DocumentCode
296170
Title
Enhanced Hopfield network for morphologic image processing
Author
Lu, Si Wei ; Ghica, Dan
Author_Institution
Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
Volume
4
fYear
1995
fDate
Nov/Dec 1995
Firstpage
2091
Abstract
Hopfield networks are neural architectures remarkable by architectural simplicity and flexibility in usage. There are many areas in which Hopfield networks have been successfully applied, including associative memories, pattern recognition and artificial intelligence. This paper proposes a novel application of Hopfield networks in image processing, as morphologic filters, and illustrates the concept with a comprehensive example of a morphologic filter used for feature extraction
Keywords
Hopfield neural nets; edge detection; feature extraction; filtering theory; mathematical morphology; architectural simplicity; associative memories; enhanced Hopfield network; feature extraction; flexibility; morphologic filters; morphologic image processing; neural architectures; pattern recognition; Artificial intelligence; Associative memory; Computer architecture; Computer networks; Concurrent computing; Feature extraction; Filters; Image processing; Parallel processing; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.488998
Filename
488998
Link To Document