feature opvoxel → voxelimport 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 approximately 1/sqrt(2(n-1)) — 6.4% for a 5x5x5 window,
2.6% 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).
Empty input (vol with 0 elements) raises ValueError.
py -3.11 examples_3d/ct_porosity_and_fibre_morphometry.pyvoxel 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 · edt_jfa_vector · vol_frangi · vol_local_thickness · vol_orientation_coherence
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.