Optical discontinuous fringe metrology by using a genetic algorithm

F. J. Cuevas, N. Alcalá, L. E. Toledo, J. H. Sossa-Azuela

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

Abstract

We present the use of a Genetic Algorithm (GA) for optical fringe metrology application. In this case, the physical property being measured is coded in a fringe image or interferogram. In some applications, discontinuous fringe images are detected due to experimental conditions. Then, conventional metrology methods such as Fourier or phase tracker can not be applied when fringe data are lost. A GA is applied to fit a low degree polynomial to the physical measurement field coded in the fringe image. Results from a computer simulated fringe image and a real interferogram coming from a grazing incidence interferometer are presented. These images contain discontinuous fringe patterns and are successfully decoded.

Original languageEnglish
Title of host publicationProceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006
Pages293-296
Number of pages4
StatePublished - 2006
Event2nd IASTED International Conference on Computational Intelligence, CI 2006 - San Francisco, CA, United States
Duration: 20 Nov 200622 Nov 2006

Publication series

NameProceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006

Conference

Conference2nd IASTED International Conference on Computational Intelligence, CI 2006
Country/TerritoryUnited States
CitySan Francisco, CA
Period20/11/0622/11/06

Keywords

  • Fringe analysis
  • Genetic algorithms
  • Interferometry
  • Oblique incidence interferometer
  • Optical testing

Fingerprint

Dive into the research topics of 'Optical discontinuous fringe metrology by using a genetic algorithm'. Together they form a unique fingerprint.

Cite this