3D shape reconstruction of rail and surface defect detection based on PMP

Fan Duan; Jinlong Lee; Lin Luo; Xiaorong Gao

doi:10.1117/12.2245550

27 September 2016 3D shape reconstruction of rail and surface defect detection based on PMP

Fan Duan, Jinlong Lee, Lin Luo, Xiaorong Gao

Proceedings Volume 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment; 96840I (2016) https://doi.org/10.1117/12.2245550
Event: Eighth International Symposium on Advanced Optical Manufacturing and Testing Technology (AOMATT2016), 2016, Suzhou, China

Abstract

With the rapid development of high-speed and heavy-load in modern rail transit, the abrasion and surface defect of rail are getting serious, and the demand of measuring the rail shape and surface defect has been rising. Phase Measuring Profilometry (PMP), due to the good characters of non-contact, high precision, easy to control automatically etc., is often used for precise 3D shape reconstruction. In this paper, PMP technology and Stoilov phase shift algorithm are adopted, three deformed fringe patterns of rail are collected with fixed phase shift between them, and branch cut phase unwrapping algorithm is used, based on which the three-dimensional surface shape of the rail is reconstructed and the artificial surface flaws are restored and measured. This method provides a good reference for the precise online detection of the rail abrasion and surface defect.

Citation Download Citation

Fan Duan, Jinlong Lee, Lin Luo, and Xiaorong Gao "3D shape reconstruction of rail and surface defect detection based on PMP", Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 96840I (27 September 2016); https://doi.org/10.1117/12.2245550

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KEYWORDS

Phase shifts

Reconstruction algorithms

Fringe analysis

Defect detection

Automatic control

Calibration

3D acquisition

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