Segmentation of wood fibres in 3D CT images using graph cuts

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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. © 2009 Springer Berlin Heidelberg.

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Wernersson, E. L. G., Brun, A., & Luengo Hendriks, C. L. (2009). Segmentation of wood fibres in 3D CT images using graph cuts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5716 LNCS, pp. 92–102). https://doi.org/10.1007/978-3-642-04146-4_12

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