Weighted distance transforms generalized to modules and their computation on point lattices

  • Authors:
  • Céline Fouard;Robin Strand;Gunilla Borgefors

  • Affiliations:
  • Centre for Image Analysis, Uppsala University, Box 337, SE-75105 Uppsala, Sweden;Centre for Image Analysis, Uppsala University, Box 337, SE-75105 Uppsala, Sweden;Centre for Image Analysis, Swedish University of Agricultural Sciences, Box 337, SE-75105 Uppsala, Sweden

  • Venue:
  • Pattern Recognition
  • Year:
  • 2007

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Abstract

This paper presents the generalization of weighted distances to modules and their computation through the chamfer algorithm on general point lattices. The first part is dedicated to formalization of definitions and properties (distance, metric, norm) of weighted distances on modules. It resumes tools found in literature to express the weighted distance of any point of a module and to compute optimal weights in the general case to get rotation invariant distances. The second part of this paper proves that, for any point lattice, the sequential two-scan chamfer algorithm produces correct distance maps. Finally, the definitions and computation of weighted distances are applied to the face-centered cubic (FCC) and body-centered cubic (BCC) grids.