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Enhanced two-frequency phase-shifting method based on generalized phase-shifting algorithm
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Indexed by:期刊论文

Date of Publication:2017-09-08

Journal:JOURNAL OF MODERN OPTICS

Included Journals:SCIE、EI、Scopus

Volume:64

Issue:16

Page Number:1614-1625

ISSN No.:0950-0340

Key Words:Two-frequency phase-shifting algorithm; phase measuring profilometry; fringe projection; least-square algorithm; phase error

Abstract:In this paper, we develop a novel dual-frequency pattern which not only releases the restriction of conventional two-frequency phase-shifting algorithm that at least six fringe patterns are needed, but reduces the noise impact by decreasing the frequency ratio between the high- and low-components. To decrease the number of necessary patterns to five, a novel composite dual-frequency pattern scheme combining together a high- with a low-frequency pattern is employed. To make the algorithm less sensitivity to noise, the low-frequency component is with more than one period fringes, which is relatively prone to recover the continuous result by simple spatial phase unwrapping approach. Besides, the restriction of special phase shifts between two-frequency components in conventional methods is released by the generalized phase-shifting algorithm. Simulations and experiments are conducted to demonstrate that in addition to maintaining the minimum number of patterns, the proposed method reveals higher accuracy of phase retrieval.

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Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Male

Alma Mater:Dalian University of Technology (DUT)

Degree:Doctoral Degree

School/Department:State Key Laboratory of Industrial Equipment for Structral Analysis, Department of Engineering Mechanics

Discipline:Solid Mechanics. Applied and Experimental Mechanics. Engineering Mechanics. Mechanical Manufacture and Automation. Vehicle Engineering. Aerospace Mechanics and Engineering. mechanics of manufacturing process

Business Address:Room 321, Department of Engineering Mechanics

Contact Information:Tel.: 86 0411-84708406 Email: leizk@dlut.edu.cn

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