function op• データ種: signal × signal → signal
• 呼び出し: import fullseye as fs; fs.ledger.create_funct_1d_pairs(x, y) (実装を直接呼ぶなら import funct1d; funct1d.create_funct_1d_pairs(x, y)、台帳から引くなら ops1d.get("create_funct_1d_pairs"))
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.
• 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。
• poc_veiling_glare — py -3.11 examples/poc_veiling_glare.py
signal を入力に取れる)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 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.