• DocumentCode
    1928564
  • Title

    Adaptive Morphological Method for Clutter Elimination to Enhance and Detect Infrared Small Target

  • Author

    Bai, Xiangzhi ; Zhou, Fugen ; Xie, Yongchun ; Jin, Ting

  • Author_Institution
    Image Process. Center, Beihang Univ., Beijing
  • fYear
    2008
  • fDate
    28-29 Jan. 2008
  • Firstpage
    47
  • Lastpage
    52
  • Abstract
    To overcome the affection of heavy clutter and dim target intensity on small target detection, an efficient morphological method through clutter elimination is proposed. The proposed adaptive method imports the property of the target region into the morphological operations, which apparently improves the performance of the method and can largely enhance the dim small target. So, the target can be easily detected through a target detection algorithm, which is proposed based on the adaptive morphological method for clutter elimination. Experiments show that the proposed method can accurately eliminate the clutter background, and thus largely enhance and efficiently detect the small target.
  • Keywords
    clutter; infrared imaging; mathematical morphology; object detection; adaptive morphological method; clutter elimination; dim target intensity; infrared small target; target detection; Adaptive control; Filtering; Infrared detectors; Internet; Morphology; Object detection; Optical computing; Programmable control; Protection; Smoothing methods; clutter elimination; false alarm reduction; target detection; target enhancement; top-hat transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-0-7695-3112-0
  • Electronic_ISBN
    978-0-7695-3112-0
  • Type

    conf

  • DOI
    10.1109/ICICSE.2008.28
  • Filename
    4548233