Wood Wisdom

Part of a larger micro CT image of a fibrous material

Estimated fibre orientation in a wood fibre based composite. The colours indicate the estimated orientation in each voxel neighbourhood.

Background

To extract information from microCT images of composite materials is a challenging problem because of very large data sets and artefacts in the images.

Reseach goals

• To gain further insight into the microstructure of composite materials.
• To develop methods for quantitative and qualitative information extraction from micro-CT images.

Cooperation partners

• Royal Institute of Technology (KTH), Stockholm, Sweden
• University of Jyväskylä, Jyväskylä, Finland
• Innventia (former STFI-PACKFORSK), Stockholm, Sweden
• SINTEF, Norway
• Paper and Fibre Reseach Institute (PFI), Norway
• Risø DTU, Denmark

People at Centre for Image Analysis

Erik Wernersson, Anders Brun, Cris Luengo, Catherine Östlund and Gunilla Borgefors.

Former project members: Maria Axelsson, Filip Malmberg, Mattias Aronsson, Mattias Moëll.

Doctoral and licenciate theses

• Image Analysis for Volumetric Characterisation of Microstructure
  Maria Axelsson, SLU. Acta Universitatis agriculturae Sueciae vol. 2009:19
  2009
• Segmentation and Analysis of Volume Images, with Applications
  Filip Malmberg
  2008
• On 3D Fibre Measurements of Digitized Paper -- from microscopy to fibre network
  Mattias Aronsson
  2002
• Digital Image Analysis for Wood Fibre Images
  Mattias Moëll
  2001

A selection of publications

• Erik L. G. Wernersson, Cris L. Luengo Hendriks and Anders Brun
  Accurate estimation of Gaussian and mean curvature in volumetric images
  in: International Conference on 3D Imaging, Modeling, Processing, Visualization, and Transmission, 3DIMPVT 2011 (Hangzhou, China, May 16-19), pp. 312-317, IEEE Publications, 2011.
• Erik L. G. Wernersson, Cris L. Luengo Hendriks and Anders Brun
  Generating synthetic micro-CT images of wood fibre materials
  in: 6th International Symposium on Image and
  Signal Processing and Analysis, 2009 September 16-18, 2009, Salzburg, Austria, IEEE Publications, 2009.
  Recipient of best paper award.
• Erik L.G Wernersson, Anders Brun and Cris L. Luengo Hendriks
  Segmentation of wood fibres in 3D CT images using graph cuts
  in: P. Foggia, C. Sansone and M. Vento (eds.), Image Analysis and Processing -- ICIAP 2009 (Proceedings of the 15th International Conference on Image Analysis and Processing, Vietri sul Mare, Italy, September 8-11), LNCS 5716, pp. 92-102, Springer, Berlin, 2009.
• Maria Axelsson, Stina Svensson
  3D pore structure characterisation of paper
  Accepted for publication in Pattern Analysis and Applications. 2009
• Maria Axelsson
  Estimating 3D Fibre Orientation in Volume Images
  In proceedings of 19th International Conference on Pattern Recognition (ICPR), 2008
• Filip Malmberg, J. Lindblad, C. Östlund, K.M. Almgren, and E. K. Gamstedt.
  An automated image analysis method for measuring fibre contact in fibrous and composite materials.
  In proc of. 13th European Conference on Composite Materials, June 2-5, 2008 Stockholm, Sweden, 2008.
• Gary Chinga-Carrasco, Maria Axelsson, Øyvind Eriksen, Stina Svensson
  Structural characteristics of pore networks affecting print-through
  Journal of Pulp and Paper Science, Vol 34(1), 2008
• Maria Axelsson
  3D Tracking of Cellulose Fibres in Volume Images
  In proceedings of 2007 IEEE International Conference on Image Processing, Volume 4, pg. IV-309, 2007
• Maria Axelsson, Catherine Östlund, Hannes Vomhoff, Stina Svensson
  Estimation of the pore volume at the interface between paper web and press felt
  Nordic Pulp and Paper Research Journal, Vol 21(3), 2006
• S. Svensson M. Axelsson and G. Borgefors.
  Reduction of ring artefacts in high resolution x-ray microtomography images.
  In K. Franke et al. (Eds.): DAGM 2006, LNCS 4174, pp. 61-70, 2006
• Ida-Maria Sintorn, Stina Svensson, and Maria Axelsson.
  Segmentation of individual pores in 3D paper images.
  Nordic Pulp and Paper Research Journal, 20, 2005.
• S. Svensson and M. Aronsson.
  Using distance transform based algorithms for extracting measures of the fibre network in volume images of paper.
  IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 33(4):562- 571, 2003.
• M. Aronsson.
  Estimation fibre twist and aspect ratios in 3D voxel volumes.
  Proc. of ICPR2002, pages 153-60, 2002.
• M. Aronsson and I.-M. Sintorn.
  Ring shaped object detector for non-isotropic 2D images using optimized distance transform weights.
  Proc. of ICIP2002, 2002.
• David Coeurjolly and Stina Svensson.
  Estimation of curvature along curves with application to fibres in 3D images of paper.
  Lecture Notes in Computer Science, (2749):247-254, 2002.
• Mattias Aronsson and Gunilla Borgefors.
  2D segmentation and labelling of clustered ring shaped objects.
  Proceedings of Scandinavian Conference on Image Analysis, pages 272-79, 2001.
• M. Aronsson, O. Henningsson, and Ö. Sävborg.
  Slice-based digial volume assembly of a small paper sample.
  Nordic Pulp and Paper Research Journal, 2001.