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Weighted Neighborhood Sequences in Non-Standard Three-Dimensional Grids -- Parameter Optimization
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.
2008 (English)In: In Proceedings, theoretical track, International Workshop on Combinatorial Image Analysis (IWCIA 2008), Buffalo, NY, USA, 2008, 2008, 51-62 p.Conference paper, Published paper (Refereed)
Abstract [en]

Recently, a distance function was defined on the face-centered cubic and body-centered cubic grids by combining weights and neighborhood sequences. These distances share many properties with traditional path-based distance functions, such as the city-block distance, but are less rotational dependent. We introduce four different error functions which are used to find the optimal weights and neighborhood sequences that can be used to define the distance functions with low rotational dependency.

Place, publisher, year, edition, pages
2008. 51-62 p.
Series
Lecture notes in computer science, ISSN 0302-9743 ; 4958
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-17786DOI: 10.1007/978-3-540-78275-9_5ISBN: 3-540-78274-5 (print)OAI: oai:DiVA.org:uu-17786DiVA: diva2:45557
Available from: 2008-08-29 Created: 2008-08-29 Last updated: 2010-08-10Bibliographically approved

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Publisher's full texthttp://dx.doi.org/10.1007/978-3-540-78275-9_5

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Strand, Robin

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