Purpose

The module Diffusion implements the isotropic diffusion process in 2D using a semi-implicit AOS (Additive Operator Splitting) scheme.

For a 3D image, the diffusion is applied slice-wise.

Windows

Default Panel

../../../Modules/ML/MLDiffusion1/mhelp/Images/Screenshots/Diffusion._default.png

Input Fields

input0

name: input0, type: Image

Output Fields

output0

name: output0, type: Image

Parameter Fields

Field Index

Apply: Trigger
Diffusion Function: Enum
Edge Parameter: Float
Number of Iterations: Integer
Smoothing: Float
Status: String
Time Step Size: Float
Update Mode: Enum

Visible Fields

Update Mode

name: updateMode, type: Enum, default: AutoUpdate

Defines how the module should react on (input) field changes.

Values:

Title Name Description
Off Off The module does nothing on field changes.
Auto Update AutoUpdate The module computes a new output image on any field change.

Apply

name: apply, type: Trigger

When pressed, the output image is computed anew.

Status

name: status, type: String, persistent: no

Shows the status of the module.

Time Step Size

name: timeStepSize, type: Float, default: 5, minimum: 0, maximum: 200

Sets the time step size for approximation.

The smaller the step, the better the result.

Number of Iterations

name: numOfSteps, type: Integer, default: 10, minimum: 0, maximum: 200

Sets the number of iteration for the diffusion.

The higher the value, the longer the diffusion time.

Edge Parameter

name: edgeParameter, type: Float, default: 3, minimum: 1e-05, maximum: 200

Sets a value used to detect edges in the diffusivity function.

Smoothing

name: smoothing, type: Float, default: 1, minimum: 0, maximum: 20

Sets the amount of Gaussian smoothing of the current image to calculate the diffusion values.

Diffusion Function

name: diffusionFunction, type: Enum, default: Perona-Malik

Defines the diffusion function.

Values:

Title Name
Perona-Malik Perona-Malik
Charbonnier Charbonnier
Linear Linear
Weickert Weickert
Tukey Tukey
Exponential Exponential