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Image reduction using fuzzy quantifiers

Paternain, D., Lopez-Molina, C., Bustince, H., Mesiar, R. and Beliakov, G. 2011, Image reduction using fuzzy quantifiers, in Eurofuse 2011 : workshop on fuzzy methods for knowledge-based systems, Springer-Verlag, Berlin, Germany, pp.351-362.

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Title Image reduction using fuzzy quantifiers
Author(s) Paternain, D.
Lopez-Molina, C.
Bustince, H.
Mesiar, R.
Beliakov, G.
Title of book Eurofuse 2011 : workshop on fuzzy methods for knowledge-based systems
Editor(s) Melo-Pinto, Pedro
Couto, Pedro
Serodio, Carlos
Fodor, Janos
De Baets, Bernard
Publication date 2011
Series Advances in intelligent and soft computing; v. 107
Chapter number 32
Total chapters 37
Start page 351
End page 362
Total pages 12
Publisher Springer-Verlag
Place of Publication Berlin, Germany
Keyword(s) image reduction algorith
local reduction operators
Summary In this work we propose an image reduction algorith based on local reduction operators. We analyze the construction of weak local reduction operators by means of aggregation functions and we analyze the effect of several aggregation functions in image reduction with original and noisy images.
ISBN 9783642240003
9783642240010
ISSN 1867-5662
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
Copyright notice ©2011, Springer-Verlag Berlin Heidelberg.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30043128

Document type: Book Chapter
Collection: School of Information Technology
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