Evolving edge detectors with genetic programming

  • Authors:
  • Christopher Harris;Bernard Buxton

  • Affiliations:
  • University College, London, United Kingdom;University College, London, United Kingdom

  • Venue:
  • GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
  • Year:
  • 1996

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Abstract

Edge detection is the process of detecting discontinuities in signals and images. We apply genetic programming techniques to the production of high-performance edge detectors for 1-D signals and image profiles. The method, which it is intended to extend to the development of practical edge detectors for use in image processing and machine vision, uses theoretical performance measures as criteria for the experimental design.