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The Euclidean Distance Transform Applied to the FCC and BCC Grids

  • Robin Strand
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3522)

Abstract

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.

Keywords

Euclidean Distance Grid Point Maximum Error Voronoi Diagram Maximum Relative Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Robin Strand
    • 1
  1. 1.Centre for Image AnalysisUppsala UniversityUppsalaSweden

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