Adaptive carrier fringe pattern enhancement for wavelet transform profilometry through modifying intrinsic time-scale decomposition

Applied Optics
Hanxiao WangLinbing Wang

Abstract

The uneven background illumination and random noise will degrade the quality of the optical fringe pattern, resulting in reduced accuracy or errors in phase extraction of wavelet transform profilometry (WTP). An adaptive fringe pattern enhancement method is proposed in this paper, which can effectively solve the above problems and improve the robustness of WTP. First, a modified intrinsic time-scale decomposition (MITD) algorithm is used to decompose each row of the fringe pattern adaptively, which can obtain a set of reasonable and pure proper rotation components (PRCs) with a frequency ranging from high to low and a monotonic trend. The MITD algorithm can overcome the mode mixing problem while ensuring the completeness of decomposition. Then, based on the obtained pure PRCs, an innovative background-carrier signal-noise automatic grouping strategy is proposed. Specifically, weighted-permutation entropy (WPE) is adopted to handle noise removal, and fuzzy gray correlation analysis (FGCA) is used to separate the background and carrier signal. Finally, the desired phase information can be easily and accurately extracted from the enhanced carrier signal component by a direct wavelet ridge detection method. Both the simulation and ...Continue Reading

References

May 15, 2002·Physical Review Letters·Christoph Bandt, Bernd Pompe
May 8, 2004·Applied Optics·Qian Kemao
Oct 8, 2005·Optics Letters·Jingang Zhong, Jiawen Weng
Jul 20, 2006·Journal of the Royal Society, Interface·Jonathan S Smith
May 5, 2009·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Sikun LiLiqun Xiang
Mar 19, 2013·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Bilal FadlallahJosé Príncipe
Oct 17, 2014·Applied Optics·Chenxing Wang, Feipeng Da
Jul 25, 2018·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· BudiantoYuk-Hee Chan

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