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Sparse Object Representations by Digital Distance Functions
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
2011 (English)In: Proceedings, International Conference on Discrete Geometry for Computer Imagery (DGCI 2011) / [ed] Debled-Rennesson, Isabelle and Domenjoud, Eric and Kerautret, Bertrand and Even, Philippe, Berlin Heidelberg: Springer , 2011, 211-222 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, some methods for representing objects usingpath-based distances are considered. The representations can be usedas anchor points when extracting medial representations of the objects.The distance transform (DT) is obtained by labeling each object elementwith the distance to the background. By local operations on the DT,different sets of anchor points can be obtained. We present two differentmethods based on local operations and prove that the representations arereversible, when this is the case. The methods are defined for weighteddistances based on neighborhood sequences, which includes for examplethe well known cityblock and chessboard distances.

Place, publisher, year, edition, pages
Berlin Heidelberg: Springer , 2011. 211-222 p.
Series
Lecture Notes in Computer Science, 6607
National Category
Other Mathematics Computer Science
Research subject
Computerized Image Analysis; Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-162218DOI: 10.1007/978-3-642-19867-0_18ISBN: 978-3-642-19866-3 (print)OAI: oai:DiVA.org:uu-162218DiVA: diva2:459691
Conference
International Conference on Discrete Geometry for Computer Imagery (DGCI 2011), Nancy, France, 2011
Available from: 2011-11-28 Created: 2011-11-28 Last updated: 2011-11-28

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Publisher's full texthttp://dx.doi.org/10.1007/978-3-642-19867-0_18

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Strand, Robin

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