• DocumentCode
    2556107
  • Title

    Design of the image retrieval algorithm based on entropy properties

  • Author

    Jin, Zhou Rui ; Mei, Liu Song ; Qiang, Fang

  • Author_Institution
    Coll. of Landscape Archit., Henan Inst. of Sci. & Technol., Xinxiang, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    231
  • Lastpage
    234
  • Abstract
    This article expounds that color distribution entropy is used to describe the distribution characteristics of the spatial distribution of color in pictures, and makes a further improved algorithm according to human visual and entropy characteristics. We can show that the method of image retrieval is effective and has higher retrieval performance by analyzing the experimental results.
  • Keywords
    entropy; image colour analysis; image retrieval; color distribution entropy; entropy properties; human visual; image retrieval algorithm; spatial distribution; Algorithm design and analysis; Educational institutions; Entropy; Histograms; Humans; Image analysis; Image retrieval; Pixel; Polymers; Technology management; Image retrieval algorithm; color histogram; color spatial distribution of entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5478176
  • Filename
    5478176