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