tb_derivate_funct_1d — 2D typed op

• 資料種類:signal → signal

• 呼叫:fullseye.apply(img, "tb_derivate_funct_1d", a=0.5, b=0.5)(2-D 的模型是一張圖 + 兩個純量旋鈕 a,b∈[0,1])

用法

透過中心差分計算一階導數(HALCON `derivate_funct_1d`)。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

Units are y per sample (the x-grid is the index): for a physical signal

sampled every `dt seconds, divide the result by dt`. Interior points

use the second-order central difference; the two boundary points use one-sided

differences (`numpy.gradient`).

:param y: 1-D function, at least 2 samples (a derivative needs a neighbour).

:returns: float64 array of the same length.

:raises ValueError: non-1-D / NaN / Inf input, or fewer than 2 samples.

Typed bridge of the 1d op `derivate_funct_1d into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.

參考(範例資料・文獻)

• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。

• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• (尚無)

型別可銜接的下一個運算子(可接受 signal 作為輸入)

identity · tb_create_funct_1d_array · tb_smooth_funct_1d_gauss · tb_smooth_funct_1d_mean · tb_integrate_funct_1d · tb_zero_crossings_funct_1d · tb_abs_funct_1d · tb_negate_funct_1d

同類別(typed)

tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal

*Provenance: ops.py — 2D 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.