• DocumentCode
    3166234
  • Title

    Statistical approach to image classification

  • Author

    Kahou, Samira Ebrahimi ; Sulema, Yevgeniya

  • Author_Institution
    Nat. Tech. Univ. of Ukraine "Kyiv Polytech. Inst.", Kiev, Ukraine
  • Volume
    3
  • fYear
    2010
  • fDate
    28-30 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The central focus of this paper concerns tasks of image processing. In particular it deals with the problem of image classification based on both first-order and second-order statistics. Statistical data obtained in the MATLAB environment are shown in the diagrams and discussed. The principles of image classification are formulated in this paper. The results obtained in the research can be used in machine vision tasks as well.
  • Keywords
    computer vision; higher order statistics; image classification; MATLAB environment; first-order statistics; image classification; image processing; machine vision; second-order statistics; statistical approach; Bismuth; Brightness; Entropy; Focusing; Image classification; Image coding; Machine vision; Pixel; Probability; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4244-6724-2
  • Type

    conf

  • DOI
    10.1109/AQTR.2010.5520769
  • Filename
    5520769
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3166234