DocumentCode
1497794
Title
Fuzzy selection filters for image restoration with neural learning
Author
Chen, Rong-Chung ; Yu, Pao-Ta
Author_Institution
Dept. of Inf. Manage., Chaiyang Univ. of Technol., Wufeng, Taiwan
Volume
47
Issue
5
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
1446
Lastpage
1450
Abstract
A novel class of nonlinear filters, called rank conditioned fuzzy selection (RCFS) filters, is proposed to improve the filtering capability of rank conditioned rank selection filters. In contrast to the selection filters, the output of RCFS filters is obtained from the center gravity of a selected fuzzy set of the observation samples
Keywords
fuzzy neural nets; fuzzy set theory; image restoration; image sampling; learning (artificial intelligence); nonlinear filters; center gravity; image restoration; neural learning; nonlinear filters; observation samples; rank conditioned fuzzy selection filters; Councils; Fuzzy sets; Gravity; Image processing; Image restoration; Information filtering; Information filters; Information management; Nonlinear filters; Signal restoration;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.757241
Filename
757241
Link To Document