Characterization of dynamic speckle sequences using principal component analysis and image descriptors

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López Alonso, José Manuel and Grumel, Eduardo and Cap, Nelly Lucía and Trivi, Marcelo and Rabal, Héctor and Alda, Javier (2015) Characterization of dynamic speckle sequences using principal component analysis and image descriptors. In Optics and Photonics for Information Processing IX. Proceedings of SPIE (95980Q). SPIE. ISBN 978-162841764-7

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Official URL: http://0-dx.doi.org.cisne.sim.ucm.es/10.1117/12.2187978




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


Item Type:Book Section
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Copyright (2015) Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

9th Conference of Optics and Photonics for Information Processing; San Diego; United States; 10 August 2015 through 12 August 2015.

ISSN: 0277786X

Uncontrolled Keywords:dynamic speckle; Fujii; Generalized Dierences; LASCA; Principal components analysis
Subjects:Sciences > Physics > Optics
Medical sciences > Optics > Optoelectronics
Medical sciences > Optics > Lasers
ID Code:38723
Deposited On:02 Sep 2016 08:25
Last Modified:02 Sep 2016 08:25

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