vol_sato — 3D feature op

資料種類:voxelvoxel

呼叫: import fullseye as fs; fs.ledger.vol_sato(vol, scales=(1, 2, 3), black_ridges=False)(要直接呼叫實作,import volops; volops.vol_sato(vol, scales=(1, 2, 3), black_ridges=False);從台帳取用則 ops3d.get("vol_sato"))

用法

3-D Sato 管狀度 —— 只用兩個特徵值的更簡線狀濾波。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

Per scale, from eigenvalues in algebraic order `e1 >= e2 >= e3` a bright

curvilinear (tube) structure has `e2, e3 < 0` and the tubeness is

`sqrt(e2 * e3) there (0 elsewhere); black_ridges=True` uses the two most

*positive* eigenvalues for dark tubes. The maximum over scales is normalised

to `[0, 1]`.

Cheaper and less selective than :func:vol_frangi (it does not explicitly

suppress plate- or blob-like structure), but a robust, well-cited tube

detector. Reference: Sato et al., Medical Image Analysis 1998.

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)

vessel_metrologypy -3.11 examples_3d/vessel_metrology.py

型別可銜接的下一個運算子(可接受 voxel 作為輸入)

voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa

同類別(feature)

sobel3d · hessian3d · curvature_maps · edt_jfa · vol_frangi · vol_local_std · vol_local_thickness · vol_orientation_coherence


*Provenance: volops.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.