function op• 数据种类:signal × signal → signal
• 调用: import fullseye as fs; fs.ledger.create_funct_1d_pairs(x, y)(要直接调用实现,import funct1d; funct1d.create_funct_1d_pairs(x, y);从台账取用则 ops1d.get("create_funct_1d_pairs"))
> 该算子的说明尚无译文,以下照原文给出。
A 1-D function from arbitrary `(x, y)` pairs, resampled to an
equidistant grid (HALCON `create_funct_1d_pairs`).
The pairs are sorted by x and linearly interpolated onto the integer
grid `floor(min(x)) .. ceil(max(x))` (step 1). Grid points outside the
convex hull of the data (only the two end points can be) hold the nearest
sample's value — `numpy.interp` end-hold, no extrapolation. Duplicate x
values keep numpy's interp behaviour (the segment between duplicates is a
step). Note the returned function's index 0 corresponds to physical
`x = floor(min(x))`, not necessarily 0.
:param x: 1-D abscissa values, at least 1 pair, finite.
:param y: 1-D ordinate values, same length as *x*, finite.
:returns: float64 array on the integer grid.
:raises ValueError: non-1-D / NaN / Inf input, empty input, or length mismatch.
• 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_veiling_glare — py -3.11 examples/poc_veiling_glare.py
signal 作为输入)create_funct_1d_array · smooth_funct_1d_gauss · smooth_funct_1d_mean · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d · abs_funct_1d
function)create_funct_1d_array · smooth_funct_1d_gauss · smooth_funct_1d_mean · 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.