Fringe-pattern demodulation using a parametric method based on differential evolution

J. F. Jimenez, F. J. Cuevas, J. H. Sossa, L. E. Gomez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A parametric method to carry out fringe pattern demodulation by means of Differential Evolution is presented. The phase is approximated by the parametric estimation of an nth-grade polynomial so that no further unwrapping is required. On the other hand, a different parametric function can be chosen according to the prior knowledge of the phase behavior. A differential evolution is codified with the parameters of the function that estimates the phase. The differential evolution evolves until a fitness average threshold is obtained. The method can demodulate noisy fringe patterns and even a one-image closed-fringe pattern successfully.

Original languageEnglish
Title of host publicationAdvances in Pattern Recognition - Second Mexican Conference on Pattern Recognition, MCPR 2010, Proceedings
Pages61-70
Number of pages10
DOIs
StatePublished - 2010
EventMexican Conference on Pattern Recognition 2010, MCPR 2010 - Puebla, Mexico
Duration: 27 Sep 201029 Sep 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6256 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceMexican Conference on Pattern Recognition 2010, MCPR 2010
Country/TerritoryMexico
CityPuebla
Period27/09/1029/09/10

Keywords

  • Differential Evolution
  • Fringe analysis
  • Optical metrology
  • Phase retrieval

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