vol_watershed — 3D segment op

• Data kinds: voxel → labels

• Call: import fullseye as fs; fs.ledger.vol_watershed(vol, markers, mask=None) (to call the implementation directly, import volops; volops.vol_watershed(vol, markers, mask=None); from the registry, ops3d.get("vol_watershed"))

Usage

Marker-controlled 3-D watershed segmentation (optional — scikit-image).

Floods the volume from the labelled *markers* (an int volume, `0` = unset),

optionally restricted to *mask*. Delegates to

`skimage.segmentation.watershed` — treat *vol* as a landscape (e.g. a

gradient magnitude, or the negated distance transform for splitting touching

blobs). Returns an `int32 (D, H, W)` label volume.

Raises `ImportError with a clear pip install scikit-image` message when

the optional dependency is absent; the rest of this module needs only

numpy + scipy.

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)

• molecule_atom_count — py -3.11 examples_3d/molecule_atom_count.py

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

fuse_to_voxel · vol_region_props

Same category (segment)

region_growing · euclidean_cluster · plane_segmentation

*Provenance: volops.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.