DocumentCode :
1325581
Title :
Application of fuzzy cellular neural networks to Euclidean distance transformation
Author :
Yang, Tao ; Yang, Lin-Bao
Author_Institution :
Dept. of Autom. Control Eng., Shanghai Univ. of Technol., China
Volume :
44
Issue :
3
fYear :
1997
fDate :
3/1/1997 12:00:00 AM
Firstpage :
242
Lastpage :
246
Abstract :
A new structure of fuzzy cellular neural network (FCNN) is proposed. In this FCNN, the relationship between fuzzy templates and input or/and output is defined by addition but not multiplication. Unlike the FCNN we proposed previously, which can only implement morphological operators with flat structuring elements, this FCNN can implement morphological operators with all the types of structuring elements. This FCNN is used to implement Euclidean distance transform. Simulation results are given
Keywords :
cellular neural nets; image processing; mathematical morphology; transforms; Euclidean distance transformation; addition; fuzzy CNN; fuzzy cellular neural networks; fuzzy templates; morphological operators; Cellular neural networks; Equations; Euclidean distance; Fuzzy neural networks; Image converters; Image processing; Laboratories; Morphology; Pixel; Turing machines;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7122
Type :
jour
DOI :
10.1109/81.557369
Filename :
557369
Link To Document :
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