• DocumentCode
    535099
  • Title

    An approach for textures classification and definition by categories

  • Author

    Chen, Xing ; Hong, Kun ; Wang, Hai-tao

  • Author_Institution
    Yunnan Provincial Key Lab. of Comput. Applic., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    884
  • Lastpage
    887
  • Abstract
    Textures is one of the keys in image pattern recognition. To realize the computer vision for textures, it is necessary that understand textures rationally. The key of understanding textures is explaining them by the human´s signs and approaches. We believe the mathematical structure of categories is similar to human´s rational intelligence. In this paper, we describe the common textures by notes and term in categories theory. It means categories are useful for textures and image recognition. The combination of categories and neural network is worth to research which will gradually reveal the unity way of human´s percept and rationality.
  • Keywords
    image classification; image texture; neural nets; pattern recognition; computer vision; image pattern recognition; perception; rational intelligence; texture classification; Computational modeling; Computers; Floors; Humans; Image color analysis; Pattern recognition; Pixel; Categories theory; Image pattern recognition; Textures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646883
  • Filename
    5646883