DocumentCode :
1745014
Title :
Hopfield neural networks for edge detection
Author :
Uchiyama, Yoshifumi ; Haseyama, Miki ; Kitajima, Hideo
Author_Institution :
Graduate Sch. of Eng., Hokkaido Univ., Sapporo, Japan
Volume :
3
fYear :
2001
fDate :
6-9 May 2001
Firstpage :
608
Abstract :
In this paper, new parameters of Hopfield Neural Network (HNN) for edge detection of image are proposed. In conventional methods, two kinds of edge parameters, which detect horizontal and vertical direction edges, are introduced. In the proposed method, other four kinds of edge parameters are introduced for more accurate edge detection
Keywords :
Hopfield neural nets; edge detection; Hopfield neural network; edge detection; image processing; Hopfield neural networks; Image edge detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
Type :
conf
DOI :
10.1109/ISCAS.2001.921384
Filename :
921384
Link To Document :
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