typed op• データ種: signal → signal
• 呼び出し: fullseye.apply(img, "tb_stat_zscore", a=0.5, b=0.5) (2-D は 1 画像 + 2 スカラつまみ a,b∈[0,1] のモデル)
Standardise a 1-D sample: `(x - mean) / std (population ddof=0`).
The result has mean 0 and standard deviation 1 — the common currency for
comparing residuals across scales and flagging outliers (`|z| > 3`).
**A constant input raises `ValueError`** — the decision, stated: with
zero variance the z-score is 0/0. Returning silent zeros would claim "every
point is perfectly average", which is *a* convention but hides upstream
breakage (a sensor stuck at one value would sail through an outlier gate).
Fail-closed instead; a caller who wants the all-zeros convention can catch
this and substitute deliberately.
HALCON: no direct tuple operator (compose `tuple_mean` +
`tuple_deviation` + arithmetic).
Typed bridge of the math op `stat_zscore into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.
• 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。
• (まだありません)
signal を入力に取れる)identity · tb_create_funct_1d_array · tb_smooth_funct_1d_gauss · tb_smooth_funct_1d_mean · tb_derivate_funct_1d · tb_integrate_funct_1d · tb_zero_crossings_funct_1d · tb_abs_funct_1d
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal
*Provenance: ops.py — 2D 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.