• DocumentCode
    2155773
  • Title

    Medical Image Retrieval Using SIFT Feature

  • Author

    Zhi, Li-Jia ; Zhang, Shao-Min ; Zhao, Da-Zhe ; Zhao, Hong ; Lin Shu-kuan

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, authors study using SIFT feature for medical image retrieval. Under bag-of-words framework, this paper study different methods forming visual words from local SIFT feature, and show good choice for medical image retrieval, in different condition. Through experimentation on different body parts, rotation and scale, the methods show different performance, thus provide reasonable choice for medical image retrieval.
  • Keywords
    feature extraction; image retrieval; medical image processing; SIFT feature; bag-of-words framework; medical image retrieval; scale invariant feature transform; Biomedical engineering; Biomedical imaging; Computer vision; Content based retrieval; Feature extraction; Histograms; Image retrieval; Image segmentation; Information retrieval; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304112
  • Filename
    5304112
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2155773