Autores
Jiménez Vielma Julio Fernando
Sossa Azuela Juan Humberto
Título Fringe-Pattern Demodulation Using a Parametric Method Based on Differential Evolution
Tipo Congreso
Sub-tipo SCOPUS
Descripción Lecture Notes in Computer Science; Mexican Conference on Pattern Recognition 2010
Resumen 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.
Observaciones Advances in Pattern Recognition, MCPR 2010; (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 83510
Lugar Puebla
País Mexico
No. de páginas 61-70
Vol. / Cap. 6256
Inicio 2010-09-27
Fin 2010-09-29
ISBN/ISSN 978-3-642-15991-6