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Dynamic Image Segmentation Method Using Hierarchical Clustering

  • Jorge Galbiati
  • Héctor Allende
  • Carlos Becerra
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856)

Abstract

In this paper we explore the use of the cluster analysis in segmentation problems, that is, identifying image points with an indication of the region or class they belong to. The proposed algorithm uses the well known agglomerative hierarchical cluster analysis algorithm in order to form clusters of pixels, but modified so as to cope with the high dimensionality of the problem. The results of different stages of the algorithm are saved, thus retaining a collection of segmented images ordered by degree of segmentation. This allows the user to view the whole collection and choose the one that suits him best for his particular application.

Keywords

Segmentation analysis growing region clustering methods 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jorge Galbiati
    • 1
  • Héctor Allende
    • 2
    • 3
  • Carlos Becerra
    • 4
  1. 1.Department of StatisticsPontificia Universidad Católica de ValparaísoChile
  2. 2.Department of InformaticsUniversidad Técnica Federico Santa MaríaChile
  3. 3.Science and Ingeneering FacultyUniversidad Adolfo IbáñezChile
  4. 4.Department of Computer ScienceUniversidad de ValparaísoChile

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