fullseye

patchdist_score — SPC anomaly_patch op

使い方

Score one image against a per-position normal distribution: the Mahalanobis distance per patch (table).

model comes from patchdist_fit; image must have the training images’ shape. The grid of distances sqrt((x - mu)' P (x - mu)) is interpolated (bilinear, between patch centres) to the image size and smoothed by a Gaussian of smooth px (0 = no smoothing). Returns map (H, W; higher = more anomalous), grid (the raw distances), image_score (the maximum of the smoothed map) and smooth.

Raises ValueError for a model that is not a patchdist_fit result, a different image shape, or a negative / non-finite smooth.

参考(サンプルデータ・文献)

実行できる例(この op を実際に呼ぶ検証済みサンプル)

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 · patchbank_fit · patchbank_score


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.