feature op• 数据种类:voxel → voxel
• 调用: import fullseye as fs; fs.ledger.vol_hessian_blobness(vol, scale, black_ridges=False)(要直接调用实现,import volops; volops.vol_hessian_blobness(vol, scale, black_ridges=False);从台账取用则 ops3d.get("vol_hessian_blobness"))
由某 *scale* 下 Hessian 特征值得到的团块(球状)响应。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
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.
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• vessel_metrology — py -3.11 examples_3d/vessel_metrology.py
voxel 作为输入)voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa
feature)sobel3d · hessian3d · curvature_maps · edt_jfa · vol_frangi · vol_local_std · vol_local_thickness · vol_orientation_coherence
*Provenance: volops.py — 3D 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.