• DocumentCode
    1863051
  • Title

    Image segmentation using histogram specification

  • Author

    Thomas, Gabriel

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Manitoba, MB
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    589
  • Lastpage
    592
  • Abstract
    Development of an accurate image segmentation algorithm can be the most demanding part of a computer vision system. There is not a panacean method that can work with several different types of images and a segmentation approach is usually designed for solving a specific problem. In this work, histogram specification is proposed in order to help the segmentation step in what was found to be a robust way regardless of the segmentation approach used. Semiautomatic algorithms for histogram specification are discussed. Examples using different segmentation techniques are shown.
  • Keywords
    computer vision; image segmentation; statistical analysis; computer vision system; histogram specification; image segmentation; semiautomatic algorithm; Calibration; Computer vision; Filtering; Frequency; Histograms; Image segmentation; Magnetic resonance imaging; Matched filters; Robustness; Shape; Image segmentation; histogram filtering; histogram matching; histogram specification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4711823
  • Filename
    4711823