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Abstract

We introduce the polar distance transform and the grey weighted polar distance transform for computation of minimum cost paths preferring circular shape, as well as give algorithms for implementations in a digital setting. An alternative to the polar distance transform is to transform the image to polar coordinates, and then apply a Cartesian distance transform. By using the polar distance transform, re-sampling of the image and interpolation of new pixel values are avoided. We also handle the case of grey weighted distance transform in a $5\times 5$ neighbourhood, which, to our knowledge, is new. Initial results of using the grey weighted polar distance transform to outline annual rings in images of log end faces are presented

Conference

14th International Conference on Image Analysis and Processing: ICIAP 2007

SLU Authors

  • Norell, Kristin

    • Centre for Image Analysis, Swedish University of Agricultural Sciences
  • Lindblad, Joakim

    • Centre for Image Analysis, Swedish University of Agricultural Sciences
  • Svensson, Stina

    • Centre for Image Analysis, Swedish University of Agricultural Sciences

UKÄ Subject classification

Forest Science

Publication identifier

  • DOI: https://doi.org/10.1109/ICIAP.2007.74
  • ISBN: 0-7695-2877-5

Permanent link to this page (URI)

https://res.slu.se/id/publ/16628