Title :
Fuzzy mathematical morphology: general concepts and decomposition properties
Author :
Nachtegael, Mike ; Kerre, Etienne E.
Author_Institution :
Dept. of Appl. Math. & Comput. Sci., Ghent Univ., Belgium
Abstract :
Fuzzy mathematical morphology is an alternative extension of binary morphology to gray-scale morphology, using techniques from fuzzy set theory and fuzzy logic. The authors discuss a general logical framework for discrete morphology and investigate the decomposition of the fuzzy morphological operations in this framework
Keywords :
fuzzy logic; fuzzy set theory; image processing; mathematical morphology; binary morphology; decomposition properties; discrete morphology; fuzzy logic; fuzzy mathematical morphology; fuzzy morphological operations; fuzzy set theory; general logical framework; gray-scale morphology; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Gray-scale; Mathematics; Morphological operations; Morphology; Pixel; Uncertainty; Zinc;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820171
