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
fDate :
1/1/1996 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
