feature op• 데이터 종류: voxel → voxel
• 호출: import fullseye as fs; fs.ledger.vol_local_thickness(vol_binary, spacing=None, max_radius=None)(구현을 직접 호출하려면 import volops; volops.vol_local_thickness(vol_binary, spacing=None, max_radius=None), 원장에서 가져오려면 ops3d.get("vol_local_thickness"))
국소 두께 지도 —— 각 복셀을 덮을 수 있는 최대 구의 지름.
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
For every foreground voxel this is ``max{ 2r : the voxel lies inside some ball
of radius r that fits entirely in the foreground }`` — the classical
granulometric size, and the quantity trabecular-bone and industrial-CT work
calls *local thickness* (a pore's local thickness is its diameter; a wall's is
its thickness). Computed from the exact distance transform: take the voxels
whose distance is at least `r` as ball centres and paint the balls they
cover, largest radius first.
★**Distinct from `vol_wall_thickness`**, which walks a single probe segment
`p0 -> p1` and returns a list of crossings. This one is a *volume*, so the
thickness of every feature is available at once and can be histogrammed.
Pass *spacing* `(sz, sy, sx) (or a :class:volio.VolumeMeta`) and the
result is in millimetres; otherwise in voxels. *max_radius* caps the
search (in the same units); leave it `None` to derive it from the largest
distance actually present, which costs one pass more but never saturates.
Applicability. (1) The foreground comes from a single threshold, so
beam hardening or a brightness gradient biases the thickness across the
volume — flatten first. (2) With anisotropic voxels the ball is a ball in
millimetres, not in voxels, so *spacing* is not cosmetic. (3) A feature
three voxels across is quantised at better than 30% only if you say so:
report the voxel size next to any thickness number.
Returns a `(D, H, W)` float64 volume, 0 on the background.
• 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.
• ct_porosity_and_fibre_morphometry — py -3.11 examples_3d/ct_porosity_and_fibre_morphometry.py
voxel 를 입력으로 받는 것)voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa
feature)sobel3d · hessian3d · curvature_maps · edt_jfa · vol_frangi · vol_local_std · vol_orientation_coherence · vol_euler_number
*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.