Three dimensional detection of rail shape based on self-adaptive filtering

Jinlong Li; Xiaorong Gao; Zeyong Wang; Quanke Zhao; Lin Luo

doi:10.1117/12.2068126

18 September 2014 Three dimensional detection of rail shape based on self-adaptive filtering

Jinlong Li, Xiaorong Gao, Zeyong Wang, Quanke Zhao, Lin Luo

Proceedings Volume 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 928211 (2014) https://doi.org/10.1117/12.2068126
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China

Abstract

In three dimensional detection of the rail shape by Fourier Transform profilometry (FTP), filtering is one of the key links before Fourier transform. The choice of filtering window decides the spectrum overlapping degree of deformed fringes, so as to decide the measurement precision of the rail shape. In this paper, based on wavelet ridge theory the size of the filter window is self-adaptive according to the frequency alternation of deformed fringes. And thus the optimum matching window size is decided, the frequency overlapping is furthest reduced and the measurement precision is improved. Simulation and experiments manifest that self-adaptive filtering can greatly enhance the precision in three dimensional detection, which offers a new thinking and method in rail shape recovery and defect detection.

Citation Download Citation

Jinlong Li, Xiaorong Gao, Zeyong Wang, Quanke Zhao, and Lin Luo "Three dimensional detection of rail shape based on self-adaptive filtering", Proc. SPIE 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 928211 (18 September 2014); https://doi.org/10.1117/12.2068126

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