Optical coherence tomography evaluation of internal random structure of wood fiber tissue

Erkki Alarousu*, Igor Gurov, Jukka Hast, Risto Myllylä, Tuukka Prykäri, Alexey Zakharov

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

Abstract

1Interferometers 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.

Original languageEnglish (US)
Pages (from-to)149-160
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5132
DOIs
StatePublished - 2003
Externally publishedYes
EventSixth International Conference on Quality Control by Artificial Vision - Gatlinburg, TN, United States
Duration: May 19 2003May 22 2003

Keywords

  • Light scattering
  • Stochastic filtering
  • Stochastic process
  • Wood fiber tissue

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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