DocumentCode
314902
Title
Cellular associative neural networks for image interpretation
Author
Orovas, C. ; Austin, J.
Author_Institution
York Univ., UK
Volume
2
fYear
1997
fDate
14-17 Jul 1997
Firstpage
665
Abstract
This paper describes the architecture and the operation of a neural network based system for image interpretation. The system is based on the use of two models of associative neural networks, ADAM and AURA for image and symbolic processing respectively. Employing characteristics of cellular automata theory and applying ideas from syntactic and structural pattern recognition, it uses a hierarchical approach to learn the structure of the images. The hardware implementation of this system is based on the C-NNAP hardware platform
Keywords
cellular neural nets; ADAM; AURA; C-NNAP hardware platform; cellular associative neural networks; cellular automata; hardware implementation; hierarchical approach; image interpretation; image processing; operation; structural pattern recognition; symbolic processing; syntactic pattern recognition;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing and Its Applications, 1997., Sixth International Conference on
Conference_Location
Dublin
ISSN
0537-9989
Print_ISBN
0-85296-692-X
Type
conf
DOI
10.1049/cp:19970978
Filename
615610
Link To Document