• DocumentCode
    3539496
  • Title

    Analysis of contour evolution methods for segmentation of medical images

  • Author

    Divya, S. ; Jayanthi, K.B.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., K.S. Rangasamy Coll. of Technol., Namakkal, India
  • fYear
    2015
  • fDate
    19-20 March 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Deformable models are promising and robustly researched computer-assisted medical image analysis technique. Here the segmentation is done by using the contour evolution method. The control points are automatically placed by thresholding and then the contour is applied to segment the particular area. The contour is applied for four prior models to segment the heart. Among the various prior models, shape is the most important to acquire the heart shape accurately. This approach is used to segment the heart from the computed tomographic image. Finally the analysis is performed by comparing the result with other deformable models.
  • Keywords
    cardiology; computerised tomography; image segmentation; medical image processing; computed tomographic image; computer-assisted medical image analysis; contour evolution methods; deformable models; heart shape; medical image segmentation; Biomedical imaging; Deformable models; Image segmentation; Minimization; Robustness; control points; deformable model; shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7192938
  • Filename
    7192938