• DocumentCode
    3149798
  • Title

    Analysis and comparison on image feature detectors

  • Author

    Zhitao, Xiao ; Ming Yu ; Chengming, Guo ; Hongmei, Tang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tianjin Univ., China
  • fYear
    2002
  • fDate
    21-24 May 2002
  • Firstpage
    651
  • Lastpage
    656
  • Abstract
    A number of image feature detectors and their characteristics are analyzed. The key issues of image feature detection are discussed extensively and comprehensively. Gradient-based feature detectors, their properties, and faults are discussed and phase-based techniques and their problems are also explained. Based on the survey, some open issues, which need to be researched further, are presented, and the future research trends are also discussed.
  • Keywords
    edge detection; feature extraction; gradient methods; computer vision; content-based retrieval; edge detection; gradient-based feature detectors; image feature detectors; image retrieval; pattern recognition; phase-based techniques; Acoustic noise; Computer vision; Detectors; Fault detection; Image analysis; Image edge detection; Image retrieval; Information analysis; Pattern recognition; Phase detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility, 2002 3rd International Symposium on
  • Print_ISBN
    0-7803-7277-8
  • Type

    conf

  • DOI
    10.1109/ELMAGC.2002.1177515
  • Filename
    1177515