RecGaussFilter

MLModule

genre	Diffusion
author	MeVis Medical Solutions AG
package	MeVisLab/Standard
dll	MLFilter1
definition	mlFilter1.def
see also	RecAnisoDiffusion
keywords	gaussian, diffusion, smoothing, enhancement, kernel

Purpose

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

Details

If any kernel size is set to a value <= 0, the module’s output is invalidated.

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 the x-direction + 1.

Kernel y-size

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

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

Kernel z-size

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

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

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