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.