Tile Classification Using the CIELAB Color Model

  • Christos-Nikolaos Anagnostopoulos
  • Athanassios Koutsonas
  • Ioannis Anagnostopoulos
  • Vassily Loumos
  • Eleftherios Kayafas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3514)


An image processing algorithm was developed for tile shade classification on the basis of quantitative measurements in CIELAB color space. A total of 50 tile images of 10 types were recorded, and evaluated with the proposed algorithm in comparison with the conventional classification method. The objectivity of the method is based on the fact that it is not subject to inter- and intra-observer variability arising from human’s profile of competency in interpreting subjective and non-quantifiable descriptions.


Basic Color Tile Type CIELAB Color Tile Surface CIELAB Color Space 
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 2005

Authors and Affiliations

  • Christos-Nikolaos Anagnostopoulos
    • 1
  • Athanassios Koutsonas
    • 2
  • Ioannis Anagnostopoulos
    • 3
  • Vassily Loumos
    • 2
  • Eleftherios Kayafas
    • 2
  1. 1.Cultural Technology & Communication Dpt.University of the AegeanMytileneGreece
  2. 2.Electrical & Computer Engineering SchoolNational Technical University of AthensAthensGreece
  3. 3.Information & Communication System Engineering Dpt.University of the AegeanKarlovassi, Samos

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