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docs/nodes/Hough Transform.md

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+# Hough Transform
+
+Detect lines or circles in images using the Hough transform. Returns an accumulator image and a table of detected features. Equivalent to Gwyddion's hough.c module.
+
+## Inputs
+
+| Name | Type | Required | Description |
+|------|------|----------|-------------|
+| field | DATA_FIELD | Yes | Input field (edge-detected images work best) |
+
+## Outputs
+
+| Name | Type | Description |
+|------|------|-------------|
+| accumulator | DATA_FIELD | Hough accumulator space |
+| detections | RECORD_TABLE | Table of detected lines or circles |
+
+## Controls
+
+| Name | Type | Default | Description |
+|------|------|---------|-------------|
+| mode | dropdown | lines | Detection mode: lines or circles |
+| n_peaks | INT | 3 | Number of strongest features to report (1–50) |
+| threshold | FLOAT | 1.0 | Minimum accumulator value relative to peak (0.1–10.0) |
+| min_radius | INT | 10 | Minimum circle radius in pixels (circles mode only) |
+| max_radius | INT | 30 | Maximum circle radius in pixels (circles mode only) |
+
+## Notes
+
+- For line detection, apply Edge Detect first for best results. Lines are reported as (angle, distance) pairs.
+- For circle detection, min/max radius constrains the search range. Circles are reported as (center_x, center_y, radius).
+- The accumulator image visualises the parameter space — bright spots correspond to detected features.