• DocumentCode
    2269329
  • Title

    An Object Based Image Retrieval

  • Author

    Zhang, Yungang ; Yang, Jinhua

  • Author_Institution
    Dept. of Comput. Sci., YunNan Normal Univ., Kunming
  • Volume
    3
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    385
  • Lastpage
    388
  • Abstract
    An object based image retrieval scheme is described. In this scheme, to get objects in an image is the first step, which indeed is an image split and merge process. To control image segmentation, definition of LPD is given. After the split, merge the sub-blocks to get some homogeneous regions called objects. In objects detection, the concepts of inside block and outside block are proposed, a method to choose the seed of regions and proper growth criterion is also presented. Based on the objects get from the image, some important features can be extracted to measure similarity between images.
  • Keywords
    feature extraction; image retrieval; image segmentation; object detection; feature extraction; image segmentation; image split-merge process; object based image retrieval scheme; object detection; Computer science; Content based retrieval; Data mining; Feature extraction; Histograms; Image analysis; Image retrieval; Image segmentation; Information retrieval; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.477
  • Filename
    4740024