function op• 数据种类:signal → signal
• 调用: import fullseye as fs; fs.ledger.smooth_funct_1d_mean(y, size=3, iterations=1)(要直接调用实现,import funct1d; funct1d.smooth_funct_1d_mean(y, size=3, iterations=1);从台账取用则 ops1d.get("smooth_funct_1d_mean"))
> 该算子的说明尚无译文,以下照原文给出。
Iterated moving-average smoothing (HALCON `smooth_funct_1d_mean`).
Applies a length-*size* uniform (box) filter *iterations* times with
`nearest` (edge-replicating) boundary handling. Repeated box filtering
approaches a Gaussian (central limit theorem).
:param y: 1-D function, at least 1 sample.
:param size: window length in samples; truncated to int, must be >= 1.
Even sizes are accepted but shift the window origin by half a sample
(scipy's origin convention) — prefer odd sizes for a symmetric window.
:param iterations: number of passes; truncated to int, must be >= 0.
`iterations=0` returns the (float64-coerced) input unchanged.
:returns: smoothed float64 array, same length as *y*.
:raises ValueError: non-1-D / NaN / Inf input, empty input, `size < 1`,
or `iterations < 0`.
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• 算法的正典(作者・年份)与用途见上面的族使用指南。
• poc_weld_bead_profile — py -3.11 examples/poc_weld_bead_profile.py
• signal_funct1d — py -3.11 examples/signal_funct1d.py
signal 作为输入)create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d · abs_funct_1d
function)create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d · abs_funct_1d
*Provenance: funct1d.py — ONED 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.