fullseye

patchbank_score — SPC anomaly_patch op

• データ種: image2d × table → table
• 呼び出し: import fullseye as fs; fs.ledger.patchbank_score(image, model, k=1, smooth=4.0) (実装を直接呼ぶなら import anomaly_patch; anomaly_patch.patchbank_score(image, model, k=1, smooth=4.0)、台帳から引くなら opsspc.get("patchbank_score"))

使い方

Score one image by the distance of each patch to its k nearest good patches in the bank (table).

model comes from patchbank_fit; image must have the training images’ shape. The distance (Euclidean, in standardised feature space; the mean over the k nearest) is computed exactly by brute force, interpolated to the image size and smoothed by a Gaussian of smooth px. Returns map (H, W), grid (raw distances), image_score (maximum of the smoothed map), k and smooth.

Raises ValueError for a model that is not a patchbank_fit result, a different image shape, k larger than the bank, or a negative / non-finite smooth.

参考(サンプルデータ・文献)

• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• poc_patch_anomaly — py -3.11 examples/poc_patch_anomaly.py

型が繋がる次の op(table を入力に取れる)

msa_anova_table · msa_gauge_rr · msa_bias_linearity · msa_attribute_agreement · gum_standard_uncertainty · gum_propagate · gum_expanded · gum_monte_carlo

同カテゴリ(anomaly_patch)

patch_features · patchdist_fit · patchdist_score · patchbank_fit

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Provenance: anomaly_patch.py — SPC operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.

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