• DocumentCode
    606129
  • Title

    Modified FCM approach for MR brain image segmentation

  • Author

    Badmera, M.S. ; Nilawar, A.P. ; Karwankar, A.R.

  • Author_Institution
    Deogiri Inst. of Eng. & Manage. Studies, Aurangabad, India
  • fYear
    2013
  • fDate
    20-21 March 2013
  • Firstpage
    891
  • Lastpage
    896
  • Abstract
    Image segmentation is defined as action of splitting an image into band of pixels. Aim of this process is to group pixels into regions. This is used in locating objects in satellite images, face recognition, iris recognition, agricultural imaging, medical imaging. Clustering is process that make group of similar objects and is widely used technique for brain tumour detection. Fuzzy C means clustering is testified to be good as compared to other technique. Drawback of this method is time required is large for convergence. So this time can be minimized by improving cluster center and membership value updating criteria. Magnetic Resonance brain images various types like Craniopharyngioma, Ependymoma, CNS-lymphoma, Pineal tumour, germinoma, Glioblastoma can be used.
  • Keywords
    biomedical MRI; brain; face recognition; fuzzy set theory; image segmentation; iris recognition; medical disorders; medical image processing; neurophysiology; tumours; CNS-Iymphoma; MR brain image segmentation; agricultural imaging; brain tumour detection; craniopharyngioma; ependymoma; face recognition; fuzzy C means clustering process; germinoma; glioblastoma; group pixels; iris recognition; magnetic resonance brain images; modified FCM approach; pineal tumour; pixel band; satellite images; FCM; GCE; RI; image segmentation; modified FCM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
  • Conference_Location
    Nagercoil
  • Print_ISBN
    978-1-4673-4921-5
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2013.6528885
  • Filename
    6528885