euclidean_cluster — 3D segment op

• Data kinds: points → labels

• Call: import segment3d; segment3d.euclidean_cluster(points, tol: 'float', min_size: 'int' = 10) -> 'np.ndarray' (or ops3d.get("euclidean_cluster"))

Usage

Distance clustering by the connected components of the proximity graph at radius tol (−1 = noise).

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

Runnable examples (verified samples that actually call this op)

• object_segmentation — py -3.11 examples_3d/object_segmentation.py

Ops the type connects to (they accept labels as input)

fuse_to_voxel · vol_region_props

Same category (segment)

region_growing · plane_segmentation · vol_watershed

*Provenance: segment3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.