Package boofcv.alg.filter.derivative

package boofcv.alg.filter.derivative

Related Packages

Package	Description
boofcv.alg.filter.derivative.impl

Class	Description
DerivativeHelperFunctions	Functions for image derivatives.
DerivativeLaplacian	The Laplacian is convolved across an image to find second derivative of the image.
DerivativeReduceType	Different ways to reduce a gradient
DerivativeType	List of standard kernels used to compute the gradient of an image.
GImageDerivativeOps	Generalized operations related to compute different image derivatives.
GradientPrewitt	Operations for computing Prewitt image gradient.
GradientReduceToSingle	Contains functions that reduce the number of bands in the input image into a single band.
GradientScharr	Implementation of the standard 3x3 Scharr operator.
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 - Lxy2 The Lxx and Lyy have a kernel of [1 0 -2 0 1] and Lxy is: