public static void GaussianSmooth(IImage <double> source, IImage <double> target, double scale)
{
Kernel1D smooth = Kernel1D.CreateGaussian(scale);
IImage <double> tempor = source.CloneSize();
SeparableConvolveX(source, tempor, smooth);
SeparableConvolveY(tempor, target, smooth);
}
public static void GaussianGradient(IImage <double> source, IImage <double> targetX, IImage <double> targetY, double scale)
{
Kernel1D smooth = Kernel1D.CreateGaussian(scale);
Kernel1D grad = Kernel1D.CreateGaussianDerivative(scale, 1);
IImage <double> tempor = source.CloneSize();
SeparableConvolveX(source, tempor, grad);
SeparableConvolveY(tempor, targetX, smooth);
SeparableConvolveX(source, tempor, smooth);
SeparableConvolveY(tempor, targetY, grad);
}
public static void HessianMatrixOfGaussian(IImage <double> source, IImage <double> targetXX, IImage <double> targetYY, IImage <double> targetXY, double scale)
{
Kernel1D smooth = Kernel1D.CreateGaussian(scale);
Kernel1D deriv1 = Kernel1D.CreateGaussianDerivative(scale, 1);
Kernel1D deriv2 = Kernel1D.CreateGaussianDerivative(scale, 2);
IImage <double> tempor = source.CloneSize();
SeparableConvolveX(source, tempor, deriv2);
SeparableConvolveY(tempor, targetXX, smooth);
SeparableConvolveX(source, tempor, smooth);
SeparableConvolveY(tempor, targetYY, deriv2);
SeparableConvolveX(source, tempor, deriv1);
SeparableConvolveY(tempor, targetXY, deriv1);
}