xmh_zernike — 2D `texture/shape-feature` op

• Data kinds: image → feature

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

Usage

Sum of Zernike moments (`mahotas.features.zernike_moments`). Collapses the rotation-invariant shape/intensity-distribution features of the image mapped onto the unit circle into a single real number.

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

半径は画像の短辺の半分に固定。`a は次数(degree、6〜12 の整数)を振る —— 次数を上げるほど高次のモーメントまで加算され値が変わる。b は未使用。モーメント成分ごとの符号や大きさの分布は総和で相殺・情報が失われるため、形状の指紋として使うには弱い。個々の成分が要る場合は mahotas.features.zernike_moments` を直接呼ぶこと。

Detailed usage guide

• gallery2d_features 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_features — py -3.11 examples/gallery2d_features.py

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

identity

Same category (`texture/shape-feature`)

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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).*

xmh_zernike — 2D texture/shape-feature op