RT Journal Article
T1 Incremental PCA algorithm for fringe pattern demodulation
A1 Gómez Pedrero, José Antonio
A1 Estrada, Julio César
A1 Alonso Fernández, José
A1 Quiroga Mellado, Juan Antonio
A1 Vargas Balbuena, Javier
AB This work proposes a new algorithm for demodulating fringe patterns using principal component analysis (PCA). The algorithm is based on the incremental implantation of the singular value decomposition (SVD) technique for computing the principal values associated with a set of fringe patterns. Instead of processing an entire set of interferograms, the proposed algorithm proceeds in an incremental way, processing sequentially one (as minimum) interferogram at a given time. The advantages of this procedure are twofold. Firstly, it is not necessary to store the whole set of images in memory, and, secondly, by computing a phase quality parameter, it is possible to determine the minimum number of images necessary to accurately demodulate a given set of interferograms. The proposed algorithm has been tested for synthetic and experimental in ter ferograms showing a good performance. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
PB The Optical Society Of America
SN 1094-4087
YR 2022
FD 2022-04-11
LK https://hdl.handle.net/20.500.14352/71418
UL https://hdl.handle.net/20.500.14352/71418
LA eng
NO © 2022 Optica Publishing Group.Funding. Agencia Estatal de Investigación (PID2019-108850RA-I00).
NO Ministerio de Ciencia e Innovación (MICINN)
DS Docta Complutense
RD 15 abr 2025