Genetic Programming For Edge Detection: A Global Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  title =        "Genetic Programming For Edge Detection: A Global
  author =       "Wenlong Fu and Mark Johnston and Mengjie Zhang",
  pages =        "254--261",
  booktitle =    "Proceedings of the 2011 IEEE Congress on Evolutionary
  year =         "2011",
  editor =       "Alice E. Smith",
  month =        "5-8 " # jun,
  address =      "New Orleans, USA",
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2011.5949626",
  abstract =     "Edge detection is an important task in computer
                 vision. This paper describes a global approach to edge
                 detection using genetic programming (GP). Unlike most
                 traditional edge detection methods which use local
                 window filters, this approach directly uses an entire
                 image as input and classifies pixels directly as edges
                 or non-edges without preprocessing or postprocessing.
                 Shifting operations and common standard operators are
                 used to form the function set. Precision, recall and
                 true negative rate are used to construct the fitness
                 functions. This approach is examined and compared with
                 the Laplacian and Sobel edge detectors on three sets of
                 images providing edge detection problems of varying
                 difficulty. The results suggest that the detectors
                 evolved by GP outperform the Laplacian detector and
                 compete with the Sobel detector in most cases.",
  notes =        "CEC2011 sponsored by the IEEE Computational
                 Intelligence Society, and previously sponsored by the
                 EPS and the IET.",

Genetic Programming entries for Wenlong Fu Mark Johnston Mengjie Zhang