Genetic Programming for Image Analysis

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Riccardo Poli",
  title =        "Genetic Programming for Image Analysis",
  institution =  "University of Birmingham, UK",
  year =         "1996",
  type =         "Technical Report",
  number =       "CSRP-96-1",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  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 image filtering problems. GP can be used
                 to discover efficient optimal filters which solve such
                 problems. However, in order to make the search feasible
                 and effective, terminal sets, function sets and fitness
                 functions have to meet some requirements. In the paper
                 these requirements are described and terminals,
                 functions and fitness functions that satisfy them are
                 proposed. Some preliminary experiments are also
                 reported in which GP (with the mentioned
                 characteristics) is applied to the segmentation of the
                 brain in magnetic resonance images (an extremely
                 difficult problem for which no simple solution is
                 known) and compared with artificial neural nets.",
  notes =        "

  size =         "10 pages",

Genetic Programming entries for Riccardo Poli