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

Published in

Lecture Notes in Computer Science
2009, Volume: 5575, pages: 369-378 Title: Image Analysis: 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009. Proceedings
ISBN: 978-3-642-02229-6
Publisher: Springer Berlin Heidelberg

Conference

16th Scandinavian Conference on Image Analysis

SLU Authors

• Selig, Bettina

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

• Luengo, Cris

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

• Bardage, Stig

  • Department of Forest Products, Swedish University of Agricultural Sciences
    

• Borgefors, Gunilla

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Computer Vision and Robotics (Autonomous Systems)
Forest Science
Wood Science


Publication identifier

DOI: https://doi.org/10.1007/978-3-642-02230-2_38

Permanent link to this page (URI)

https://res.slu.se/id/publ/39999