xmh_majority — 2D region-morphology op

• Data kinds: region → region

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

Usage

Majority filter (`mahotas.majority_filter`). For a binary region, a smoothing operation that keeps a pixel as 1 only where 1s form a majority within a square neighborhood. Used to remove isolated noise and smooth jagged region boundaries.

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

`a は窓サイズ(2*int(1+a*4)+1 で 3〜17 の奇数)を振る。b` は未使用。

Detailed usage guide

• gallery2d_region 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_region — py -3.11 examples/gallery2d_region.py

Ops the type connects to (they accept region as input)

identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small

Same category (region-morphology)

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*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.