anomaly_patch opimage2d → tableimport fullseye as fs; fs.ledger.patch_features(image, patch=8, stride=4, scales=(1.0, 2.0, 4.0), groups=('gradient', 'gabor', 'lbp'), n_orient=4) (実装を直接呼ぶなら import anomaly_patch; anomaly_patch.patch_features(image, patch=8, stride=4, scales=(1.0, 2.0, 4.0), groups=('gradient', 'gabor', 'lbp'), n_orient=4)、台帳から引くなら opsspc.get("patch_features"))Classical patch features on a grid: one D-vector per patch (table).
image is (H, W) or (H, W, 3). Pixel channels are computed at every Gaussian scale in
scales (sigma, px) and averaged over patch x patch windows every stride px:
intensity (smoothed mean), gradient (Gaussian-derivative magnitude and the
doubled-angle components |g|cos2t, |g|sin2t: the structure tensor), gabor (zero-mean
Gabor energy, wavelength 4 sigma, n_orient orientations), lbp (histogram of the 10
rotation-invariant uniform local binary patterns, radius = round(sigma)), color
(red-green and yellow-blue opponents, needs a colour image). fourier is computed on the
raw patches, not per scale: the log share of a Hann-windowed patch’s spectrum in three
radial bands. Returns features (gh, gw, D), names (D), grid (gh, gw), dim
and the parameters.
Raises ValueError on an empty / non-finite / wrongly shaped image, an image smaller
than patch, unknown groups, or color on a gray image.
py -3.11 examples/poc_patch_anomaly.pytable 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
anomaly_patch)patchdist_fit · patchdist_score · 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.