Purpose

The module RecGaussFilter applies an recursive, binomial (i.e., Gaussian, resp., 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

../../../Modules/ML/MLFilter1/mhelp/Images/Screenshots/RecGaussFilter._default.png

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 z-direction + 1.

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