Grid Mean Node

The Grid Mean node applies a mean (box) filter to a volume grid. For each active voxel, the value is replaced with the average of neighboring voxels within a box-shaped region defined by the filter width.

This operation smooths voxel data and reduces high-frequency variations. It is commonly used to soften density fields, smooth noise, or prepare volume data for further processing.

თვისებები (Properties)

მონაცემთა ტიპი (Data Type)

The type of data stored in the grid (for example Float, Integer, or Vector). Must match the data type of the input grid.

შენატანები

ბადე (Grid)

The input volume grid to smooth.

სიგანე (Width)

The filter kernel radius in voxels. Larger values increase the size of the neighborhood used for averaging, resulting in stronger smoothing.

იტერაციები (Iterations)

Number of times the mean filter is applied. Higher values produce progressively smoother results.

გამონატანები

ბადე (Grid)

გაფილტრული ბადე ვოქსელების გათანაბრებული მნიშვნელობებით.