gen_gabor — 2D `texture` op

• Data kinds: image → image

• Call: fullseye.apply(img, "gen_gabor", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

• HALCON equivalent: gen_gabor (the HALCON reference is a useful guide to its meaning and parameters)

Usage

Returns the absolute value of the convolution response from a single Gabor kernel (orientation `theta=pi*a, frequency 0.1+0.3*b), normalized by the kernel's L1 norm. A real-part-only kernel with the DC component removed (mean subtracted), acting as a band-pass texture filter that responds selectively to stripe patterns of the specified direction and frequency. Corresponds to HALCON's gen_gabor` (Generate a Gabor filter) -- a simplified version using only a real kernel with no imaginary part / phase.

> The detailed description below is the original text — the summary and the headings are translated.

`a が向き θ(0〜180°)を、b` が空間周波数(0.1〜0.4)を振る。両方が

使われる。`a=0 が縦縞、a=0.5`(90°)が横縞に応答する規約。

Detailed usage guide

• gallery2d_texture_freq family guide

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• gallery2d_texture_freq — py -3.11 examples/gallery2d_texture_freq.py

Ops the type connects to (they accept `image` as input)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (`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).*

gen_gabor — 2D texture op