Simulation of Evolvable Hardware to Solve Low Level Image Processing Tasks

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@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