Genetic Programming for Image Analysis

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Riccardo Poli",
  title =        "Genetic Programming for Image Analysis",
  booktitle =    "Genetic Programming 1996: Proceedings of the First
                 Annual Conference",
  editor =       "John R. Koza and David E. Goldberg and 
                 David B. Fogel and Rick L. Riolo",
  year =         "1996",
  month =        "28--31 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  pages =        "363--368",
  address =      "Stanford University, CA, USA",
  publisher =    "MIT Press",
  URL =          "",
  URL =          "",
  size =         "6 pages",
  abstract =     "This paper describes an approach to using GP for image
                 analysis based on the idea that image enhancement,
                 feature detection and image segmentation can be
                 re-framed as filtering problems. GP can discover
                 efficient optimal filters which solve such problems but
                 in order to make the search feasible and effective,
                 terminal sets, function sets and fitness functions have
                 to meet some requirements. We describe these
                 requirements and we propose terminals, functions and
                 fitness functions that satisfy them. Experiments are
                 reported in which GP is applied to the segmentation of
                 the brain in medical images and is compared with
                 artificial neural nets.",
  URL =          "",
  URL =          "",
  notes =        "GP-96",

Genetic Programming entries for Riccardo Poli