32 lines
1.2 KiB
Markdown
32 lines
1.2 KiB
Markdown
# Grain Distributions
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Compute a histogram distribution of a grain property from a labeled mask. Supported properties: area, equivalent diameter, mean height, max height, volume, and boundary length. Equivalent to Gwyddion's grain_dist.c module.
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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 surface data |
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| mask | IMAGE | Yes | Binary mask defining grain regions |
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## Outputs
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| Name | Type | Description |
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|------|------|-------------|
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| distribution | LINE_DATA | Histogram of the selected grain property |
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## Controls
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| Name | Type | Default | Description |
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|------|------|---------|-------------|
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| property | dropdown | area | Grain property to plot: area, equiv_diameter, mean_height, max_height, volume, boundary_length |
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| n_bins | INT | 30 | Number of histogram bins (5-200) |
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| min_size | INT | 10 | Minimum grain size in pixels to include (1-100000) |
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## Notes
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- Volume is computed relative to the mean height of the non-grain (background) region.
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- Boundary length is estimated by counting boundary pixels and multiplying by the pixel size.
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- For per-grain statistics (not histograms), use Grain Analysis instead.
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- For aggregate summary statistics, use Grain Summary.
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