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Distance transform computation for digital distance functions
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
2012 (English)In: Theoretical Computer Science, ISSN 0304-3975, E-ISSN 1879-2294, Vol. 448, 80-93 p.Article in journal (Refereed) Published
Abstract [en]

In image processing, the distance transform (DT), in which each object grid point is assigned the distance to the closest background grid point, is a powerful and often used tool. In this paper, distance functions defined as minimal cost-paths are used and a number of algorithms that can be used to compute the DT are presented. We give proofs of the correctness of the algorithms.

Place, publisher, year, edition, pages
2012. Vol. 448, 80-93 p.
Keyword [en]
Distance function, Distance transform, Weighted distances, Neighborhood sequences
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:uu:diva-180271DOI: 10.1016/j.tcs.2012.05.010ISI: 000306726700008OAI: oai:DiVA.org:uu-180271DiVA: diva2:549152
Available from: 2012-09-03 Created: 2012-09-03 Last updated: 2018-01-12Bibliographically approved

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Strand, Robin

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