• DocumentCode
    2905343
  • Title

    An Image Retrieval Algorithm Based on Color Segment and Shape Moment Invariants

  • Author

    Shen, Guoqiang ; Jiang, Lanchi ; Zhang, Guoxuan

  • Author_Institution
    Inst. of Mech. Manuf. & Autom., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    517
  • Lastpage
    521
  • Abstract
    Aiming at the image retrieval technology based on color feature and shape feature, a new image retrieval algorithm based on color segment histogram and Hu moment invariants with edge information was presented. The idea of color segment was to divide image space into fixed blocks, and then to set each block as different weights according to the color distribution characteristic. Moreover, image of shape feature was obtained according to the moment invariants and the edge image. Finally, user assigns the weights to the features respectively, and calculates the similarity with combined features of color and shape. Compared with the traditional single method, the results indicate that the proposed algorithm in this paper has better retrieval recall and precision.
  • Keywords
    image colour analysis; image retrieval; image segmentation; Hu moment invariants; color distribution characteristic; color feature; color segment histogram; color segment invariants; edge information; image retrieval algorithm; shape feature; shape moment invariants; Computational intelligence; Data mining; Feature extraction; Histograms; Image retrieval; Image segmentation; Information retrieval; Manufacturing automation; Shape; Space technology; color; image retrieval; moment invariant; shape; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.136
  • Filename
    5368742