Weighted distance transforms for volume images digitized in elongated voxel grids

  • Authors:
  • Ida-Maria Sintorn;Gunilla Borgefors

  • Affiliations:
  • Centre for Image Analysis, Swedish University of Agricultural Sciences, Lägerhyddvägen 17, SE-752 37 Uppsala, Sweden;Centre for Image Analysis, Swedish University of Agricultural Sciences, Lägerhyddvägen 17, SE-752 37 Uppsala, Sweden

  • Venue:
  • Pattern Recognition Letters - Special issue: Discrete geometry for computer imagery (DGCI'2002)
  • Year:
  • 2004

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Abstract

Weighted distance transforms in volume (3D) images using a voxel grid with equal resolution along two axes and lower along the third are investigated. The weights (neighbour distances) in a local neighbourhood of size 3 × 3 × 3 are optimized by minimizing the maximum error in a cubic image.