Design of highly parallel edge detection nodes using evolutionary techniques

Author

Hollingworth, G.S. ; Smith, S.L. ; Tyrrell, A.M.

Author_Institution

Dept. of Electron., York Univ., UK

fYear

1999

fDate

3-5 Feb 1999

Firstpage

35

Lastpage

42

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

Keywords

edge detection; evolutionary computation; image processing; parallel algorithms; Sobel edge detector; bio-inspired systems; evolutionary techniques; evolvable hardware; genetic programming; grey-scale images; highly parallel edge detection nodes; highly parallel image processing tool; Computer science; Councils; DNA; Design engineering; Detectors; Evolutionary computation; Genetic programming; Image edge detection; Image processing; Phylogeny;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Processing, 1999. PDP '99. Proceedings of the Seventh Euromicro Workshop on

Conference_Location

Funchal

Print_ISBN

0-7695-0059-5

Type

conf

DOI

10.1109/EMPDP.1999.746642

Filename

746642