Genetic Programming for Feature Detection and Image Segmentation

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Riccardo Poli",
  title =        "Genetic Programming for Feature Detection and Image
  booktitle =    "Evolutionary Computing",
  publisher =    "Springer-Verlag",
  year =         "1996",
  editor =       "Terence C. Fogarty",
  number =       "1143",
  series =       "Lecture Notes in Computer Science",
  pages =        "110--125",
  address =      "University of Sussex, UK",
  month =        "1-2 " # apr,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-61749-3",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1007/BFb0032777",
  size =         "16 pages",
  abstract =     "Genetic Programming is a method of program
                 discovery/optimisation consisting of a special kind of
                 genetic algorithm capable of operating on non-linear
                 chromosomes (parse trees) representing programs and an
                 interpreter which can run the programs being optimised.
                 In this paper we describe a set of terminals and
                 functions for the parse trees handled by genetic
                 programming which enable it to develop effective image
                 filters. These filters can either be used to highly
                 enhance and detect features of interest or to build
                 pixel-classification-based segmentation algorithms.
                 Some experiments with medical images which show the
                 efficacy of the approach are reported.",
  notes =        "The post-workshop proceedings of the 1996 AISB
                 workshop on evolutionary computing.",

Genetic Programming entries for Riccardo Poli