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Proceedings Paper

Characterization of dynamic speckle sequences using principal component analysis and image descriptors
Author(s): José M. López-Alonso; Eduardo Grumel; Nelly L. Cap; Marcelo Trivi; Héctor Rabal; Javier Alda
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Paper Abstract

Speckle is being used as a characterization tool for the analysis of the dynamic of slow varying phenomena occurring in biological and industrial samples. The retrieved data takes the form of a sequence of speckle images. The analysis of these images should reveal the inner dynamic of the biological or physical process taking place in the sample. Very recently, it has been shown that principal component analysis is able to split the original data set in a collection of classes. These classes can be related with the dynamic of the observed phenomena. At the same time, statistical descriptors of biospeckle images have been used to retrieve information on the characteristics of the sample. These statistical descriptors can be calculated in almost real time and provide a fast monitoring of the sample. On the other hand, principal component analysis requires longer computation time but the results contain more information related with spatial-temporal pattern that can be identified with physical process. This contribution merges both descriptions and uses principal component analysis as a pre-processing tool to obtain a collection of filtered images where a simpler statistical descriptor can be calculated. The method has been applied to slow-varying biological and industrial processes

Paper Details

Date Published: 9 September 2015
PDF: 10 pages
Proc. SPIE 9598, Optics and Photonics for Information Processing IX, 95980Q (9 September 2015); doi: 10.1117/12.2187978
Show Author Affiliations
José M. López-Alonso, Univ. Complutense of Madrid (Spain)
Eduardo Grumel, Ctr. de Investigaciones Ópticas (Argentina)
Nelly L. Cap, Ctr. de Investigaciones Opticas (Argentina)
Marcelo Trivi, Ctr. de Investigaciones Ópticas (Argentina)
Héctor Rabal, Ctr. de Investigaciones Ópticas (Argentina)
Javier Alda, Univ. Complutense de Madrid (Spain)

Published in SPIE Proceedings Vol. 9598:
Optics and Photonics for Information Processing IX
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mohammad A. Matin; Mireya García Vázquez; Andrés Márquez, Editor(s)

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