DocumentCode :
2301578
Title :
Basic properties of the interval-valued fuzzy morphological operators
Author :
Mélange, Tom ; Nachtegael, Mike ; Sussner, Peter ; Kerre, Etienne
Author_Institution :
Dept. of Appl. Math. & Comput. Sci., Ghent Univ., Ghent, Belgium
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
Mathematical morphology is a theory to extract specific information such as edges and patterns from images. The original binary morphology, for binary black and white images, was extended to greyscale images, amongst others, by a fuzzy approach known as fuzzy mathematical morphology. This approach was based on the observation that greyscale images and fuzzy sets can be modelled in the same way. Recently, fuzzy mathematical morphology has been further extended based on extensions of classical fuzzy set theory. In this paper, we focus on the extension based on interval-valued fuzzy set theory, i.e., interval-valued fuzzy morphology, and we give an overview of the basic properties that hold in this model.
Keywords :
fuzzy set theory; image colour analysis; mathematical morphology; binary black image; binary morphology; fuzzy mathematical morphology; greyscale image; interval-valued fuzzy morphological operator; interval-valued fuzzy set theory; white image; Electronic mail; Fuzzy set theory; Fuzzy sets; Image edge detection; Mathematical model; Morphology; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5583992
Filename :
5583992
Link To Document :
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