Cluster Analysis in Application to Quantitative Inspection of 3D Vascular Tree Images

  • Artur Klepaczko
  • Marek Kocinski
  • Andrzej Materka
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)


This paper provides — through the use of cluster analysis — objective confirmation of the relevance of texture description applied to vascular tree images. Moreover, it is shown that unsupervised selection of significant texture parameters in the datasets corresponding to noisy images becomes feasible if the search for relevant attributes is guided by the clustering stability–based optimization criterion.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Artur Klepaczko
    • 1
  • Marek Kocinski
    • 1
  • Andrzej Materka
    • 1
  1. 1.Technical University of LodzLodzPoland

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