volume op• 資料種類:voxel → sinostack
• 呼叫: import fullseye as fs; fs.ledger.radon_volume(volume, angles_deg=None, n_detectors=None, oversample=1)(要直接呼叫實作,import tomography; tomography.radon_volume(volume, angles_deg=None, n_detectors=None, oversample=1);從台帳取用則 opstomography.get("radon_volume"))
投影 (Z, H, W) 體的每一張切片 -> (Z, A, D) 堆疊。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
Parallel-beam geometry with the rotation axis along Z, which is the case where the 3-D problem really is a stack of independent 2-D ones — each slice projects into its own sinogram and nothing crosses between them. (A cone beam does not have this property and is not implemented; saying so is cheaper than a wrong FDK.)
The output's axis order is (slice, angle, detector) so that stack[k] is a sinogram in this module's own convention and every 2-D operator here applies to it unchanged.
:param volume: (Z, H, W) float volume, Z >= 1. :param angles_deg: view angles; None -> uniform [0, 180), 180 views. :param n_detectors: bins; None -> covers the in-plane diagonal. :param oversample: ray samples per pixel, 1 .. 8. :returns: (Z, n_angles, n_detectors) float64 stack. :raises ValueError: on a non-3-D input or a stack over
MAX_STACK_ELEMENTS.
• 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。
• 演算法的正典(作者、年份)與用途見上面的族使用指南。
• poc_battery_ct_degradation — py -3.11 examples/poc_battery_ct_degradation.py
• tomography_reconstruct — py -3.11 examples/tomography_reconstruct.py
sinostack 作為輸入)volume)*Provenance: tomography.py — TOMOGRAPHY 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.