Eliminating the zero spectrum in Fourier transform profilometry using empirical mode decomposition
JOSA A, Vol. 26, Issue 5, pp. 1195-1201 (2009)
http://dx.doi.org/10.1364/JOSAA.26.001195
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Abstract
Empirical mode decomposition is introduced into Fourier transform profilometry to extract the zero spectrum included in the deformed fringe pattern without the need for capturing two fringe patterns with π phase difference. The fringe pattern is subsequently demodulated using a standard Fourier transform profilometry algorithm. With this method, the deformed fringe pattern is adaptively decomposed into a finite number of intrinsic mode functions that vary from high frequency to low frequency by means of an algorithm referred to as a sifting process. Then the zero spectrum is separated from the high-frequency components effectively. Experiments validate the feasibility of this method.
© 2009 Optical Society of America
OCIS Codes
(070.4790) Fourier optics and signal processing : Spectrum analysis
(100.5070) Image processing : Phase retrieval
(070.2025) Fourier optics and signal processing : Discrete optical signal processing
(070.2615) Fourier optics and signal processing : Frequency filtering
ToC Category:
Fourier Optics and Signal Processing
History
Original Manuscript: November 12, 2008
Manuscript Accepted: March 16, 2009
Published: April 16, 2009
Citation
Sikun Li, Xianyu Su, Wenjing Chen, and Liqun Xiang, "Eliminating the zero spectrum in Fourier transform profilometry using empirical mode decomposition," J. Opt. Soc. Am. A 26, 1195-1201 (2009)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-26-5-1195
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