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.

Властивості

Тип Даних – 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.

Inputs – Уводи

Grid – Сітка

The input volume grid to smooth.

Width – Ширина

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

Iterations – Ітерації

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

Outputs – Виводи

Grid – Сітка

The filtered grid with smoothed voxel values.