vol_distance_transform — 3D medial op

• 資料種類:voxel → voxel

• 呼叫: import fullseye as fs; fs.ledger.vol_distance_transform(vol_binary, spacing=None)(要直接呼叫實作,import volops; volops.vol_distance_transform(vol_binary, spacing=None);從台帳取用則 ops3d.get("vol_distance_transform"))

用法

二值體的精確歐氏距離變換。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

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.

參考(範例資料・文獻)

• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。

• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• 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

型別可銜接的下一個運算子(可接受 voxel 作為輸入)

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

同類別(medial)

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

*Provenance: volops.py — 3D 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.