Fuzzy logic and mathematical morphology: implementation by stack filters

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 therefo...

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Veröffentlicht in:	IEEE transactions on signal processing 1996-01, Vol.44 (1), p.142-147
Hauptverfasser:	Rea, J.A., Longbotham, H.G., Kothari, H.N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Exact sciences and technology Filtering Filters Fuzzy control Fuzzy logic Information, signal and communications theory Miscellaneous Morphological operations Morphology Process control Shape Signal processing Statistics Telecommunications and information theory
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Beschreibung
Zusammenfassung:	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.
ISSN:	1053-587X 1941-0476
DOI:	10.1109/78.482024