feature op• Datenarten: voxel → voxel
• Aufruf: import fullseye as fs; fs.ledger.vol_local_std(vol, size=5) (die Implementierung direkt: import volops; volops.vol_local_std(vol, size=5); aus dem Register: ops3d.get("vol_local_std"))
Erwartungstreue lokale Standardabweichung in einem Würfelfenster.
> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.
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).
• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).
• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.
• ct_porosity_and_fibre_morphometry — py -3.11 examples_3d/ct_porosity_and_fibre_morphometry.py
voxel als Eingabe)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. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.