vol_distance_transform — 3D medial op

• 数据种类:voxel → voxel

• 调用: import fullseye as fs; fs.ledger.vol_distance_transform(vol_binary, spacing=None)(要直接调用实现,import volops; volops.vol_distance_transform(vol_binary, spacing=None);从台账取用则 ops3d.get("vol_distance_transform"))

用法

二值体的精确欧氏距离变换。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

Each foreground (non-zero) voxel is labelled with its Euclidean distance to

the nearest background voxel, via `scipy.ndimage.distance_transform_edt`.

Pass *spacing* `(sz, sy, sx) (e.g. VolumeMeta.spacing_mm`, or the

`VolumeMeta` itself) to make the distance anisotropy-aware — millimetres

rather than voxels; otherwise unit spacing is assumed. A non-`{0, 1}` input

is thresholded at `> 0.5`.

Returns a `(D, H, W)` float64 distance field (0 on the background).

Reference: Felzenszwalb & Huttenlocher, Theory of Computing 2012.

参考(示例数据・文献)

• 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。

可运行的示例(实际调用该算子并已验证的样例)

• medial_topology — py -3.11 examples_3d/medial_topology.py

• molecule_atom_count — py -3.11 examples_3d/molecule_atom_count.py

• vessel_metrology — py -3.11 examples_3d/vessel_metrology.py

类型可衔接的下一个算子(可接受 voxel 作为输入)

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

同类别(medial)

distance_ridge · skeletonize_vol · medial_axis_points · topology_signature · medial_match · skeleton_junctions3d · skeleton_endpoints3d · skeleton_prune3d

*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.