DerivativeHelperFunctions 

DerivativeLaplacian 
The Laplacian is convolved across an image to find second derivative of the image.

GImageDerivativeOps 
Generalized operations related to compute different image derivatives.

GradientPrewitt 

GradientReduceToSingle 
Contains functions that reduce the number of bands in the input image into a single band.

GradientSobel 
Computes the image's first derivative along the x and y axises using the Sobel operator.

GradientThree 
Computes the image's first derivative along the x and y axises using [1 0 1] kernel.

GradientTwo0 
Computes the image's first derivative along the x and y axises using [1 1] kernel, where the "center" of the
kernel is on the 1.

GradientTwo1 
Computes the image's first derivative along the x and y axises using [1 1] kernel, where the "center" of the
kernel is on the 1.

HessianFromGradient 
These functions compute the image hessian by computing the image gradient twice.

HessianSobel 
Computes the second derivative (Hessian) of an image using.

HessianThree 
Computes the second derivative (Hessian) of an image using.

HessianThreeDeterminant 
Computes the determinant of a Hessian computed by differentiating using [1 0 1] kernel.
f(x,y) = Lxx*Lyy  Lxy^{2}
The Lxx and Lyy have a kernel of [1 0 2 0 1] and Lxy is:
