vol_label — 3D `regionprops` op

• Data kinds: voxel → labels

• Call: import fullseye as fs; fs.ledger.vol_label(vol_binary, connectivity=26) (to call the implementation directly, import volops; volops.vol_label(vol_binary, connectivity=26); from the registry, ops3d.get("vol_label"))

• Return value through the ledger: fullseye.ledger.vol_label(...) returns **only the declared out type labels** (the underlying function also returns auxiliary values). When you need what was dropped, use fullseye.ledger.vol_label.raw(...) or call volops.vol_label directly.

• Underlying return: (labels, n)

Usage

3-D connected-component labelling with a selectable neighbourhood.

*connectivity* chooses the structuring element: `6` (face neighbours only),

`18 (faces + edges), or 26` (faces + edges + corners — the default,

`ndimage.generate_binary_structure(3, 3)). A non-{0, 1}` input is

thresholded at `> 0.5`.

Returns `(labels, n) — an int32 volume whose voxels are 0`

(background) or a component id in `1..n, and the component count n`.

The neighbourhood genuinely matters: two blobs meeting only at a corner are

*two* components under 6-connectivity but *one* under 26.

Background guides (the physics and conventions behind this op)

• measurement_uncertainty — 計測の不確かさと校正の知識 — 「測れている」を主張するために

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)

• ct_bone_segmentation — py -3.11 examples_3d/ct_bone_segmentation.py

• molecule_atom_count — py -3.11 examples_3d/molecule_atom_count.py

• vessel_metrology — py -3.11 examples_3d/vessel_metrology.py

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

fuse_to_voxel · vol_region_props

Same category (`regionprops`)

label_components · region_props · largest_component · filter_by_volume · inner_box3 · vol_region_props

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

vol_label — 3D regionprops op