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NeuroHough: A Neural Network for Computing the Hough Transform

  • M. Köppen
  • A. Soria-Frisch
  • R. Vicente-García

Abstract

A new paradigm for the implementation of the Hough Transform (HT) is presented in this paper. The paradigm makes use of the neural networks’ properties as function approximators in order to avoid some problems of the standard HT implementation. Some encouraging results are presented.

Keywords

Parameter Space Image Space Hough Transform Geometrical Element Neural Architecture 
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 Wien 2001

Authors and Affiliations

  • M. Köppen
  • A. Soria-Frisch
  • R. Vicente-García
    • 1
  1. 1.Fraunhofer IPK, Dept. Pattern RecognitionBerlinGermany

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