Two-dimensional phase unwrapping algorithms for fringe pattern analysis: a comparison study

Fang Yang; Zhaomin Wang; Yongfu Wen; Weijuan Qu

doi:10.1117/12.2081130

4 March 2015 Two-dimensional phase unwrapping algorithms for fringe pattern analysis: a comparison study

Fang Yang, Zhaomin Wang, Yongfu Wen, Weijuan Qu

Proceedings Volume 9302, International Conference on Experimental Mechanics 2014; 93023F (2015) https://doi.org/10.1117/12.2081130
Event: International Conference on Experimental Mechanics 2014, 2014, Singapore, Singapore

Abstract

Phase unwrapping is a process to reconstruct the absolute phase from a wrapped phase map whose range is (−π, π]. As the absolute phase cannot be directly extracted from the fringe pattern, phase unwrapping is therefore required by phasemeasure techniques. Currently, many phase unwrapping algorithms have been proposed. In this paper, four popular phase unwrapping algorithms, including the Goldstein’s branch cut method, the quality-guided method, the Phase Unwrapping via Max Flow (PUMA) method, and the phase estimation using adaptive regularization based on local smoothing method (PERALS), are reviewed and discussed. Detailed accuracy comparisons of these methods are provided as well.

Citation Download Citation

Fang Yang, Zhaomin Wang, Yongfu Wen, and Weijuan Qu "Two-dimensional phase unwrapping algorithms for fringe pattern analysis: a comparison study", Proc. SPIE 9302, International Conference on Experimental Mechanics 2014, 93023F (4 March 2015); https://doi.org/10.1117/12.2081130

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available