Smoothen Field

About this Block

What it does: Inputs any Scalar Field and uses a Gaussian Blur function to smooth values in the field. Common uses:

Smoothening fields from topology optimization results
Blurring fields for textures

Tips:

Requires a field discretization, which uses the Grid Size input as a modifier. Grid Size represents the spacing between each sample point. Smaller Grid Size values return a Scalar Field that captures finer detail but takes longer to compute.
The number of iterations contributes to both the overall smoothness and computation time.
The iterations control how many times it applies the Gaussian smoothing algorithm to the input Scalar Field

Example File

Download Example: Smoothen Field Example Screenshot

Example Screenshot

Smoothen a field with a Gaussian image kernel.

Inputs

Name	Type	Description
Scalar field	Scalar Field	Field to smooth.
Grid size	Scalar	Size of the sampled grid spacing.
Smooth iterations	Integer	Number of smoothing iterations.
Interpolation type	Interpolation Enum	Interpolation type.
Domain	Bounding Box	Optional bounding box to specify the region of the field to smoothen. If no domain is specified, it will attempt to smoothen with the input field’s bounding box. Note that if the field’s bounding box is too large, the algorithm may take a long time to run.
Extrapolation	Blending Side Enum	Specifies the smoothing region when a Domain is provided. Select inside to fully constrain the smoothing to within the Domain, and select Outside to extend the smoothing outside of the Domain input.

Outputs

Type
Scalar Field

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