macro op• Data kinds: volume → volume
• Call: fullseye.apply(img, "macro_vol_denoise", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
A fixed pipeline discovered by evolutionary search (3-D volume version): `vol_threshold(a=0.52,b=0.76) → vol_gaussian(a=0.08,b=0.89)` (2 stages: apply 3-D thresholding, then Gaussian smoothing).
> The detailed description below is the original text — the summary and the headings are translated.
`a, b` は凍結済みで未使用。in_sort/out_sort は volume。volume の denoise 課題（PSNR）でロック済みホールドアウト 25.74dB、手作りベースライン20.94dB を上回る。HALCON に対応する単一オペレータは無い。
• gallery2d_physics_alife_3d family guide
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• gallery2d_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py
volume as input)identity · vol_gaussian · vol_median · vol_erode · vol_dilate · vol_threshold · vol_reg_dilate · vol_reg_erode
macro)macro_denoise · macro_edge · macro_binarize
*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.