xsk2_rank_geomean — 2D `rank` op

• Data kinds: image → image

• Call: fullseye.apply(img, "xsk2_rank_geomean", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

A type of rank filter, the geometric mean filter. Applies `skimage.filters.rank.geometric_mean to an 8-bit converted image using a circular structuring element (skimage.morphology.disk`).

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

a が構造要素の半径（`1 + int(a*3)`、範囲 1〜4）を振る。b は未使用。算術平均より暗い側（小さい値）に強く引っ張られるため、明るいスペックル状のノイズを抑えるのに向く。

Detailed usage guide

• gallery2d_smoothing_rank 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_smoothing_rank — py -3.11 examples/gallery2d_smoothing_rank.py

Ops the type connects to (they accept `image` as input)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (`rank`)

median · min_filter · max_filter · percentile · sk_median_disk · cv_median · median_image · median_rect

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

xsk2_rank_geomean — 2D rank op