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An Indexed Rule-Based Fuzzy Color Filtering Method

  • Balázs TusorEmail author
  • János T. Tóth
  • Annamária R. Várkonyi-Kóczy
Chapter
Part of the Topics in Intelligent Engineering and Informatics book series (TIEI, volume 14)

Abstract

Color filtering has been an important field of image processing ever since the digital detection of color information had been made available. Nowadays as the image sizes grow larger and larger, the filtering approaches also have to keep up the pace. Two methods are used typically for color filtering: Lookup table-based and rule-based color filters. The former ones are capable of real-time operation at the cost of significant memory requirements, while the latter ones tend to work slower but have a more compact data representation. In this paper, a novel color filtering method is presented that has a much more compact data representation than the former, while much faster than the latter approaches.

Keywords

Color filtering Classification Rule-based systems 

Notes

Acknowledgements

This work has been sponsored by the Research & Development Operational Program for the project “Modernization and Improvement of Technical Infrastructure for Research and Development of J. Selye University in the Fields of Nanotechnology and Intelligent Space”, ITMS 26210120042, co-funded by the European Regional Development Fund.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Balázs Tusor
    • 1
    • 2
    Email author
  • János T. Tóth
    • 2
  • Annamária R. Várkonyi-Kóczy
    • 1
    • 2
  1. 1.Institute of Automation, Óbuda UniversityBudapestHungary
  2. 2.Department of Mathematics and InformaticsJ. Selye UniversityKomárnoSlovakia

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