Segmentation of Wood Fibres in 3D CT Images Using Graph Cuts

Authors:
Erik L. Wernersson;Anders Brun;Cris L. Luengo Hendriks
Affiliations:
Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala, Sweden SE-751 05;Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala, Sweden SE-751 05;Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala, Sweden SE-751 05
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

Citing 7
Cited 0

Computing distance transformations in convex and non-convex domains

Pattern Recognition
SUSAN—A New Approach to Low Level Image Processing

International Journal of Computer Vision
An image synthesizer

SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision

IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Maximally Stable Extremal Region (MSER) Tracking

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Image Processing, Analysis, and Machine Vision

Image Processing, Analysis, and Machine Vision
Algorithm for computer control of a digital plotter

IBM Systems Journal

Quantified Score

Hi-index	0.00

Visualization

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 μ CT images of wood fibre composites.