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Binarization of Phase Contrast Volume Images of Fibrous Materials: A Case Study
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.
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, Centre for Image Analysis.
2009 (English)In: Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP 2009), INSTICC Press , 2009, 148-153 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a method for segmenting phase contrast volume images of fibrous materials into fibre and background. The method is based on graph cut segmentation, and is tested on high resolution X-ray microtomography volume images of wood fibres in paper an composites. The new method produces better results than a standard method based on edge-preserving smoothing and hysteresis thresholding. The most important improvement is that the proposed method handles thick and collapsed fibres more accurately than previous methods.

Place, publisher, year, edition, pages
INSTICC Press , 2009. 148-153 p.
Keyword [en]
X-ray microtomography, Graph cut segmentation, Phase Contrast, Fibrous materials
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-110100ISBN: 978-989-8111-69-2 (print)OAI: oai:DiVA.org:uu-110100DiVA: diva2:275208
Available from: 2009-11-04 Created: 2009-11-04 Last updated: 2010-03-01Bibliographically approved

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Malmberg, Filip

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