xsk2_hog — 2D `texture` op

• Data kinds: image → image

• Call: fullseye.apply(img, "xsk2_hog", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

A visualization image of HOG (Histogram of Oriented Gradients) features. Calls `skimage.feature.hog with visualize=True` and returns the visualization image (discarding the feature vector itself).

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

a がセル 1 辺のピクセル数（`6 + 2*int(a*3)`、6/8/10/12 の 4 段階）を

振る。方向数は 8、ブロックは 2x2 に固定。b は未使用。出力は最大値で

正規化した勾配方向強度の可視化であり、HOG 特徴ベクトルそのものでは

ない。

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).*

xsk2_hog — 2D texture op