fullseye

distance_funct_1d — ONED function op

• データ種: signal × signal → measurement
• 呼び出し: import fullseye as fs; fs.ledger.distance_funct_1d(y1, y2, mode='max') -> 'float' (実装を直接呼ぶなら import funct1d; funct1d.distance_funct_1d(y1, y2, mode='max') -> 'float'、台帳から引くなら ops1d.get("distance_funct_1d"))

使い方

Distance between two functions on the same grid (HALCON distance_funct_1d).

mode="max" is the Chebyshev / sup distance max |y1 - y2|; mode="mean" the mean absolute difference. Both are symmetric and zero iff the functions are identical.

:param y1: 1-D function, at least 1 sample. :param y2: 1-D function, same length as y1 (unequal lengths raise — pointwise distance is undefined across different grids; silent numpy broadcasting is explicitly rejected). :param mode: "max" or "mean" (anything else raises). :raises ValueError: non-1-D / NaN / Inf input, empty input, length mismatch, or unknown mode.

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)

• signal_funct1d — py -3.11 examples/signal_funct1d.py

型が繋がる次の op(measurement を入力に取れる)

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同カテゴリ(function)

create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · smooth_funct_1d_mean · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d

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Provenance: funct1d.py — ONED 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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