sk_gabor — 2D texture op

Data kinds: imageimage

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)

sk_gabor: 入力 → 出力

*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).*

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.

Try it in Studio

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_gabor 0.50 0.50

▸ Load this pipeline  ·  Load & run

Runnable examples (verified samples that actually call this op)

gallery2d_texture_freqpy -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).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.