DocumentCode :
2213814
Title :
A construction method of interval-valued Fuzzy Sets for image processing
Author :
Jurio, A. ; Paternain, D. ; Lopez-Molina, C. ; Bustince, H. ; Mesiar, R. ; Beliakov, G.
Author_Institution :
Dipt. de Autom. y Comput., Univ. Publica de Navarra, Pamplona, Spain
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
16
Lastpage :
22
Abstract :
In this work we present a new construction method of IVFSs from Fuzzy Sets. We use these IVFSs for image processing. Concretely, in this contribution we introduce a new image magnification algorithm using IVFSs. This algorithm is based on block expansion and it is characterized by its simplicity.
Keywords :
fuzzy set theory; image processing; block expansion; construction method; image magnification algorithm; image processing; interval-valued fuzzy sets; Electronic mail; Fuzzy sets; Image edge detection; Image reconstruction; Interpolation; Pixel; Image Magnification; Image Processing; Interval-Valued Fuzzy Sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-077-2
Type :
conf
DOI :
10.1109/T2FUZZ.2011.5949554
Filename :
5949554
Link To Document :
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