Cartesian Genetic Programming for Image Processing Tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "H. A. Montes and J. L. Wyatt",
  title =        "Cartesian Genetic Programming for Image Processing
  booktitle =    "Proceedings of Neural Networks and Computational
                 Intelligence, NCI 2003",
  year =         "2003",
  editor =       "O. Castillo",
  address =      "Cancun, Mexico",
  month =        "19-21 " # may,
  publisher =    "IASTED",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, Image Processing, Object
  ISBN =         "0-88986-347-4",
  URL =          "",
  size =         "7 pages",
  abstract =     "This paper presents experimental results on image
                 analysis for a particular form of Genetic Programming
                 called Cartesian Genetic Programming (CGP) in which
                 programs use the structure of a graph represented as a
                 linear sequence of integers. The efficency of this
                 approach is investigated for the problem of Object
                 Localization in a given image. This task is usually
                 carried out by applying a series of well known image
                 processing operators and commonly relies on the skills
                 and expertise of the researchers. In this work, we
                 present results from a number of runs on actual camera
                 images, in which a set of fairly simple primitives were
  notes =        "",

Genetic Programming entries for Hector A Montes Jeremy L Wyatt