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Estimating 3D Fibre Orientation in Volume Images
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2008 (English)In: Proceedings of the 19th International Conference on Pattern Recognition, IEEE, 2008Conference paper, Published paper (Refereed)
Abstract [en]

Fibre orientation is an important structural property of fibre-based materials. For example, in paper the orientation of the fibres influences the dimensional strength of the sheet and the tendency of the sheet to curl and twist at moisture changes. Here, we present a threedimensional image analysis method for estimating the fibre orientation and the orientation anisotropy. The proposed method can be applied directly to greyscale volume images and is based on local orientation estimates using quadrature filters and structure tensors. From the tensor field the fibre orientation can be estimated together with a corresponding certainty measurement. Good results are obtained for both synthetic fibre data sets and fibre based materials imaged using X-ray microtomography.

Place, publisher, year, edition, pages
IEEE, 2008.
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-87939OAI: oai:DiVA.org:uu-87939DiVA: diva2:133941
Available from: 2009-01-15 Created: 2009-01-15 Last updated: 2010-03-01Bibliographically approved

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