vol_hessian_blobness — 3D feature op

Data kinds: voxelvoxel

Call: import volops; volops.vol_hessian_blobness(vol, scale, black_ridges=False) (or ops3d.get("vol_hessian_blobness"))

Usage

Blob-like (spherical) response from the Hessian eigenvalues at one *scale*.

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)

vessel_metrologypy -3.11 examples_3d/vessel_metrology.py

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

voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa

Same category (feature)

sobel3d · hessian3d · curvature_maps · edt_jfa · vol_frangi · vol_sato · vol_gradient_magnitude · vol_local_maxima


*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.