A construction method of interval-valued fuzzy sets for image processing

Jurio, A., Paternain, D., Lopez-Molina, C., Bustince, H., Mesiar, R. and Beliakov, G. 2011, A construction method of interval-valued fuzzy sets for image processing, in T2FUZZ 2011 : IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, IEEE, [Paris, France], pp. 16-22.

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Title A construction method of interval-valued fuzzy sets for image processing
Author(s) Jurio, A.
Paternain, D.
Lopez-Molina, C.
Bustince, H.
Mesiar, R.
Beliakov, G.
Conference name Symposium on Advances in Type-2 Fuzzy Logic Systems (1st : 2011 : Paris, France)
Conference location Paris, France
Conference dates 11-15 Apr. 2011
Title of proceedings T2FUZZ 2011 : IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems
Editor(s) [Unknown]
Publication date 2011
Series IEEE Symposium Series on Computational Intelligence
Conference series Symposium on Advances in Type-2 Fuzzy Logic Systems
Start page 16
End page 22
Total pages 7
Publisher IEEE
Place of publication [Paris, France]
Keyword(s) image magnification
image processing
interval-valued fuzzy sets
Summary 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.
ISBN 1612840779
9781612840772
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
080104 Computer Vision
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2011, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30042385

Document type: Conference Paper
Collection: School of Information Technology
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