• DocumentCode
    3360639
  • Title

    An alternative approach for medical image segmentation

  • Author

    Deniz, F. Nur ; Alagoz, Baris Baykant ; Tagluk, M.E.

  • fYear
    2010
  • fDate
    22-24 April 2010
  • Firstpage
    886
  • Lastpage
    889
  • Abstract
    In this study a segmentation algorithm controlled by a dissimilarity function composed of a few criterion for segmentation of medical images, starting from a seed point and growing toward the boundary of the considered anatomical tissue, is proposed. It has been shown that the algorithm can be controlled to overcome the complications such as noise, variations in the pixel values and weak connectivity encountered on the targeted anatomical region in the medical image.
  • Keywords
    biological tissues; image segmentation; medical image processing; anatomical tissue; dissimilarity function; medical image segmentation; pixel value variation; weak connectivity; Segmentation; medical image analysis; region-growing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
  • Conference_Location
    Diyarbakir
  • Print_ISBN
    978-1-4244-9672-3
  • Type

    conf

  • DOI
    10.1109/SIU.2010.5653146
  • Filename
    5653146