Filtering algorithm in 3D reconstruction of wheel tread based on moire profilometry

Ru-yu Ma; Jin-long Li; Kai-lang He; Xiao-rong Gao; Yu Zhang; Xing-zi Liu

doi:10.1117/12.2604681

1 November 2021 Filtering algorithm in 3D reconstruction of wheel tread based on moire profilometry

Ru-yu Ma, Jin-long Li, Kai-lang He, Xiao-rong Gao, Yu Zhang, Xing-zi Liu

Proceedings Volume 12057, Twelfth International Conference on Information Optics and Photonics; 1205716 (2021) https://doi.org/10.1117/12.2604681
Event: Twelfth International Conference on Information Optics and Photonics, 2021, Xi'an, China

Abstract

The train will inevitably be damaged in the long-term running process, and there is a big security risk, so it is very necessary to inspect the train regularly. The wheel is an important part of the train, and the wear and defects of the wheel tread are directly related to the safety of the train, so the wheel tread testing is the key link of the train testing. In this paper, a three-dimensional profile reconstruction method of wheel tread based on moire profilometry (MP) is proposed. The digital grating patterns generated by computer will be projected onto the surface of the wheel tread, and the moire fringe patterns of the wheel tread can be obtained by frequency domain filtering. By processing moire fringe patterns, the wrapped phase will be acquired. Finally, the reconstruction of wheel tread profile can be realized after phase unwrapping, which provides a new method for wheel tread testing. At the same time, in the frequency domain filtering part of moire profilometry, the effects of different filtering algorithms on the reconstruction results are compared and analyzed in simulations and experiments, which proves the validity and feasibility of the measurement method in this paper.

Citation Download Citation

Ru-yu Ma, Jin-long Li, Kai-lang He, Xiao-rong Gao, Yu Zhang, and Xing-zi Liu "Filtering algorithm in 3D reconstruction of wheel tread based on moire profilometry", Proc. SPIE 12057, Twelfth International Conference on Information Optics and Photonics, 1205716 (1 November 2021); https://doi.org/10.1117/12.2604681

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