Wernersson, Erik
- Centre for Image Analysis, Swedish University of Agricultural Sciences
Abstract
To completely segment all individual wood fibres in volume images of fibrous materials presents a challenging problem but is important in understanding the micro mechanical properties of composite materials. This paper presents a filter that identifies and closes pores in wood fibre walls, simplifying the shape of the fibres. After this filter, a novel segmentation method based on graph cuts identifies individual fibres. The methods are validated on a realistic synthetic fibre data set and then applied on μCT images of wood fibre composites
Keywords
microtomography (μCT); graph cuts; wood fibres; composite materials
Published in
Lecture Notes in Computer Science
2009, volume: 5716, pages: 92-102
Title: Image Analysis and Processing
Publisher: Springer Verlag
Conference
Image Analysis and Processing – ICIAP 2009
SLU Authors
Brun, Anders
- Centre for Image Analysis, Swedish University of Agricultural Sciences
- Centre for Image Analysis, Swedish University of Agricultural Sciences
Luengo, Cris
- Centre for Image Analysis, Swedish University of Agricultural Sciences
- Centre for Image Analysis, Swedish University of Agricultural Sciences
UKÄ Subject classification
Forest Science
Publication identifier
- DOI: https://doi.org/10.1007/978-3-642-04146-4_12
- ISBN: 978-3-642-04145-7
Permanent link to this page (URI)
https://res.slu.se/id/publ/27346