Sammanfattning

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

Publicerad i

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

Konferens

16th Scandinavian Conference on Image Analysis

SLU författare

• Selig, Bettina

  • Centre for Image Analysis, Sveriges lantbruksuniversitet
    

• Luengo, Cris

  • Centre for Image Analysis, Sveriges lantbruksuniversitet
    

• Bardage, Stig

  • Institutionen för skogens produkter, Sveriges lantbruksuniversitet
    

• Borgefors, Gunilla

  • Centre for Image Analysis, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

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


Publikationens identifierare

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

Permanent länk till denna sida (URI)

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