boundary op• 데이터 종류: voxel → points
• 호출: import fullseye as fs; fs.ledger.vol_boundary_points(vol_binary, spacing=None, connectivity=6, origin=(0, 0, 0))(구현을 직접 호출하려면 import volops; volops.vol_boundary_points(vol_binary, spacing=None, connectivity=6, origin=(0, 0, 0)), 원장에서 가져오려면 ops3d.get("vol_boundary_points"))
경계 셸을 `(z, y, x) 순의 (N, 3)` 점군으로.
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
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).
• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.
• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.
• roi_domain_boundary — py -3.11 examples_3d/roi_domain_boundary.py
points 를 입력으로 받는 것)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 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.