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