DocumentCode
1245964
Title
Fuzzy logic and mathematical morphology: implementation by stack filters
Author
Rea, Joseph A. ; Longbotham, Harold G. ; Kothari, Hemal N.
Author_Institution
Texas Univ., San Antonio, TX, USA
Volume
44
Issue
1
fYear
1996
fDate
1/1/1996 12:00:00 AM
Firstpage
142
Lastpage
147
Abstract
Mathematical morphology has proven invaluable for signal/image processing. Fuzzy theory is enjoying great success in control and signal processing. We show that stack filters, which are already related to morphology, require slight modification to implement basic fuzzy operators. The article therefore provides a fast errorless method for implementation of basic fuzzy operations
Keywords
filtering theory; fuzzy logic; fuzzy set theory; image processing; mathematical morphology; signal processing; fast errorless method; fuzzy operators; fuzzy set theory; image processing; mathematical morphology; signal processing; stack filters; Filtering; Filters; Fuzzy control; Fuzzy logic; Morphological operations; Morphology; Process control; Shape; Signal processing; Statistics;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.482024
Filename
482024
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