tm_radon_forward — 2D tomography op

• 数据种类:image → image

• 调用:fullseye.apply(img, "tm_radon_forward", 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

> 该算子的说明尚无译文,以下照原文给出。

Forward Radon projection: treat `v` as a slice image and integrate it

along parallel rays to build a sinogram (rows = angles, cols = detector),

refit to the original HxW. `a` sets how many angles are acquired

(`n = round(H*a) clamped to 8..360 -- the sparse-view knob), b` sets the

angular span (`span = 180*min(1, 0.5+b)` deg: b < 0.5 is limited-angle CT,

b >= 0.5 -- including the default b = 0.5 -- is the full [0,180) span that

`tm_fbp_reconstruct / tm_sart_reconstruct / tm_backproject_unfiltered`

assume, so the natural chain forward -> inverse round-trips at default knobs).

Uses `skimage.transform.radon` when available, else the NumPy

rotate-and-sum Radon transform.

详细使用指南

• gallery2d_physics_alife_3d 族使用指南

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。

• 算法的正典(作者・年份)与用途见上面的族使用指南。

可运行的示例(实际调用该算子并已验证的样例)

• gallery2d_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py

类型可衔接的下一个算子(可接受 image 作为输入)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

同类别(tomography)

tm_fbp_reconstruct · tm_sart_reconstruct · tm_backproject_unfiltered · tm_sinogram_denoise

*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.