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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 captu...

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Principais autores: Xian Wang, Chaoyang Ju, Yufan Xuan, Ting Shi, Feiqi Yang, Yun Liu, Ke Kou, Yichao Zhao
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-07-01
Serier:Photonics
Fag:
phase unwrapping
Res-Unet
interferometry
gear measurement
Online adgang:https://www.mdpi.com/2304-6732/11/7/671
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