• DocumentCode
    2620147
  • Title

    ROI Image Retrieval Based on the Spatial Structure of Objects

  • Author

    Zou, Weiwen ; Feng, Guocan

  • Author_Institution
    Math. & Comput. Sch., Sun Yat-sen Univ., Guangzhou, China
  • Volume
    7
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    105
  • Lastpage
    110
  • Abstract
    Spatial structure of objects is an important feature of images and making use of this feature properly is very important for the user in the retrieval system. However, only a third of the existing image retrieval systems use spatial features and those features are low precision features which are variant to rotation and shift. In this paper, a polygon-based spatial feature model is proposed to describe the spatial structure of objects in image. This model is a precise description and is rotation-invariant, scale-invariant and shift-invariant. The experiments show the proposed method has good performance.
  • Keywords
    content-based retrieval; image retrieval; image segmentation; ROI content based image retrieval system; image segmentation; object spatial structure; polygon-based spatial feature model; Clustering algorithms; Computer science; Histograms; Image retrieval; Image segmentation; Information retrieval; Mathematics; Partitioning algorithms; Shape; Sun; CBIR; ROI; spatial structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.995
  • Filename
    5170290