Adaptive analysis of optical fringe patterns using ensemble empirical mode decomposition algorithm

被引:47
|
作者
Zhou, Xiang [1 ]
Zhao, Hong [1 ]
Jiang, Tao [1 ]
机构
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Shaanxi, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
TRANSFORM PROFILOMETRY; WAVELET TRANSFORM; FOURIER-TRANSFORM; PHASE RETRIEVAL; INTERFEROMETRY;
D O I
10.1364/OL.34.002033
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
An approach based on a novel technique, called ensemble empirical mode decomposition, is proposed to adaptively reduce noise and remove background intensity from a two-dimensional fringe pattern. It can solve the mode-mixing problem of the original empirical mode decomposition caused by the existence of intermittent noise in fringe signals. Then a strategy is developed to automatically identify and group the resulting intrinsic mode functions for the purpose of eliminating noise and background of the fringe pattern. This approach is applied to process the simulated and practical fringe patterns, compared with Fourier transform and wavelet methods. (C) 2009 Optical Society of America
引用
收藏
页码:2033 / 2035
页数:3
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