texture op• Data kinds: image → image
• Call: fullseye.apply(img, "sk_meijering", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: lines_gauss (the HALCON reference is a useful guide to its meaning and parameters)
*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).*
Meijering's neurite detection filter (neuriteness filter). Like Frangi, it computes a similarity to tubular structures from the eigenvalues of the Hessian, but uses a different normalization method (a formula tuned for neurite images).
> The detailed description below is the original text — the summary and the headings are translated.
HALCON の lines_gauss に相当(近似)。a, b は未使用 —— スケールは `sigmas=range(1, 4) に固定。sk_frangi と並べて使い、どちらが対象の線構造に強く反応するか比較する用途を想定。既定で black_ridges=True`。
• 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.
sk_meijering 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_hessian · sk_gabor · sk_lbp · sk_entropy · sk_shape_index
*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.