• DocumentCode
    2448245
  • Title

    A hybrid algorithm for segmentation of MRI images based on edge detection

  • Author

    Taghizadeh, Moslem ; Hajipoor, Mahboobeh

  • Author_Institution
    Imam Hossein Univ., Tehran, Iran
  • fYear
    2011
  • fDate
    14-16 Oct. 2011
  • Firstpage
    107
  • Lastpage
    111
  • Abstract
    The main disadvantage of traditional global thresholding techniques is that they do not have an ability to exploit information of the characteristics of target images that they threshold. In this paper, we propose a new approach based on combination of modified p-tile and edge detection algorithms to have more accurate object segmentation. Using our proposed method, it is shown that almost all of our experiments on MRI images resulted to better object segmentation than using traditional methods.
  • Keywords
    biomedical MRI; edge detection; image segmentation; medical image processing; MRI images; edge detection algorithms; global thresholding techniques; modified p-tile algorithms; object segmentation; Detectors; Image edge detection; Image segmentation; Magnetic resonance imaging; Noise; Pattern recognition; Shape; Canny; Edge detection; MRI Images Threshold; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2011 International Conference of
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4577-1195-4
  • Type

    conf

  • DOI
    10.1109/SoCPaR.2011.6089123
  • Filename
    6089123