DocumentCode
384139
Title
Learning and extracting edges from images by a modified Hopfield neural network
Author
Chartier, Sylvain ; Lepage, Richard
Author_Institution
Departement de Psychologie, Univ. du Quebec a Montreal, Que., Canada
Volume
3
fYear
2002
fDate
2002
Firstpage
431
Abstract
This paper introduces a modified unsupervised Hopfield network that can learn the underlying process in an edge detection task from grey level images. After the learning phase, the network performance is tested to ensure that it can detect only the significant edges and that it can generalise other images.
Keywords
Hopfield neural nets; edge detection; feature extraction; performance evaluation; unsupervised learning; edge detection; feature extraction; grey level images; image generalisation; learning; modified unsupervised Hopfield network; network performance; neural network; Application software; Artificial neural networks; Eigenvalues and eigenfunctions; Feature extraction; Hopfield neural networks; Image edge detection; Image recognition; Phase detection; Psychology; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1047940
Filename
1047940
Link To Document