• DocumentCode
    1231661
  • Title

    Wavelet-watershed automatic infrared image segmentation method

  • Author

    Neves, S.R. ; Silva, E. A B da ; Mendonca, G.V.

  • Author_Institution
    Grupo de Guerra Eletronica, Inst. de Pesquisas da Marinha, Rio de Janeiro, Brazil
  • Volume
    39
  • Issue
    12
  • fYear
    2003
  • fDate
    6/12/2003 12:00:00 AM
  • Firstpage
    903
  • Lastpage
    904
  • Abstract
    A novel approach for infrared image segmentation with applications to ship surveillance and classification is presented. It employs a watershed transformation using a marker that combines wavelet transform modulus maxima with morphological techniques. This approach is totally automatic and has many advantages compared with the traditional methods, such as its ability to extract objects beyond or below the environment temperature, robustness to noise inherent to infrared images, as well as a solution of the horizon problem.
  • Keywords
    feature extraction; image classification; image segmentation; infrared imaging; ships; surveillance; wavelet transforms; automatic IR image segmentation method; horizon problem; infrared image segmentation method; marker extraction; morphological techniques; ship classification; ship surveillance; watershed transformation; wavelet transform modulus maxima; wavelet-watershed IR image segmentation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20030617
  • Filename
    1209484