tb_stat_correlation — 2D typed op

• データ種: matrix → matrix

• 呼び出し: fullseye.apply(img, "tb_stat_correlation", 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)

使い方

`(N, D) の観測データに対するピアソン相関行列 → (D, D)`。

> 以下の詳細説明は原文のままです —— 要約と見出しは訳出済み。

Same orientation as :func:stat_covariance (rows = observations).

Entries are clipped to `[-1, 1]` (floating-point can overshoot by an

ulp), the diagonal is exactly `1` and the matrix exactly symmetric by

construction.

**A constant column raises `ValueError`** (naming the column) instead of

yielding NaN: correlation with a zero-variance variable is mathematically

undefined (0/0), and a NaN that surfaces three ops downstream is the

classic zero-division bug family this module fails closed against. Drop or

perturb the constant column deliberately if that is what you mean.

HALCON: no public tuple operator (see :func:stat_covariance).

Typed bridge of the math op `stat_correlation 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.

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。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• (まだありません)

型が繋がる次の op(matrix を入力に取れる)

identity · tb_mat_pinv · tb_mat_cond · tb_stat_covariance

同カテゴリ(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.