add keywords for all nodes
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@@ -18,12 +18,12 @@ Apply a local trimmed-mean filter to a DATA_FIELD. Within each circular window,
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| Name | Type | Default | Description |
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|------|------|---------|-------------|
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| radius | INT | 3 | Radius of the circular filter window in pixels (1–50) |
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| trim_fraction | FLOAT | 0.1 | Fraction of values to exclude from each end of the sorted window (0.0–0.49) |
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| radius | INT | 3 | Radius of the circular filter window in pixels (1-50) |
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| trim_fraction | FLOAT | 0.1 | Fraction of values to exclude from each end of the sorted window (0.0-0.49) |
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## Notes
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- A trim_fraction of 0.0 gives a plain local mean (no trimming). A trim_fraction approaching 0.5 converges to the local median.
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- Typical values of 0.05–0.2 effectively suppress outlier spikes while preserving smooth features better than a median filter.
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- Typical values of 0.05-0.2 effectively suppress outlier spikes while preserving smooth features better than a median filter.
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- The filter uses a circular (disc-shaped) kernel; the actual window diameter is 2*radius + 1 pixels.
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- More computationally expensive than a Gaussian filter due to the sorting step within each window.
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