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Fully Reversible Skeletonization for Volume Images Based on Anchor-Points from the D26 Distance Transform
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.
1999 (English)In: Proceedings of SCIA'99, Pattern Recognition Society of Denmark, Lyngby , 1999, 601-608 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a 3D (volume) surface skeletonization algorithm. Our algorithm uses iterative, topology preserving thinning guided by the D26 distance transform, which is the 3D equivalent of the chessboard distance transform. The algorithm produces s

Place, publisher, year, edition, pages
Pattern Recognition Society of Denmark, Lyngby , 1999. 601-608 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-34594ISBN: 87-88306-42-9 (print)OAI: oai:DiVA.org:uu-34594DiVA: diva2:62493
Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2016-01-08Bibliographically approved

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Nyström, Ingela

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