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On 3D fibre measurements of digitized paper

from microscopy to fibre network

Aronsson, Mattias (2002). On 3D fibre measurements of digitized paper. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae. Silvestria, 1401-6230 ; 254
ISBN 91-576-6338-6
[Doctoral thesis]

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Paper is a material that suits many different purposes, and is therefore used extensively. To be able to optimize the manufacturing parameters during the production in a paper mill, it is of great importance to know as much as possible about the material. Paper exists in many different qualities, and different paper grades can have very different properties. There already exists many techniques to measure paper properties, but nearly all are based on computerized image analysis of two spatial dimensions, or not based on image analysis at all. Recently, the processing power of computers has reached a level which makes it possible to analyze huge data sets, by 3D computerized image analysis. Most grades of paper consists of fibres connected in a 3D network, together with fillers and surface coatings. We have focused on the 3D network of fibres, to provide techniques to look into, and perform calculations on this network. Advantages of using image analysis is that if we can transform samples of paper into an accurate digital format, a computer can then be programmed to analyze some of the properties not easily accessible by other means. Both mechanical strength and opacity depend on the geometry of the fibre network, so the digital model could be useful for further analysis of these properties. Disadvantages are that the conversion from physical to digital form will introduce artefacts and this conversion is often time-consuming. Our work has been to develop a method to construct 3D digital models of paper and to develop some useful measurements. The digital models consist of efficient representations that enable our measurements and also provide a good base for further development. The measurements consist of a detailed fibre analysis, a few fibre network measures, and experiments to measure the fibre pore network. Both 2D and 3D based fibre segmentation algorithms have been implemented. The image capturing process is crucial, but we still believe that the core problem is to improve the fibre segmentation. Especially, a good reconstruction of the network requires a high percentage of the fibres to be found, something that need further work to be accomplished. This thesis will emphasize the image analysis part of the problem, even if there are as much to be said about paper as a material.

Authors/Creators:Aronsson, Mattias
Title:On 3D fibre measurements of digitized paper
Subtitle:from microscopy to fibre network
Series Name/Journal:Acta Universitatis Agriculturae Sueciae. Silvestria
Year of publishing :May 2002
Number of Pages:72
ALLI. Comparison of two different approaches for paper volume assembly; Aronsson, M. and Fayyazi, A. Proc. of Symposium on Image Analysis (SSAB), pp 61-65, mars 2000, Halmstad, Sweden II. Minimizing scanning electron microscope artefacts by filter design; Aronsson, M., Sävborg, Ö., and Borgefors, G. Journal of Microscopy (JMS), Volume 206, Issue 1, pp 84-92, Apr 2002* III. 2D Segmentation and labelling of clustered ring shaped objects; Aronsson, M. and Borgefors, G. Proc. of Scandinavian Image Analysis conference (SCIA), 2001, Bergen, Norway. pp. 272-279 IV. Ring-shaped object detector for non-isotropic 2D images using optimized distance transform weights; Aronsson, M. and Sintorn, I.-M. Proc. of International Conference on Image Processing (ICIP), Rochester, USA. 2002, pp ?? V. Slice based digital volume assembly of a small paper sample; Aronsson, M., Henningsson, O., and Sävborg, Ö. Nordic Pulp and Paper Research Journal (NPPRJ), 2002, vol 17, no 1, pp ?? VI. Some measurements of fibres in volume images of paper using medial representations detected on the distance transform; Svensson, S. and Aronsson, M. Computer Vision and Pattern Recognition (CVPR), 2001, technical sketches on CDROM, Kauai Islands, Hawaii, USA. VII.** Using distance transform based algorithms for extracting measures of the fibre network in volume images of paper; Svensson, S. and Aronsson, M. IEEE System Man and Cybernetics, special issue on 3D, 2003, pp ?? VIII. Estimating fibre twist and aspect ratios in 3D voxel volumes; Aronsson, M. Proc. of International Conference on Pattern Recognition (ICPR), Quebuec, Canada 2002, pp ?? IX. 3D Pore distribution estimation in digitized paper samples; Aronsson, M. and Borgefors, G. (Manuscript) * Year of publication has been corrected to 2002 after the thesis was printed. ** Paper VII has been accepted after the thesis was printed.
Place of Publication:Uppsala
ISBN for printed version:91-576-6338-6
Publication Type:Doctoral thesis
Full Text Status:Public
Agris subject categories.:U Auxiliary disciplines > U30 Research methods
K Forestry > K50 Processing of forest products
Subjects:Not in use, please see Agris categories
Agrovoc terms:paper, fibres, wood, microscopy, image analysis, volume, computer applications, chemicophysical properties, porosity, methods
Keywords:volume images, image registration, filter design, fibre network, individual fibre segmentation, fibre properties estimation, visualization
Permanent URL:
ID Code:273
Department:(S) > Centrum för bildanalys (900701-031231?)
Deposited By: Mattias Aronsson
Deposited On:15 May 2003 00:00
Metadata Last Modified:02 Dec 2014 10:03

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