feature op• 資料種類:voxel → voxel
• 呼叫: import fullseye as fs; fs.ledger.vol_hessian_blobness(vol, scale, black_ridges=False)(要直接呼叫實作,import volops; volops.vol_hessian_blobness(vol, scale, black_ridges=False);從台帳取用則 ops3d.get("vol_hessian_blobness"))
由某 *scale* 下 Hessian 特徵值得到的團塊(球狀)響應。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
A bright blob has all three eigenvalues negative and comparable in magnitude;
the response is the geometric mean of their magnitudes,
`(|l1| |l2| |l3|)**(1/3)`, gated to voxels where the three share the sign of
a blob of the requested polarity (all negative for bright, all positive for
dark). Normalised to `[0, 1]`. Complements the line filters — a Frangi-style
`Rb` term rejects blobs, this one keeps them. Reference: the second-order
(Hessian) blob measure, cf. Frangi et al. 1998 / Lindeberg scale-space blobs.
• 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。
• vessel_metrology — py -3.11 examples_3d/vessel_metrology.py
voxel 作為輸入)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_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.