Design of Highly Parallel Edge Detection Nodes Using Evolutionary Techniques

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  title =        "Design of Highly Parallel Edge Detection Nodes Using
                 Evolutionary Techniques",
  author =       "Gordon S. Hollingworth and Steve L. Smith and 
                 Andy M. Tyrrell",
  booktitle =    "Proceedings of the Seventh Euromicro Workshop on
                 Parallel and Distributed Processing, PDP '99",
  year =         "1999",
  pages =        "35--42",
  address =      "Funchal",
  month =        "3-5 " # feb,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  citeseer-references = "oai:CiteSeerPSU:60383; oai:CiteSeerPSU:15766;
                 oai:CiteSeerPSU:92024; oai:CiteSeerPSU:39781",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:279876",
  rights =       "unrestricted",
  abstract =     "This paper considers the application of bio-inspired
                 systems in the design of a novel and highly parallel
                 image processing tool to detect edges within
                 conventional grey-scale images. The aim of the work is
                 to implement a new image processing architecture
                 through evolvable hardware that is able to adapt
                 according to the particular images encountered. The
                 simulation of such a system through the use of
                 evolutionary algorithms and genetic programming is
                 demonstrated for the conventional image processing
                 operation of edge detection. Results are presented for
                 this system and evaluated with respect to a
                 conventional Sobel edge detector",

Genetic Programming entries for Gordon S Hollingworth Stephen L Smith Andrew M Tyrrell