• DocumentCode
    2454522
  • Title

    Color image retrieval using edge-spatial feature

  • Author

    Shan, Zhao ; Guo-Hong, Gao ; Qian, Zhao

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2010
  • fDate
    24-27 Aug. 2010
  • Firstpage
    1479
  • Lastpage
    1482
  • Abstract
    Color image retrieval based on histogram is analyzed and a novel method is proposed based on the image edge information. Firstly, the image edge is extracted by the use of the color vector angles because of its character which is insensitive to illumination but sensitive to hue and saturation. Then, the color vector angle histogram of the image edge is constructed to describe the image feature. With this descriptor, the color information, edge information and shape feature have been taken into account. Experimental results have shown that the proposed method not only has sound retrieval performance but also has the robustness against illumination changes, position translation, scale translation of the image content.
  • Keywords
    edge detection; feature extraction; image colour analysis; image retrieval; color image retrieval; color information; color vector angle histogram; edge-spatial feature; hue; illumination change; image content; image edge exraction; image edge information; image feature; position translation; saturation; scale translation; shape feature; Histograms; Image color analysis; Image edge detection; Image retrieval; Lighting; Pixel; Robustness; color vector angle; content-based image retrieval; histogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Education (ICCSE), 2010 5th International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4244-6002-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2010.5593745
  • Filename
    5593745