• DocumentCode
    2822509
  • Title

    The Content-Based Image Retrieval Method Using Multiple Features

  • Author

    Ha, Jeong-Yo ; Kim, Gye-Young ; Choi, Hyung-Il

  • Author_Institution
    Sch. of Media, Soongsil Univ., Seoul
  • Volume
    1
  • fYear
    2008
  • fDate
    2-4 Sept. 2008
  • Firstpage
    652
  • Lastpage
    657
  • Abstract
    In this paper, we propose an image retrieval method using color feature and shape feature. We suggest CBIR (content based image retrieval) method using color and shape information. Using just one feature information may cause inaccuracy compared with using more than two feature information. Therefore many image retrieval system use many feature information like color, shape and other features. We use two feature, HSI color information especially Hue value and CSS (curvature scale space) as shape information. We search candidate image form DB which include feature information of many images. As a result, we show that good results can be obtained by color and shape feature. When we use two features, we could approach better result.
  • Keywords
    content-based retrieval; feature extraction; image colour analysis; image retrieval; HSI color information; color feature information; content-based image retrieval system; curvature scale space; hue value; shape feature information; shape information; Cascading style sheets; Content based retrieval; Data mining; Feature extraction; Image databases; Image retrieval; Image storage; Information management; Information retrieval; Shape; CSS; Histogram Intersection; Image retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    978-0-7695-3322-3
  • Type

    conf

  • DOI
    10.1109/NCM.2008.220
  • Filename
    4624086