Phase retrieval of optical fringe pattern using wavelet ridge section and adaptive bandpass filter

被引:3
作者
Zou, Rong [1 ]
Cui, Shilin [2 ,3 ]
Tian, Fei [2 ]
Li, Qingguang [3 ]
Yao, Ming [4 ]
机构
[1] Jiangsu Univ, Sch Mech Engn, Zhenjiang 212013, Peoples R China
[2] NanYang Inst Sci & Technol, Sch Elect & Elect Engn, Nanyang 473004, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China
[4] Univ Texas Austin, Dept Biomed Engn, Austin, TX 78712 USA
基金
高等学校博士学科点专项科研基金;
关键词
wavelet ridge section; adaptive bandpass filter; phase retrieval; wavelet ridge profilometry; dyadic wavelet; fringe projection profilometry; FOURIER-TRANSFORM PROFILOMETRY; ZERO SPECTRUM; DEMODULATION; ELIMINATE;
D O I
10.1117/1.OE.55.9.093103
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
To improve the accuracy of fringe projection profilometry for a single deformed pattern, an instantaneous phase retrieval method is proposed using a wavelet ridge section and an adaptive bandpass filter based on dyadic wavelets. First, we present a concept and assumption named wavelet ridge section to depict the instantaneous phases of the deformed fringe signals, which are also degraded by noise, and then introduce a formula to calculate the width of the wavelet ridge section. Furthermore, an adaptive bandpass filter is designed for extracting the wavelet subsignals corresponding to the wavelet ridge sections to reconstruct the analytical signal. Finally, the instantaneous phase of the distorted fringe pattern is effectively retrieved. All parameters of our method are designed to be adaptive for different fringe patterns. Our experiments indicate that the proposed method is effective for measurements and outperforms other existing mainstream wavelet transform profilometry techniques, not only in accuracy but also in noise suppression performance. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
收藏
页数:7
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