distance_funct_1d — ONED function op

• 資料種類:signal × signal → measurement

• 呼叫: import fullseye as fs; fs.ledger.distance_funct_1d(y1, y2, mode='max') -> 'float'(要直接呼叫實作,import funct1d; funct1d.distance_funct_1d(y1, y2, mode='max') -> 'float';從台帳取用則 ops1d.get("distance_funct_1d"))

用法

> 該運算子的說明尚無譯文,以下照原文給出。

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*.

參考(範例資料・文獻)

• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。

• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。

• 演算法的正典(作者・年份)與用途見上面的族使用指南。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• signal_funct1d — py -3.11 examples/signal_funct1d.py

型別可銜接的下一個運算子(可接受 measurement 作為輸入)

—

同類別(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

*Provenance: funct1d.py — ONED 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.