Optical discontinuous fringe metrology by using a genetic algorithm

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

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Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006
Páginas293-296
Número de páginas4
EstadoPublicada - 2006
Evento2nd IASTED International Conference on Computational Intelligence, CI 2006 - San Francisco, CA, Estados Unidos
Duración: 20 nov. 200622 nov. 2006

Serie de la publicación

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

Conferencia

Conferencia2nd IASTED International Conference on Computational Intelligence, CI 2006
País/TerritorioEstados Unidos
CiudadSan Francisco, CA
Período20/11/0622/11/06

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