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Image analysis for volumetric characterisation of microstructure

Axelsson, Maria (2009). Image analysis for volumetric characterisation of microstructure. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis agriculturae Sueciae, 1652-6880 ; 2009:19
ISBN 978-91-86195-66-3
[Doctoral thesis]



Digital image analysis provides methods for automatic, fast, and reproducible analysis of images. The main contribution of this thesis is new image analysis methods for volumetric characterisation of microstructure with application in the field of material science. The methods can be used as tools to characterise material microstructure, in particular the structure of fibre-based materials, such as paper, wood fibre composites, and press felts. More information about the material microstructure enables design of new materials with more specialised properties. Volume images have recently become available to characterise material microstructure. Manual inspection of material properties using volume images is both non-reproducible and expensive. The methods presented in this thesis are developed to meet the growing need for automated analysis. The focus has been on 3D methods for high-resolution volume images, such as X-ray microtomography images. New methods for characterisation of both the fibre structure and pore structure in fibre-based materials are presented. The fibre structure can be characterised by measuring either individual fibres or the local structure of the material. A method for tracking individual fibres in volume images is presented. The method is designed for wood fibres, but can also be applied to other types or fibres or in other areas where tubular or elongated structures are analysed in volume images. A method for estimating 3D fibre orientation of both tubular and solid fibres is also presented. Both methods have been evaluated on real volume images acquired using X-ray microtomography with good results. Two new pore structure representations and corresponding measurements are introduced. The usefulness of the methods is illustrated on real data. A method for estimating the pore volume at the interface between press felt and fibre web is presented. It has been applied in a case study of press felts under load using confocal microscopy images. In addition to the methods for fibre-based materials, a general method for reducing ring artifacts in X-ray microtomography images is presented. The method is evaluated on real data with good results. It is also applied as a preprocessing step before further analysis of the X-ray microtomography images.

Authors/Creators:Axelsson, Maria
Title:Image analysis for volumetric characterisation of microstructure
Year of publishing :2009
Number of Pages:77
ALLI Axelsson, M., Svensson, S., Borgefors, G. (2006). Reduction of Ring Artifacts in High Resolution X-Ray Microtomography Images. In K. Franke et al. (Eds.), Proc. of 28th Annual Symposium of the German Association for Pattern Recognition, Berlin, Germany, Lecture Notes in Computer Science 4174, Springer-Verlag, pp. 61–70. II Sintorn, I.-M., Svensson, S., Axelsson, M., Borgefors, G. (2005). Segmentation of individual pores in 3D paper images. Nordic Pulp and Paper Research Journal, 20(3):316–319. III Axelsson, M., Svensson, S. (2009). 3D pore structure characterisation of paper. Accepted for publication in Pattern Analysis and Applications. IV Axelsson, M., Östlund, C., Vomhoff, H., Svensson, S. (2006). Estimation of the pore volume at the interface between paper web and press felt. Nordic Pulp and Paper Research Journal, 21(3):395–402. V Axelsson, M. (2007). 3D Tracking of Cellulose Fibres in Volume Images. In Proc. of 14th International Conference on Image Processing, San Antonio, Texas, USA, pp. IV 309–312. VI Axelsson, M. (2008). Estimating 3D Fibre Orientation in Volume Images. In Proc. of 19th International Conference on Pattern Recognition, Tampa, Florida, USA. VII Axelsson,M. (2009). An evaluation of scale and noise sensitivity of fibre orientation estimation in volume images. Submitted for publication.
Place of Publication:Uppsala
ISBN for printed version:978-91-86195-66-3
Publication Type:Doctoral thesis
Full Text Status:Public
Agrovoc terms:image analysis, image processing, fibres, paper, wood, ultrastructure
Keywords:image analysis, volume images, 3D, microstructure, segmentation, orientation, material characterisation, fibre, pore structure, X-ray microtomography
Permanent URL:
ID Code:1944
Department:(S) > Centre for Image Analysis
Deposited By: Maria Axelsson
Deposited On:09 Mar 2009 00:00
Metadata Last Modified:02 Dec 2014 10:15

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