Share Email Print
cover

Proceedings Paper

Three dimensional detection of rail shape based on self-adaptive filtering
Author(s): Jinlong Li; Xiaorong Gao; Zeyong Wang; Quanke Zhao; Lin Luo
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 18 September 2014
PDF: 7 pages
Proc. SPIE 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 928211 (18 September 2014); doi: 10.1117/12.2068126
Show Author Affiliations
Jinlong Li, Southwest Jiaotong Univ. (China)
Xiaorong Gao, Southwest Jiaotong Univ. (China)
Zeyong Wang, Southwest Jiaotong Univ. (China)
Quanke Zhao, Southwest Jiaotong Univ. (China)
Lin Luo, Southwest Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 9282:
7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; Wei Gao, Editor(s)

© SPIE. Terms of Use
Back to Top