xsk_meijering — 2D `texture` op

• Data kinds: image → image

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

Usage

> This operator's description has not been translated yet. The original text follows as it is.

Meijering neuriteness フィルタ。skimage.filters.meijering をスケール

sigma=1,2,3 の 3 段で適用し、細い曲線状構造(血管・神経突起など)を強調する

(ヘッセ行列の固有値から尾根らしさを計算する点は Frangi 系と同様だが、

Meijering は分岐点にも強く応答する)。

`a, b は未使用(sigma は固定)。出力は _norm` で最大絶対値を 1 に

正規化した符号なし強度画像。

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).*

xsk_meijering — 2D texture op