2 / factor;
return(cm);
}
public static ConvolutionMatrix Sharpen(int weight = 11)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(0);
cm.Matrix[1, 1] = weight;
cm.Matrix[1, 0] = cm.Matrix[0, 1] = cm.Matrix[2, 1] = cm.Matrix[1, 2] = -2;
cm.Factor = weight - 8;
return(cm);
}
public static ConvolutionMatrix GaussianBlur(int weight = 4)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(1);
cm.Matrix[1, 1] = weight;
cm.Matrix[1, 0] = cm.Matrix[0, 1] = cm.Matrix[2, 1] = cm.Matrix[1, 2] = 2;
cm.Factor = weight + 12;
return(cm);
}
public static ConvolutionMatrix Smooth(int weight = 1)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(1);
cm.Matrix[1, 1] = weight;
cm.Factor = weight + 8;
return cm;
}
public static ConvolutionMatrix Sharpen(int weight = 11)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(0);
cm.Matrix[1, 1] = weight;
cm.Matrix[1, 0] = cm.Matrix[0, 1] = cm.Matrix[2, 1] = cm.Matrix[1, 2] = -2;
cm.Factor = weight - 8;
return cm;
}
public static ConvolutionMatrix MeanRemoval(int weight = 9)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(-1);
cm.Matrix[1, 1] = weight;
cm.Factor = weight - 8;
return cm;
}
public static ConvolutionMatrix GaussianBlur(int weight = 4)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(1);
cm.Matrix[1, 1] = weight;
cm.Matrix[1, 0] = cm.Matrix[0, 1] = cm.Matrix[2, 1] = cm.Matrix[1, 2] = 2;
cm.Factor = weight + 12;
return cm;
}
public static ConvolutionMatrix Emboss()
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm.SetAll(-1);
cm.Matrix[1, 1] = 4;
cm.Matrix[1, 0] = cm.Matrix[0, 1] = cm.Matrix[2, 1] = cm.Matrix[1, 2] = 0;
cm.Offset = 127;
return cm;
}
