Digital distance functions on three-dimensional grids

  • Authors:
  • Robin Strand;Benedek Nagy;Gunilla Borgefors

  • Affiliations:
  • Centre for Image Analysis, Uppsala University, 75105 Uppsala, Sweden;Department of Computer Science, Faculty of Informatics, University of Debrecen, Hungary;Centre for Image Analysis, Swedish University of Agricultural Sciences, Sweden

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2011

Quantified Score

Hi-index 5.23

Visualization

Abstract

In this paper, we examine five different three-dimensional grids suited for image processing. Digital distance functions are defined on the cubic, face-centered cubic, body-centered cubic, honeycomb, and diamond grids. We give the parameters that minimize an error function that favors distance functions with low rotational dependency. We also give an algorithm for computing the distance transform-the tool by which these distance functions can be applied in image processing applications.