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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 44, Iss. 7 — Mar. 1, 2005
  • pp: 1129–1140

Agglomerative clustering-based approach for two-dimensional phase unwrapping

Miguel Arevalillo Herráez, Jesús G. Boticario, Michael J. Lalor, and David R. Burton  »View Author Affiliations


Applied Optics, Vol. 44, Issue 7, pp. 1129-1140 (2005)
http://dx.doi.org/10.1364/AO.44.001129


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Abstract

We describe a novel algorithm for two-dimensional phase unwrapping. The technique combines the principles of agglomerative clustering and use of heuristics to construct a discontinuous quality-guided path. Unlike other quality-guided algorithms, which establish the path at the start of the unwrapping process, our technique constructs the path as the unwrapping process evolves. This makes the technique less prone to error propagation, although it presents higher execution times than other existing algorithms. The algorithm reacts satisfactorily to random noise and breaks in the phase distribution. A variation of the algorithm is also presented that considerably reduces the execution time without affecting the results significantly.

© 2005 Optical Society of America

OCIS Codes
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(150.6910) Machine vision : Three-dimensional sensing

History
Original Manuscript: July 29, 2004
Revised Manuscript: October 28, 2004
Manuscript Accepted: November 4, 2004
Published: March 1, 2005

Citation
Miguel Arevalillo Herráez, Jesús G. Boticario, Michael J. Lalor, and David R. Burton, "Agglomerative clustering-based approach for two-dimensional phase unwrapping," Appl. Opt. 44, 1129-1140 (2005)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-44-7-1129


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