vol_edge_probe — 3D probe op

資料種類:voxeltable

呼叫: import fullseye as fs; fs.ledger.vol_edge_probe(vol, p0, p1, sigma=1.0, threshold=0.1, spacing=None, polarity='all')(要直接呼叫實作,import volprobe; volprobe.vol_edge_probe(vol, p0, p1, sigma=1.0, threshold=0.1, spacing=None, polarity='all');從台帳取用則 ops3d.get("vol_edge_probe"))

用法

沿探針 `p0 -> p1` 以次取樣精度定位邊緣。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

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`.

參考(範例資料・文獻)

• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。

• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

wall_thickness_probepy -3.11 examples_3d/wall_thickness_probe.py

型別可銜接的下一個運算子(可接受 table 作為輸入)

fuse_to_voxel · mesh_select_lod

同類別(probe)

vol_profile_line · vol_wall_thickness


*Provenance: volprobe.py — 3D 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*

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