sk_meijering — 2D `texture` op

• Data kinds: image → image

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

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

Usage

Meijering's neurite detection filter (neuriteness filter). Like Frangi, it computes a similarity to tubular structures from the eigenvalues of the Hessian, but uses a different normalization method (a formula tuned for neurite images).

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

HALCON の lines_gauss に相当(近似)。a, b は未使用 —— スケールは `sigmas=range(1, 4) に固定。sk_frangi と並べて使い、どちらが対象の線構造に強く反応するか比較する用途を想定。既定で black_ridges=True`。

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_hessian · sk_gabor · 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_meijering — 2D texture op