GradientMagnitude

Derivative filter

SYNOPSIS

#include "dip_derivatives.h"

dip_Error dip_GradientMagnitude ( in, out, boundary, ps, sigmas, tc, flavour )

Depends on the underlying implementation, but expect:

binary, integer, float

Computes the gradient magnitude of an image using the Derivative function.

Data type	Name	Description
`dip_Image`	`in`	Input
`dip_Image`	`out`	Output
`dip_BoundaryArray`	`boundary`	Boundary conditions
`dip_BooleanArray`	`ps (0)`	Dimensions to process
`dip_FloatArray`	`sigmas`	Sigma of the Gaussian
`dip_float`	`tc`	Gaussian truncation, see `GlobalGaussianTruncationGet`
`dip_DerivativeFlavour`	`flavour`	Derivative flavour

The enumerator flavour parameter is one of:

Name	Description
`DIP_DF_DEFAULT`	Default derivative flavour (==`DIP_DF_FIRGAUSS`)
`DIP_DF_FIRGAUSS`	Gaussian family, FIR implementation, `Gauss`
`DIP_DF_IIRGAUSS`	Gaussian family, IIR implementation, `GaussIIR`
`DIP_DF_FTGAUSS`	Gaussian family, FT implementation, `GaussFT`
`DIP_DF_FINITEDIFF`	Finite difference implementation, `FiniteDifferenceEx`