probe op• 데이터 종류: voxel → table
• 호출: import fullseye as fs; fs.ledger.vol_edge_probe(vol, p0, p1, sigma=1.0, threshold=0.1, spacing=None, polarity='all')(구현을 직접 호출하려면 import volprobe; volprobe.vol_edge_probe(vol, p0, p1, sigma=1.0, threshold=0.1, spacing=None, polarity='all'), 원장에서 가져오려면 ops3d.get("vol_edge_probe"))
프로브 `p0 -> p1` 을 따라 에지를 서브샘플 정밀도로.
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
The profile (default sampling of :func:vol_profile_line) is smoothed
with a 1-D Gaussian of `sigma` samples, differentiated with respect
to the physical abscissa `t_mm`, and local extrema of the derivative
magnitude are taken as edges. Each is refined to sub-sample precision by a
3-point parabolic fit; plateau twins closer than 1.5 samples are merged.
`threshold` is an absolute derivative amplitude in intensity per
physical distance unit (per mm when `spacing` is given, per voxel
otherwise) — edges with `|d gray / d t| < threshold` at the peak are
discarded. It is *not* relative to the profile's own maximum: choose it
for your data's intensity range and spacing.
`polarity selects "positive"` (rising, dark -> bright along the
probe), `"negative" (falling) or "all"`.
Returns a list of dicts ordered by distance, each::
{"t_mm": physical distance of the edge from p0,
"position": (z, y, x) interpolated voxel coordinate of the edge,
"amplitude": |d gray / d t| at the peak (intensity / distance unit),
"polarity": +1 rising, -1 falling}
Raises `ValueError` on the same malformed inputs as
:func:vol_profile_line, a negative / non-finite `sigma` or
`threshold, or an unknown polarity`.
• 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.
• wall_thickness_probe — py -3.11 examples_3d/wall_thickness_probe.py
table 를 입력으로 받는 것)fuse_to_voxel · mesh_select_lod
probe)vol_profile_line · vol_wall_thickness
*Provenance: volprobe.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.