Template localization using invariant moments

  • Authors:
  • Yulka Petkova;Nuri Nuri

  • Affiliations:
  • Technical University of Varna, Bulgaria;Technical University of Varna, Bulgaria

  • Venue:
  • Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
  • Year:
  • 2010

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Abstract

A variant for solving the task for template localization in a greater image, using invariant moments is presented in the paper. Template and image are represented by specially extracted sets of points. Mutual spatial location of both subsets gives opportunity parameters of image transformation to be approximately derived.