Design of highly parallel edge detection nodes using evolutionary techniques

G S Hollingworth, S L Smith, A M Tyrrell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 toe of evolutionary algorithms and genetic programming is demonstrated for rite conventional image processing operation of edge detection. Results al-e presented for this system and evaluated with respect to a conventional Sobel edge detector.

Original languageEnglish
Title of host publicationPROCEEDINGS OF THE SEVENTH EUROMICRO WORKSHOP ON PARALLEL AND DISTRIBUTED PROCESSING, PDP'99
Place of PublicationLOS ALAMITOS
PublisherIEEE Computer Society
Pages35-42
Number of pages8
ISBN (Print)0-7695-0059-5
Publication statusPublished - 1999
Event7th Euromicro Workshop on Parallel and Distributed Processing (PDP 99) - FUNCHAL
Duration: 3 Feb 19995 Feb 1999

Conference

Conference7th Euromicro Workshop on Parallel and Distributed Processing (PDP 99)
CityFUNCHAL
Period3/02/995/02/99

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