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On Integer Programming Approaches for Morphological Template Decomposition Problems in Computer Vision

Author

Listed:
  • P. Sussner

    (University of Florida)

  • P.M. Pardalos

    (University of Florida)

  • G.X. Ritter

    (University of Florida)

Abstract

In morphological image processing and analysis, a template or structuringelement is applied to an image. Often savings in computation time and abetter fit to the given computer architecture can be achieved by using thetechnique of template decomposition. Researchers have written a multitude ofpapers on finding such decompositions for special classes of templates.Justifying recent integer programming approaches to the morphologicaltemplate decomposition problem in its general form, this paper proves theNP-completeness of this problem.

Suggested Citation

  • P. Sussner & P.M. Pardalos & G.X. Ritter, 1997. "On Integer Programming Approaches for Morphological Template Decomposition Problems in Computer Vision," Journal of Combinatorial Optimization, Springer, vol. 1(2), pages 165-178, June.
    • Handle: RePEc:spr:jcomop:v:1:y:1997:i:2:d:10.1023_a:1009707932516
    DOI: 10.1023/A:1009707932516
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