feature op• Data kinds: voxel → voxel
• Call: import fullseye as fs; fs.ledger.vol_hessian_blobness(vol, scale, black_ridges=False) (implementation को सीधे call करना हो तो import volops; volops.vol_hessian_blobness(vol, scale, black_ridges=False), registry से लेना हो तो ops3d.get("vol_hessian_blobness"))
एक *scale* पर Hessian eigenvalues से blob-like (spherical) response।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
A bright blob has all three eigenvalues negative and comparable in magnitude; the response is the geometric mean of their magnitudes, (|l1| |l2| |l3|)**(1/3), gated to voxels where the three share the sign of a blob of the requested polarity (all negative for bright, all positive for dark). Normalised to [0, 1]. Complements the line filters — a Frangi-style Rb term rejects blobs, this one keeps them. Reference: the second-order (Hessian) blob measure, cf. Frangi et al. 1998 / Lindeberg scale-space blobs.
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• vessel_metrology — py -3.11 examples_3d/vessel_metrology.py
voxel को input के रूप में लेते हैं)voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa
feature)sobel3d · hessian3d · curvature_maps · edt_jfa · edt_jfa_vector · vol_frangi · vol_local_std · vol_local_thickness
*Provenance: volops.py — 3D operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.