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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

Title of book

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

Series

Advances in intelligent and soft computing; v. 107

Chapter number

32

Pagination

351 - 362

Publisher

Springer-Verlag

Place of publication

Berlin, Germany

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)

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

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    Keywords

    image reduction algorithlocal reduction operatorsScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science

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    All Rights Reserved

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