sk_gabor — 2D `texture` op

• Data kinds: image → image

• Call: fullseye.apply(img, "sk_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

Gabor filter response magnitude. A classic feature extractor that convolves a sinusoidally modulated Gaussian kernel and responds strongly to texture with a specific spatial frequency and orientation.

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

HALCON の gen_gabor(Generate a Gabor filter.)に相当(近似。カーネル生成ではなく畳み込み結果を返す)。実装は `filters.gabor(v, frequency=0.1+0.3*a) の実部(戻り値の 1 番目、虚部は捨てている)を絶対値化して正規化したもの —— a は周波数を 0.1〜0.4 に振る。方向 theta` は既定の 0(水平方向のしま模様に最も反応)に固定されており、b は未使用。方向を振りたい場合は本 op ではできないので注意。

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_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).*

sk_gabor — 2D texture op