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Approximating Euclidean Distance Using Distances based on Neighbourhood Sequences in Non-Standard Three-Dimensional Grids.
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.
2006 (English)In: Proceedings Combinatorial Image Analysis: 11th International Workshop, IWCIA 2006, 2006, 89-100 p.Conference paper, Published paper (Refereed)
Abstract [en]

In image processing, it is often of great importance to have small rotational dependency for distance functions. We present an optimization for distances based on neighbourhood sequences for the face-centered cubic (fcc) and body-centered cubic (bcc) grids. In the optimization, several error functions are used measuring different geometrical properties of the balls obtained when using these distances.

Place, publisher, year, edition, pages
2006. 89-100 p.
Series
Lecture notes in computer science, ISSN 0302-9743 ; 4040
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-21842DOI: 10.1007/11774938_8ISBN: 978-3-540-35153-5 (print)OAI: oai:DiVA.org:uu-21842DiVA: diva2:49615
Available from: 2007-01-04 Created: 2007-01-04 Last updated: 2010-05-07Bibliographically approved

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Publisher's full texthttp://dx.doi.org/10.1007/11774938_8

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Strand, Robin

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