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Eurofuse 2011 pp 351-362 | Cite as

Image Reduction Using Fuzzy Quantifiers

  • D. Paternain
  • C. Lopez-Molina
  • H. Bustince
  • R. Mesiar
  • G. Beliakov
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 107)

Abstract

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.

Keywords

Original Image Reduction Operator Aggregation Function Impulsive Noise Fuzzy Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • D. Paternain
    • 1
  • C. Lopez-Molina
    • 1
  • H. Bustince
    • 1
  • R. Mesiar
    • 2
    • 3
  • G. Beliakov
    • 4
  1. 1.Departamento de Automatica y ComputacionUniversidad Publica de NavarraPamplonaSpain
  2. 2.Department of Mathematics and Descriptive GeometrySlovak University of TechnologyBratislavaSlovakia
  3. 3.Institute of Information Theory and AutomationCzech Academy of SciencesPragueCzech Republic
  4. 4.School of Information TechnologyDeakin UniversityBurwoodAustralia

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