texture op• Data kinds: image → image
• Call: fullseye.apply(img, "texture_laws", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: texture_laws (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).*
The implementation is the local variance (the variance version of `deviation_image, i.e. E[x^2]-E[x]^2 within the window). The true Laws' texture filter is a bank of 25 convolutions built from 1D kernel pairs such as L5/E5/S5/W5/R5 (capturing energy/edges/waves/spots/ripples), but this substitute uses a single local variance instead of the full kernel bank (a limitation of the approximation -- direction- and frequency-specific information is lost). A stand-in for HALCON's texture_laws` (Filter an image using a Laws texture filter).
> The detailed description below is the original text — the summary and the headings are translated.
`a が窓の一辺を {3,5,7,9} で振る。b` は未使用。
• 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.
texture_laws 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.