tb_derivate_funct_1d — 2D typed op

• 数据种类:signal → signal

• 调用:fullseye.apply(img, "tb_derivate_funct_1d", a=0.5, b=0.5)(2-D 的模型是一张图 + 两个标量旋钮 a,b∈[0,1])

用法

通过中心差分计算一阶导数(HALCON `derivate_funct_1d`)。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

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.

参考(示例数据・文献)

• 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。

可运行的示例(实际调用该算子并已验证的样例)

• (暂无)

类型可衔接的下一个算子(可接受 signal 作为输入)

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

同类别(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 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.