// Private members
#region Private Members
// Create Gaussian filter
private void CreateFilter( )
{
// create Gaussian function
BestCS.Math.Gaussian gaus = new BestCS.Math.Gaussian(sigma);
// create kernel
double[,] kernel = gaus.Kernel2D(size);
double min = kernel[0, 0];
// integer kernel
int[,] intKernel = new int[size, size];
int divisor = 0;
for (int i = 0; i < size; i++)
{
for (int j = 0; j < size; j++)
{
double v = kernel[i, j] / min;
if (v > ushort.MaxValue)
{
v = ushort.MaxValue;
}
intKernel[i, j] = (int)v;
// collect divisor
divisor += intKernel[i, j];
}
}
// update filter
this.Kernel = intKernel;
this.Divisor = divisor;
}
// Private members
#region Private Members
// Create Gaussian filter
private void CreateFilter( )
{
// create Gaussian function
BestCS.Math.Gaussian gaus = new BestCS.Math.Gaussian(sigma);
// create kernel
double[,] kernel = gaus.Kernel2D(size);
double min = kernel[0, 0];
// integer kernel
int[,] intKernel = new int[size, size];
int sum = 0;
int divisor = 0;
// calculate integer kernel
for (int i = 0; i < size; i++)
{
for (int j = 0; j < size; j++)
{
double v = kernel[i, j] / min;
if (v > ushort.MaxValue)
{
v = ushort.MaxValue;
}
intKernel[i, j] = (int)v;
// collect sum
sum += intKernel[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
intKernel[i, j] = 2 * sum - intKernel[i, j];
}
else
{
// invert value
intKernel[i, j] = -intKernel[i, j];
}
// collect divisor
divisor += intKernel[i, j];
}
}
// update filter
this.Kernel = intKernel;
this.Divisor = divisor;
}
// Private members
#region Private Members
// Create Gaussian filter
private void CreateFilter( )
{
// create Gaussian function
BestCS.Math.Gaussian gaus = new BestCS.Math.Gaussian( sigma );
// create kernel
double[,] kernel = gaus.Kernel2D( size );
double min = kernel[0, 0];
// integer kernel
int[,] intKernel = new int[size, size];
int divisor = 0;
for ( int i = 0; i < size; i++ )
{
for ( int j = 0; j < size; j++ )
{
double v = kernel[i, j] / min;
if ( v > ushort.MaxValue )
{
v = ushort.MaxValue;
}
intKernel[i, j] = (int) v;
// collect divisor
divisor += intKernel[i, j];
}
}
// update filter
this.Kernel = intKernel;
this.Divisor = divisor;
}
// Private members
#region Private Members
// Create Gaussian filter
private void CreateFilter( )
{
// create Gaussian function
BestCS.Math.Gaussian gaus = new BestCS.Math.Gaussian( sigma );
// create kernel
double[,] kernel = gaus.Kernel2D( size );
double min = kernel[0, 0];
// integer kernel
int[,] intKernel = new int[size, size];
int sum = 0;
int divisor = 0;
// calculate integer kernel
for ( int i = 0; i < size; i++ )
{
for ( int j = 0; j < size; j++ )
{
double v = kernel[i, j] / min;
if ( v > ushort.MaxValue )
{
v = ushort.MaxValue;
}
intKernel[i, j] = (int) v;
// collect sum
sum += intKernel[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
intKernel[i, j] = 2 * sum - intKernel[i, j];
}
else
{
// invert value
intKernel[i, j] = -intKernel[i, j];
}
// collect divisor
divisor += intKernel[i, j];
}
}
// update filter
this.Kernel = intKernel;
this.Divisor = divisor;
}
