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Proceedings Paper

Optical coherence tomography evaluation of internal random structure of wood fiber tissue
Author(s): Erkki Alarousu; Igor P. Gurov; Jukka T. Hast; Risto A. Myllyl; Tuukka Prykauri; Alexey Zakharov
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Paper Abstract

Interferometers with a low-coherent illumination allow non-contact evaluating random tissues by locating the visibility maxima of interference fringes. The problem is the light scattering by a tissue, it is why interference fringes are often distorted. Other problem consists in the need to process large amount of data obtained in optical coherence tomography (OCT) imaging systems. We propose to use a stochastic fringe model and Kalman filtering method for noisy low-coherence fringe processing. A fringe signal value is predicted at a next discretization step using full information available before this step and a prediction error is used for dynamic correction of fringe envelope and phase. The advantages of Kalman filtering method consist in its noise-immunity, high-speed data processing and optimal evaluation of fringe parameters. Several specially fabricated wood fiber tissues have been measured with a low-coherence interferometer. The obtained data from the tissue internal structure are evaluated using a dynamic stochastic fringe processing algorithm applied to fringe signal samples series. The statistical approach for characterizing wood fiber tissues of different kinds is proposed.

Paper Details

Date Published: 1 May 2003
PDF: 12 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.514954
Show Author Affiliations
Erkki Alarousu, Univ. of Oulu (Finland)
Igor P. Gurov, St. Petersburg Institute of Fine Mechanics and Optics (Russia)
Jukka T. Hast, Univ. of Oulu (Finland)
Risto A. Myllyl, Univ. of Oulu (Finland)
Tuukka Prykauri, Univ. of Oulu (Finland)
Alexey Zakharov, St. Petersburg Institute of Fine Mechanics and Optics (Russia)

Published in SPIE Proceedings Vol. 5132:
Sixth International Conference on Quality Control by Artificial Vision
Kenneth W. Tobin; Fabrice Meriaudeau, Editor(s)

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