用于干涉齿轮齿面测量相位解缠的改进型 Res-UNet 网络

IF 2.1 4区 物理与天体物理 Q2 OPTICS
Xian Wang, Chaoyang Ju, Yufan Xuan, Ting Shi, Feiqi Yang, Yun Liu, Ke Kou, Yichao Zhao
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引用次数: 0

摘要

本文介绍了一种改进的深度学习网络--GRU-Net,旨在促进对齿轮齿面干涉测量中的包裹相位测量进行直接、精确的相位解包裹。GRU-Net 在每个下采样过程中都包含一个格拉姆矩阵,用于计算样式损失,从而捕捉到基本的条纹结构信息特征。该网络在处理更大、更复杂的齿轮齿面干涉图方面表现出更强的能力,尤其是在涉及明显噪声和混叠的情况下,同时仍能产生良好的结果。对 GRU-Net 与 Res-UNet 网络和其他传统方法进行了对比评估。结果表明,GRU-Net 在解包精度、抗噪能力和抗混叠能力方面都超过了其他方法,精度至少提高了 24%,表现出明显的优越性。此外,与 Res-UNet 网络相比,GRU-Net 的学习速度更快,生成的模型更紧凑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Res-UNet Network for Phase Unwrapping of Interferometric Gear Tooth Flank Measurements
This article introduces an improved deep learning network, GRU-Net, designed to facilitate direct and precise phase unwrapping of wrapped phase measurements in gear tooth surface interferometry. GRU-Net incorporates a Gram matrix within each down-sampling process to compute style loss, thereby capturing essential stripe structure information features. This network exhibits enhanced capability in handling larger and more intricate gear tooth interferograms, particularly in scenarios involving pronounced noise and aliasing, while still yielding favorable outcomes. A comparative evaluation was conducted, contrasting GRU-Net with the Res-UNet network and other conventional methods. The results demonstrate that GRU-Net surpasses the alternative approaches in terms of unwrapping accuracy, noise resilience, and anti-aliasing capabilities, with accuracy improved by at least 24%, exhibiting significantly superior performance. Additionally, in contrast to the Res-UNet network, GRU-Net demonstrates accelerated learning speed and generates more compact models.
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来源期刊
Photonics
Photonics Physics and Astronomy-Instrumentation
CiteScore
2.60
自引率
20.80%
发文量
817
审稿时长
8 weeks
期刊介绍: Photonics (ISSN 2304-6732) aims at a fast turn around time for peer-reviewing manuscripts and producing accepted articles. The online-only and open access nature of the journal will allow for a speedy and wide circulation of your research as well as review articles. We aim at establishing Photonics as a leading venue for publishing high impact fundamental research but also applications of optics and photonics. The journal particularly welcomes both theoretical (simulation) and experimental research. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.
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