boundary op• データ種: voxel → points
• 呼び出し: import fullseye as fs; fs.ledger.vol_boundary_points(vol_binary, spacing=None, connectivity=6, origin=(0, 0, 0)) (実装を直接呼ぶなら import volops; volops.vol_boundary_points(vol_binary, spacing=None, connectivity=6, origin=(0, 0, 0))、台帳から引くなら ops3d.get("vol_boundary_points"))
境界シェルを `(z, y, x) 順の (N, 3)` 点群として。
> 以下の詳細説明は原文のままです —— 要約と見出しは訳出済み。
The bridge from the voxel world to the point-cloud world at minimal memory:
only the *surface* voxels of the mask become points (inner boundary, see
:func:vol_boundary), so a solid object of a million voxels typically
yields a few tens of thousands of points — ready for `fit_sphere3` /
`smallest_box3 / register_fpfh` and friends without ever materialising
the full grid as points.
Coordinates are `(index + origin) * spacing` per axis: pass *spacing*
`(sz, sy, sx) (or a :class:volio.VolumeMeta`) for physical millimetre
coordinates, and pass the offset returned by :func:vol_crop_domain as
*origin* so points from a cropped volume land in the uncropped frame
(*origin* is in voxel units — it is added to the index *before* the
spacing multiply; it must be finite, and may be fractional for a subvoxel
shift). An empty mask returns an empty `(0, 3)` array (a valid question
with a valid empty answer — unlike a crop, which needs a box to exist).
Returns an `(N, 3)` float64 array, rows ordered z-major (deterministic).
• 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。
• roi_domain_boundary — py -3.11 examples_3d/roi_domain_boundary.py
points を入力に取れる)points_to_voxel · gaussians_to_voxel · estimate_point_normals · to_points · match_points_ncc · match_pca · moment_axes · icp_point2point_3d
boundary)*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.