Learning and Extracting Edges from Images by a Modified Hopfield Neural Network

Authors:
Sylvain Chartier;Richard Lepage
Affiliations:
-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Year:
2002

Citing 0
Cited 3

An associative memory approach to medical decision support systems

Computer Methods and Programs in Biomedicine
Bidirectional associative memories: Different approaches

ACM Computing Surveys (CSUR)
Optimization of stochastic networks using simulated annealing for the storage and recalling of compressed images using SOM

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper introduced a modified unsupetvised Hopfield network that can learn the underlying process in an edge detection task from grey level images. After the learning phase, the network peiformance is tested to ensure that it can detect only the significant edges andthat it can generalise other images.