29 lines
923 B
Markdown
29 lines
923 B
Markdown
# Entropy
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Compute the Shannon entropy of the height or slope distribution. H = −Σ p·ln(p). Equivalent to Gwyddion entropy.c.
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## Inputs
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| Name | Type | Required | Description |
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|------|------|----------|-------------|
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| field | DATA_FIELD | Yes | Input field |
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## Outputs
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| Name | Type | Description |
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|------|------|-------------|
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| entropy | FLOAT | Shannon entropy in nats |
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| normalised_entropy | FLOAT | Entropy divided by ln(n_bins), in [0, 1] |
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## Controls
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| Name | Type | Default | Description |
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|------|------|---------|-------------|
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| mode | dropdown | height values | Compute entropy of height values or slope magnitude |
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| n_bins | INT | 256 | Number of histogram bins for probability estimation (16–1024) |
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## Notes
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- Entropy is sensitive to n_bins; very few bins underestimate entropy while very many bins overestimate it for small fields.
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- Non-finite pixel values are removed before binning.
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