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New Algorithms for a Granular Image Recognition System

  • Krzysztof WiaderekEmail author
  • Danuta Rutkowska
  • Elisabeth Rakus-Andersson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9693)

Abstract

The paper describes new algorithms proposed for the granular pattern recognition system that retrieves an image from a collection of color digital pictures based on the knowledge contained in the object information granule (OIG). The algorithms use the granulation approach that employs fuzzy and rough granules. The information granules present knowledge concerning attributes of the object to be recognized. Different problems are considered depending on the full or partial knowledge where attributes are “color”, “location”, “size”, “shape”.

Keywords

Image recognition Information granulation Fuzzy sets Rough sets Knowledge-based system 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Krzysztof Wiaderek
    • 1
    Email author
  • Danuta Rutkowska
    • 1
    • 2
  • Elisabeth Rakus-Andersson
    • 3
  1. 1.Institute of Computer and Information SciencesCzestochowa University of TechnologyCzestochowaPoland
  2. 2.Information Technology InstituteUniversity of Social SciencesLodzPoland
  3. 3.Department of Mathematics and Natural SciencesBlekinge Institute of TechnologyKarlskronaSweden

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