Image reduction using fuzzy quantifiers

Paternain, D; Lopez-Molina, C; Bustince, H; Mesiar, R; Beliakov, Gleb

Image reduction using fuzzy quantifiers

chapter

posted on 2011-01-01, 00:00 authored by D Paternain, C Lopez-Molina, H Bustince, R Mesiar, Gleb BeliakovGleb Beliakov

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.

History

Chapter number

32

Pagination

351-362

ISSN

1867-5662

ISBN-13

9783642240010

ISBN-10

3642240011

Language

eng

Publication classification

B1 Book chapter

Copyright notice

2011, Springer-Verlag

Extent

37

Editor/Contributor(s)

Melo-Pinto P, Couto P, Serodio C, Fodor J, De Baets B

Publisher

Springer-Verlag

Place of publication

Berlin, Germany

Title of book

Eurofuse 2011 : workshop on fuzzy methods for knowledge-based systems

Series

Advances in intelligent and soft computing; v. 107

Publication URL

http://hdl.handle.net/10.1007/978-3-642-24001-0_32

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Keywords

image reduction algorith local reduction operators 080108 Neural, Evolutionary and Fuzzy Computation 970108 Expanding Knowledge in the Information and Computing Sciences

Image reduction using fuzzy quantifiers

History

Chapter number

Pagination

ISSN

ISBN-13

ISBN-10

Language

Publication classification

Copyright notice

Extent

Editor/Contributor(s)

Publisher

Place of publication

Title of book

Series

Publication URL

Usage metrics

Categories

Keywords

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