fullseye

vol_distance_transform — 3D medial op

• データ種: voxel → voxel
• 呼び出し: import fullseye as fs; fs.ledger.vol_distance_transform(vol_binary, spacing=None) (実装を直接呼ぶなら import volops; volops.vol_distance_transform(vol_binary, spacing=None)、台帳から引くなら ops3d.get("vol_distance_transform"))

使い方

Exact Euclidean distance transform of a binary volume.

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(サンプルデータ・文献)

• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• 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

型が繋がる次の op(voxel を入力に取れる)

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

同カテゴリ(medial)

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

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Provenance: volops.py — 3D operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。

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

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