vol_local_maxima — 3D `feature` op

• Data kinds: voxel → points

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

Usage

3-D local-maxima (peak) detection.

A voxel is a peak if it equals the maximum over a cubic neighbourhood of

half-width `min_distance (side 2*min_distance + 1`) and that

neighbourhood is not flat (its max strictly exceeds its min, so a constant

region yields no peaks). Pass *threshold* to additionally require

`vol >= threshold` (drop weak peaks in noise).

Returns an `(N, 3) int array of (z, y, x)` peak coordinates. Uses only

`scipy.ndimage.maximum_filter / minimum_filter` (no skimage).

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

• vessel_metrology — py -3.11 examples_3d/vessel_metrology.py

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

points_to_voxel · gaussians_to_voxel · estimate_point_normals · to_points · match_points_ncc · match_pca · moment_axes · icp_point2point_3d

Same category (`feature`)

sobel3d · hessian3d · curvature_maps · edt_jfa · vol_frangi · vol_local_std · vol_local_thickness · vol_orientation_coherence

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

vol_local_maxima — 3D feature op