tb_cx_apply_transfer_function — 2D typed op

• 数据种类:cimage → cimage

• 调用:fullseye.apply(img, "tb_cx_apply_transfer_function", 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])

tb_cx_apply_transfer_function: input → output

*图为在 128×128 合成输入上实际运行的输出。左为输入,右为输出。点云以俯视散点显示(亮度 = z),一维序列为折线,体数据为沿 z 的最大值投影,视频为中间帧,复数图像为幅值;无法成像的返回值直接显示数值。*

扫描旋钮 a(0.1 / 0.5 / 0.9,另一旋钮取默认):

▸ tb_cx_apply_transfer_function: 旋钮 a 扫描 (文档网站)

*旋钮 b 不改变输出(实测: 0.1 / 0.5 / 0.9 相同)。*

阶段(前置算子 → 本算子,从左到右):

▸ tb_cx_apply_transfer_function: 处理阶段 (文档网站)

换别的图像(合成场景 / 照片 / 硬币。上排为输入,下排为对应输出。旋钮取默认):

▸ tb_cx_apply_transfer_function: 其他输入图像 (文档网站)

用法

将已中心化的频谱与滤波器 H 相乘 -> (H, W) complex128。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

The honest primitive under ops.lowpass / ops.highpass, but

complex-preserving: the filtered spectrum is returned as a complex field (not immediately inverted and real-cast), so it can be chained, inspected, or handed to cx_ifft. H is a same-shape transfer function laid out in the *centred* convention of cx_fft (DC at the centre); it may be real (a magnitude mask) or complex (a phase-shifting filter). A real cx is FFT'd first (module convenience).

Typed bridge of the 2d op cx_apply_transfer_function into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a sets the width of the transfer function H, which the bridge builds per call at the spectrum's own shape: a centred Gaussian low-pass H = exp(-r^2 / (2 sigma^2)) with sigma = 0.02 + 0.48 a cycles/pixel (0.26 at a=0.5). b is unused. (Until 2026-10-07 H was bound once as a fixed 32x32 array, so every other image size was refused.)

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。

在 Studio 中试试

下面的程序已确认可以运行(与图相同的输入)。在 Studio 帮助中,此块会变成按钮,可当场加载并运行。

img_to_cimage 0.50 0.50
tb_cx_apply_transfer_function 0.50 0.50

▸ 载入此流水线  ·  载入并运行

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 cimage 作为输入)

identity · tb_cx_ifft · tb_cx_magnitude · tb_cx_phase · tb_cx_real · tb_cx_imag · tb_cx_log_magnitude · tb_cplx_cr_residual

同类别(typed)

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


*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.