texture op• Data kinds: image → feature
• Call: fullseye.apply(img, "cooc_feature_matrix", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: cooc_feature_matrix (the HALCON reference is a useful guide to its meaning and parameters)
Computes the Haralick texture feature `energy (angular second moment, i.e., how concentrated the matrix values are = texture uniformity) from a gray-level co-occurrence matrix (GLCM, skimage.feature.graycomatrix, quantized to 16 levels, distance 1+3*a, angle 0 degrees). Equivalent to HALCON's cooc_feature_matrix` (Calculate gray value features from a co-occurrence matrix.) (HALCON can return multiple features and multiple angles simultaneously, but this is simplified to energy at a fixed 0-degree angle).
> The detailed description below is the original text — the summary and the headings are translated.
`a が共起を取る画素間距離を 1〜4 の範囲で振る。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.
• gallery2d_texture_freq — py -3.11 examples/gallery2d_texture_freq.py
feature as input)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.