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The Euclidean Distance Transform Applied to the FCC and BCC Grids
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2005 (English)In: Pattern Recognition and Image Analysis, Proceedings of Second Iberian Conference, IbPRIA 2005: volume 1, 2005, 243-250 p.Conference paper, Published paper (Refereed)
Abstract [en]

The discrete Euclidean distance transform is applied to grids with non-cubic voxels, the face-centered cubic (fcc) and body-centered cubic (bcc) grids. These grids are three-dimensional generalizations of the hexagonal grid. Raster scanning and contour processing techniques are applied using different neighbourhoods. When computing the Euclidean distance transform, some voxel configurations produce errors. The maximum errors for the two different grids and neighbourhood sizes are analyzed and compared with the cubic grid.

Place, publisher, year, edition, pages
2005. 243-250 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-74232OAI: oai:DiVA.org:uu-74232DiVA: diva2:102142
Available from: 2005-09-12 Created: 2005-09-12

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Strand, Robin

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CiteExportLink to record
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Citation style
  • apa
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