1. 3D Tracking of Cellulose Fibres in Volume Images
- Author
-
Maria Axelsson
- Subjects
Materials science ,Radon transform ,Orientation (computer vision) ,business.industry ,Image segmentation ,Tracking (particle physics) ,chemistry.chemical_compound ,chemistry ,Point (geometry) ,Segmentation ,Computer vision ,Artificial intelligence ,Composite material ,Cellulose ,business ,Volume (compression) - Abstract
Segmentation of individual fibres in volume images is important when analysing the three dimensional (3D) fibre structure in paper and cellulose based composite materials. This paper presents a novel method for 3D tracking of individual fibres which can be used as a pre-segmentation step to a full cell wall segmentation or be used to estimate the fibre orientation. The tracking starts in one seed in each fibre and automatically extracts the local fibre orientation and the fibre centre point in each step using 3D information. Good results are obtained for cellulose fibres that are partially collapsed, cracked or irregularly shaped. The proposed method can also be used in other applications where tracking of tubular structures is of interest.
- Published
- 2007