// Private members
#region Private Members
// Create Gaussian filter
private void CreateFilter()
{
// create Gaussian function
AForge.Math.Gaussian gaus = new AForge.Math.Gaussian(sigma);
// create kernel
int[,] kernel = gaus.KernelDiscret2D(size);
// create filter
filter = new Correlation(kernel);
}
// Private members
#region Private Members
// Create Gaussian filter
private void CreateFilter()
{
// create Gaussian function
AForge.Math.Gaussian gaus = new AForge.Math.Gaussian(sigma);
// create kernel
int[,] kernel = gaus.KernelDiscret2D(size);
// create filter
filter = new Correlation(kernel);
}
// Private members
#region Private Members
// Create Gaussian filter
private void CreateFilter()
{
// create Gaussian function
AForge.Math.Gaussian gaus = new AForge.Math.Gaussian(sigma);
// create Gaussian kernel
int[,] kernel = gaus.KernelDiscret2D(size);
// calculte sum of the kernel
int sum = 0;
for (int i = 0; i < size; i++)
{
for (int j = 0; j < size; j++)
{
sum += kernel[i, j];
}
}
// recalc kernel
int c = size >> 1;
for (int i = 0; i < size; i++)
{
for (int j = 0; j < size; j++)
{
if ((i == c) && (j == c))
{
// calculate central value
kernel[i, j] = 2 * sum - kernel[i, j];
}
else
{
// invert value
kernel[i, j] = -kernel[i, j];
}
}
}
// create filter
filter = new Correlation(kernel);
}
// Create Gaussian filter
private void CreateFilter()
{
// create Gaussian function
AForge.Math.Gaussian gaus = new AForge.Math.Gaussian(sigma);
// create Gaussian kernel
int[,] kernel = gaus.KernelDiscret2D(size);
// calculte sum of the kernel
int sum = 0;
for (int i = 0; i < size; i++)
{
for (int j = 0; j < size; j++)
{
sum += kernel[i, j];
}
}
// recalc kernel
int c = size >> 1;
for (int i = 0; i < size; i++)
{
for (int j = 0; j < size; j++)
{
if ((i == c) && (j == c))
{
// calculate central value
kernel[i, j] = 2 * sum - kernel[i, j];
}
else
{
// invert value
kernel[i, j] = -kernel[i, j];
}
}
}
// create filter
filter = new Correlation(kernel);
}
