Simulation of Evolvable Hardware to Solve Low Level Image Processing Tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{oai:CiteSeerPSU:280684,
  author =       "Gordon S. Hollingworth and Andy M. Tyrrell and 
                 Steve L. Smith",
  title =        "Simulation of Evolvable Hardware to Solve Low Level
                 Image Processing Tasks",
  booktitle =    "Evolutionary Image Analysis, Signal Processing and
                 Telecommunications: First European Workshop, EvoIASP'99
                 and EuroEcTel'99",
  year =         "1999",
  editor =       "Riccardo Poli and Hans-Michael Voigt and 
                 Stefano Cagnoni and Dave Corne and George D. Smith and 
                 Terence C. Fogarty",
  volume =       "1596",
  series =       "LNCS",
  pages =        "46--58",
  address =      "Goteborg, Sweden",
  publisher_address = "Berlin",
  month =        "28 " # may,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-65837-8",
  DOI =          "doi:10.1007/10704703_4",
  URL =          "http://citeseer.ist.psu.edu/cache/papers/cs/13853/http:zSzzSzwww.amp.york.ac.ukzSzexternalzSzmediazSzcalzSzbio-inspzSzpublicationszSzgsh-evoiasp99.pdf/hollingworth99simulation.pdf",
  URL =          "http://citeseer.ist.psu.edu/280684.html",
  citeseer-references = "\cite{oai:CiteSeerPSU:279876};
                 oai:CiteSeerPSU:212034; oai:CiteSeerPSU:60383;
                 oai:CiteSeerPSU:92024; oai:CiteSeerPSU:15766;
                 oai:CiteSeerPSU:39781",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:280684",
  rights =       "unrestricted",
  abstract =     "The long term goal of the work described in this paper
                 is the development of a bio-inspired system, employing
                 evolvable hardware, that adapts according to the needs
                 of the environment in which it is deployed. The
                 application described here is the design of a novel and
                 highly parallel image processing tool to detect edges
                 within a wide range of conventional grey-scale images.
                 We discuss the simulation of such a system based on a
                 genetic programming paradigm, using a simple binary
                 logic tree to implement the genetic string coding. The
                 results acquired from the simulation are compared with
                 those obtained from the application of a conventional
                 Sobel edge detector, and although rudimentary, show the
                 great potential of such bio-inspired systems.",
}

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

Citations