Phase demodulation of single frame projection fringe pattern based on deep learning

Zeyu Song; Junpeng Xue; Zhichao Xu; Wenbo Lu

doi:10.1117/12.2667174

27 January 2023 Phase demodulation of single frame projection fringe pattern based on deep learning

Zeyu Song, Junpeng Xue, Zhichao Xu, Wenbo Lu

Proceedings Volume 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022); 125501H (2023) https://doi.org/10.1117/12.2667174
Event: International Conference on Optical and Photonic Engineering (icOPEN 2022), 2022, ONLINE, China

Abstract

Fringe projection structured-light 3D measurement technology is an important tool in 3D digital measurement and detection in intelligent manufacturing. However, the contradiction still exists between the measurement accuracy and the measurement speed. It has great significance to introduce the U-Net network to predict wrapped phase by only using single amplitude-modulation fringe pattern. The influence of the U-Net network structure on the fringe pattern feature extraction is analyzed in detail and the structure and hyper-parameters of the classical U-Net network are improved for the phase demodulation task. It is concluded that the multi-scale symmetric structure design can provide a solution for preserving the phase information of edges and jump regions. To verify the effectiveness of the proposed method, the trained U-Net model and traditional methods are both employed to process the same fringe pattern in the contrast experiment. Then the advantages of the deep learning method, multi-step phase-shifting method and the Fast Fourier transform method (FFT) are compared. The results show that the phase demodulation accuracy of the proposed method still reached the accuracy obtained by more than three fringe patterns when the available information was only one fringe image. This method can replace the traditional FFT method in dynamic measurement applications and retain the accuracy of static measurement.

Citation Download Citation

Zeyu Song, Junpeng Xue, Zhichao Xu, and Wenbo Lu "Phase demodulation of single frame projection fringe pattern based on deep learning", Proc. SPIE 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022), 125501H (27 January 2023); https://doi.org/10.1117/12.2667174

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KEYWORDS

Fringe analysis

Deep learning

Demodulation

3D metrology

Phase shifts

Neural networks

Convolution

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