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tono/docs/nodes/Trimmed Mean.md

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Trimmed Mean

Apply a local trimmed-mean filter to a DATA_FIELD. Within each circular window, the lowest and highest fraction of pixel values are excluded before computing the mean. This provides smoothing that is more robust to outliers than a plain Gaussian or mean filter. Equivalent to Gwyddion's trimmed-mean.c module.

Inputs

Name Type Required Description
field DATA_FIELD Yes Input field to filter

Outputs

Name Type Description
filtered DATA_FIELD Trimmed-mean filtered field

Controls

Name Type Default Description
radius INT 3 Radius of the circular filter window in pixels (1-50)
trim_fraction FLOAT 0.1 Fraction of values to exclude from each end of the sorted window (0.0-0.49)

Notes

  • A trim_fraction of 0.0 gives a plain local mean (no trimming). A trim_fraction approaching 0.5 converges to the local median.
  • Typical values of 0.05-0.2 effectively suppress outlier spikes while preserving smooth features better than a median filter.
  • The filter uses a circular (disc-shaped) kernel; the actual window diameter is 2*radius + 1 pixels.
  • More computationally expensive than a Gaussian filter due to the sorting step within each window.