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Segmentation of Highly Lignified Zones in Wood Fiber Cross-Sections

  • Bettina Selig
  • Cris L. Luengo Hendriks
  • Stig Bardage
  • Gunilla Borgefors
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5575)

Abstract

Lignification of wood fibers has important consequences to the paper production, but its exact effects are not well understood. To correlate exact levels of lignin in wood fibers to their mechanical properties, lignin autofluorescence is imaged in wood fiber cross-sections. Highly lignified areas can be detected and related to the area of the whole cell wall. Presently these measurements are performed manually, which is tedious and expensive. In this paper a method is proposed to estimate the degree of lignification automatically. A multi-stage snake-based segmentation is applied on each cell separately. To make a preliminary evaluation we used an image which contained 17 complete cell cross-sections. This image was segmented both automatically and manually by an expert. There was a highly significant correlation between the two methods, although a systematic difference indicates a disagreement in the definition of the edges between the expert and the algorithm.

Keywords

Cell Wall Active Contour Wood Fiber Middle Lamella Active Contour Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Bettina Selig
    • 1
  • Cris L. Luengo Hendriks
    • 1
  • Stig Bardage
    • 2
  • Gunilla Borgefors
    • 1
  1. 1.Centre for Image AnalysisSwedish University of Agricultural SciencesUppsalaSweden
  2. 2.Department of Forest ProductsSwedish University of Agricultural SciencesUppsalaSweden

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