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Parallel Skeletonizing of Digital Images by Using Cellular Automata

  • Francisco Peña-Cantillana
  • Ainhoa Berciano
  • Daniel Díaz-Pernil
  • Miguel A. Gutiérrez-Naranjo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7309)

Abstract

Recent developments of computer architectures together with alternative formal descriptions provide new challenges in the study of digital Images. In this paper we present a new implementation of the Guo & Hall algorithm [8] for skeletonizing images based on Cellular Automata. The implementation is performed in a real-time parallel way by using the GPU architecture. We show also some experiments of skeletonizing traffic signals which illustrates its possible use in real life problems.

Keywords

Cellular Automaton Cellular Automaton Parallel Implementation Medial Axis Natural Computing 
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 2012

Authors and Affiliations

  • Francisco Peña-Cantillana
    • 1
  • Ainhoa Berciano
    • 2
    • 3
  • Daniel Díaz-Pernil
    • 3
  • Miguel A. Gutiérrez-Naranjo
    • 1
  1. 1.Research Group on Natural Computing, Department of Computer Science and Artificial IntelligenceUniversity of SevilleSpain
  2. 2.Departamento de Didáctica de la Matemática y de las Ciencias ExperimentalesUniversity of the Basque CountrySpain
  3. 3.Research Group on Computational Topology and Applied Mathematics, Department of Applied MathematicsUniversity of SevilleSpain

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