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Contour Co-occurrence Matrix – A Novel Statistical Shape Descriptor

  • Rami Rautkorpi
  • Jukka Iivarinen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

In this paper a novel statistical shape feature called the Contour Co-occurrence Matrix (CCM) is proposed for image classification and retrieval. The CCM indicates the joint probability of contour directions in a chain code representation of an object’s contour. Comparisons are conducted between different versions of the CCM and several other shape descriptors from e.g. the MPEG-7 standard. Experiments are run with two defect image databases. The results show that the CCM can efficiently represent and classify the difficult, irregular shapes that different defects possess.

Keywords

Shape Descriptor Chain Code Paper Database Edge Histogram Cluster Prominence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Rami Rautkorpi
    • 1
  • Jukka Iivarinen
    • 1
  1. 1.Laboratory of Computer and Information ScienceHelsinki University of Technology, HUTFinland

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