mean_sp — 2D `rank` op

• Data kinds: image → image

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

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

Usage

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

ロバスト平滑化フィルタ。窓内の 20 パーセンタイルと 80 パーセンタイルの平均を返す（トリム平均、trimmed mean）ことで、極端に明るい/暗い外れ値（ソルト&ペッパー雑音など）の影響を抑える。a が窓サイズを 3/5/7/9 に振る（`_k(a)`）。b は未使用。

HALCON の `mean_sp`（ソルト&ペッパーノイズを抑制する平均化演算）に相当する近似 —— 上下 20% を除いた範囲の中点をとる点で単純平均よりノイズに強いが、HALCON 固有のアルゴリズムとは実装が異なる。

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).*

mean_sp — 2D rank op