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 therefore provides a fast errorless method for implementation of basic fuzzy operations.