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Recognition of Two-Dimensional Shapes Based on Dependence Vectors

  • Krzysztof Gdawiec
  • Diana Domańska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7267)

Abstract

The aim of this paper is to present a new method of two-dimensional shape recognition. The method is based on dependence vectors which are fractal features extracted from the partitioned iterated function system. The dependence vectors show the dependency between range blocks used in the fractal compression. The effectiveness of our method is shown on four test databases. The first database was created by the authors and the other ones are: MPEG7 CE-Shape-1PartB, Kimia-99, Kimia-216. Obtained results have shown that the proposed method is better than the other fractal recognition methods of two-dimensional shapes.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Krzysztof Gdawiec
    • 1
  • Diana Domańska
    • 1
  1. 1.Institute of Computer ScienceUniversity of SilesiaPoland

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