texture op• Data kinds: image → image
• Call: fullseye.apply(img, "xsk_sato", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*
Sato tubeness filter. Applies `skimage.filters.sato at three scales (sigma=1,2,3) to enhance tubular structures (such as blood vessels). Computing line/tube-likeness from the eigenvalue ratio of the Hessian matrix is the same family as xsk_meijering`, but the response weighting differs, and it doesn't respond as strongly at branch points as Meijering does.
> The detailed description below is the original text — the summary and the headings are translated.
`a, b は未使用(sigma は固定)。出力は _norm` で正規化した符号なし
強度画像。
• gallery2d_texture_freq 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.
The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.
xsk_sato 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_texture_freq — py -3.11 examples/gallery2d_texture_freq.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
texture)std_filter · gabor · sk_frangi · sk_meijering · sk_hessian · sk_gabor · sk_lbp · sk_entropy
*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.