• DocumentCode
    3378579
  • Title

    Topographic gray level multiscale analysis and its application to histogram modification

  • Author

    He, Chu ; Deng, Xin-Ping ; Xia, Gui-Song ; Yang, Wen ; Sun, Hong

  • Author_Institution
    Sch. of Electron. Inf., Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    369
  • Lastpage
    372
  • Abstract
    This paper describes a framework for multi-scale gray level analysis of images. It defines scales based on gray levels and organizes the basic “atoms” with a topographic map. The aim of this approach is to separate a large number of pixels concentrating in a narrow range of gray values. The main advantage of the methodology is that it allows manipulating pixels according to gray levels and spatial relations simultaneously. We apply it to histogram modification of Synthetic Aperture Radar (SAR) images. The experiments on displaying and classification prove the superiority of the approach.
  • Keywords
    radar imaging; synthetic aperture radar; histogram modification; image multiscale gray level analysis; spatial relation; synthetic aperture radar image; topographic gray level multiscale analysis; topographic map; Histograms; Image coding; Level set; Pixel; Shape; Synthetic aperture radar; Level set; multiscale; synthetic aperture radar; topographic map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5654256
  • Filename
    5654256