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.