@inproceedings{bc3cfff8ba6042049bd5d8c5a12d6649,
title = "A parametric method applied to phase recovery from a fringe pattern based on a particle swarm optimization",
abstract = "A parametric method to carry out fringe pattern demodulation by means of a particle swarm optimization 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 particle swarm is codified with the parameters of the function that estimates the phase. A fitness function is established to evaluate the particles, which considers: (a) the closeness between the observed fringes and the recovered fringes, (b) the phase smoothness, (c) the prior knowledge of the object as its shape and size. The swarm of particles evolves until a fitness average threshold is obtained. The method was able to successfully demodulate noisy fringe patterns and even a one-image closed-fringe pattern.",
keywords = "Fringe analysis, Optical metrology, Particle Swarm Optimization, Phase retrieval",
author = "Jimenez, {J. F.} and Cuevas, {F. J.} and Sossa, {J. H.} and Gomez, {L. E.}",
year = "2010",
doi = "10.1007/978-3-642-13769-3_5",
language = "Ingl{\'e}s",
isbn = "3642137687",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "40--47",
booktitle = "Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings",
edition = "PART 1",
note = "5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010 ; Conference date: 23-06-2010 Through 25-06-2010",
}