feature op• データ種: voxel → voxel
• 呼び出し: import fullseye as fs; fs.ledger.vol_local_std(vol, size=5) (実装を直接呼ぶなら import volops; volops.vol_local_std(vol, size=5)、台帳から引くなら ops3d.get("vol_local_std"))
Unbiased local standard deviation inside a cubic window.
The 3-D counterpart of the registry op `local_std` (HALCON's
`deviation_image`). The variance is taken **after subtracting the global
mean** — `E[x^2] - E[x]^2` loses every significant digit on a volume whose
values sit far from zero, and the leftover shows up as a fake texture on a
uniform block. It is then unbiased twice: `n/(n-1)` on the variance and
`c4(n) on the square root, so the estimate of sigma` itself (not of
`sigma^2`) is unbiased.
*size* is the edge of the cubic window in voxels (odd, >= 3), so
`n = size**3` voxels enter each estimate. **The relative standard error of
a single voxel's estimate is `1/sqrt(2(n-1))`** — 3.1% for a 5x5x5 window,
1.1% for 9x9x9. Quote that figure whenever a noise or roughness number is
read off this volume.
Returns a `(D, H, W)` float64 volume in the input's own units (it is *not*
normalised, so values from different scans compare directly).
• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• ct_porosity_and_fibre_morphometry — py -3.11 examples_3d/ct_porosity_and_fibre_morphometry.py
voxel を入力に取れる)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_thickness · vol_orientation_coherence · vol_euler_number
*Provenance: volops.py — 3D operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.