feature op• 数据种类:voxel → voxel
• 调用: import fullseye as fs; fs.ledger.vol_sato(vol, scales=(1, 2, 3), black_ridges=False)(要直接调用实现,import volops; volops.vol_sato(vol, scales=(1, 2, 3), black_ridges=False);从台账取用则 ops3d.get("vol_sato"))
3-D Sato 管状度 —— 只用两个特征值的更简线状滤波。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
Per scale, from eigenvalues in algebraic order `e1 >= e2 >= e3` a bright
curvilinear (tube) structure has `e2, e3 < 0` and the tubeness is
`sqrt(e2 * e3) there (0 elsewhere); black_ridges=True` uses the two most
*positive* eigenvalues for dark tubes. The maximum over scales is normalised
to `[0, 1]`.
Cheaper and less selective than :func:vol_frangi (it does not explicitly
suppress plate- or blob-like structure), but a robust, well-cited tube
detector. Reference: Sato et al., Medical Image Analysis 1998.
• 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.