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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 46, Iss. 5 — Feb. 10, 2007
  • pp: 730–743

Two-dimensional phase unwrapping using a hybrid genetic algorithm

Salah A. Karout, Munther A. Gdeisat, David R. Burton, and Michael J. Lalor  »View Author Affiliations


Applied Optics, Vol. 46, Issue 5, pp. 730-743 (2007)
http://dx.doi.org/10.1364/AO.46.000730


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Abstract

A novel hybrid genetic algorithm (HGA) is proposed to solve the branch-cut phase unwrapping problem. It employs both local and global search methods. The local search is implemented by using the nearest-neighbor method, whereas the global search is performed by using the genetic algorithm. The branch-cut phase unwrapping problem [a nondeterministic polynomial (NP-hard) problem] is implemented in a similar way to the traveling-salesman problem, a very-well-known combinational optimization problem with profound research and applications. The performance of the proposed algorithm was tested on both simulated and real wrapped phase maps. The HGA is found to be robust and fast compared with three well-known branch-cut phase unwrapping algorithms.

© 2007 Optical Society of America

OCIS Codes
(100.2650) Image processing : Fringe analysis
(100.3020) Image processing : Image reconstruction-restoration
(100.5070) Image processing : Phase retrieval
(120.5050) Instrumentation, measurement, and metrology : Phase measurement

ToC Category:
Image Processing

History
Original Manuscript: May 30, 2006
Revised Manuscript: September 12, 2006
Manuscript Accepted: October 3, 2006
Published: January 25, 2007

Citation
Salah A. Karout, Munther A. Gdeisat, David R. Burton, and Michael J. Lalor, "Two-dimensional phase unwrapping using a hybrid genetic algorithm," Appl. Opt. 46, 730-743 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-5-730

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