RecGaussFilter

MLModule

genre	Diffusion
status	stable
author	Horst Hahn
package	MeVisLab/Standard
dll	MLFilter1
definition	mlFilter1.def
see also	KernelFilter, RecAnisoDiffusion
keywords	gaussian, diffusion, filter, smoothing, enhancement, kernel

Purpose

The module RecGaussFilter applies an recursive, binomial (i.e. gaussian, resp., isotropic diffusion) filter to the image.

Windows

Default Panel

Input Fields

input0

name: input0, type: Image

A scalar ML image.

Output Fields

output0

name: output0, type: Image

A filtered image.

Parameter Fields

Visible Fields

Kernel x-size

name: kernelX, type: Integer, default: 3, minimum: 1, maximum: 99

Sets the number of passes in x-direction + 1.

Kernel y-size

name: kernelY, type: Integer, default: 3, minimum: 1, maximum: 99

Sets the number of passes in y-direction + 1.

Kernel z-size

name: kernelZ, type: Integer, default: 1, minimum: 1, maximum: 19

Sets the number of passes in y-direction + 1.

Note: be careful with this parameter. A value too high can lead to a long computation time.