Video and image processing with self-organizing neural networks

  • Authors:
  • José García-Rodríguez;Enrique Domínguez;Anastassia Angelopoulou;Alexandra Psarrou;Francisco José Mora-Gimeno;Sergio Orts;Juan Manuel García-Chamizo

  • Affiliations:
  • Dept. of Computing Technology, University of Alicante, Spain;Dept. of Computer Science, University of Malaga, Spain;Dept. of Computer Science & Software Engineering, University of Westminster, United Kingdom;Dept. of Computer Science & Software Engineering, University of Westminster, United Kingdom;Dept. of Computing Technology, University of Alicante, Spain;Dept. of Computing Technology, University of Alicante, Spain;Dept. of Computing Technology, University of Alicante, Spain

  • Venue:
  • IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
  • Year:
  • 2011

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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.