DocumentCode :
2576315
Title :
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
Link To Document :
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