APPLICATION OF FUZZY CELLULAR NEURAL NETWORKS TO EUCLIDEAN DISTANCE TRANSFORMATION

Authors
YANG T YANG LB
Citation
T. Yang et Lb. Yang, APPLICATION OF FUZZY CELLULAR NEURAL NETWORKS TO EUCLIDEAN DISTANCE TRANSFORMATION, IEEE transactions on circuits and systems. 1, Fundamental theory andapplications, 44(3), 1997, pp. 242-246
Citations number
10
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on circuits and systems. 1, Fundamental theory andapplications → ACNP
ISSN journal
10577122
Volume
44
Issue
3
Year of publication
1997
Pages
242 - 246
Database
ISI
SICI code
1057-7122(1997)44:3<242:AOFCNN>2.0.ZU;2-N
Abstract
A new structure of fuzzy cellular neural network (FCNN) is proposed in this brief. In this FCNN, the relationship between fuzzy templates an d input or/and output is defined by addition but not multiplication. U nlike the FCNN we proposed before [I], which can only implement morpho logical operators with flat structuring elements, this FCNN can implem ent morphological operators with all the types of structuring elements . This: FCNN is used to implement Euclidean Distance Transform. Simula tion results are given.