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Video and Image Processing with Self-Organizing Neural Networks

  • José García-Rodríguez
  • Enrique Domínguez
  • Anastassia Angelopoulou
  • Alexandra Psarrou
  • Francisco José Mora-Gimeno
  • Sergio Orts
  • Juan Manuel García-Chamizo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6692)

Abstract

This paper aims to address the ability of self-organizing neural network models to manage video and image processing in real-time. The Growing Neural Gas networks (GNG) with its attributes of growth, flexibility, rapid adaptation, and excellent quality representation of the input space makes it a suitable model for real time applications. A number of applications are presented that includes: image compression, hand and medical image contours representation, surveillance systems, hand gesture recognition systems or 3D data reconstruction.

Keywords

Growing Neural Gas topology preservation real time objects representation parallelism 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • José García-Rodríguez
    • 1
  • Enrique Domínguez
    • 2
  • Anastassia Angelopoulou
    • 3
  • Alexandra Psarrou
    • 3
  • Francisco José Mora-Gimeno
    • 1
  • Sergio Orts
    • 1
  • Juan Manuel García-Chamizo
    • 1
  1. 1.Dept. of Computing TechnologyUniversity of AlicanteSpain
  2. 2.Dept. of Computer ScienceUniversity of MalagaSpain
  3. 3.Dept. of Computer Science & Software Engineering (CSSE)University of WestminsterCavendishUnited Kingdom

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