• DocumentCode
    2994055
  • Title

    PDE-based medical images denoising using Cellular Neural Networks

  • Author

    Gacsádi, A. ; Grava, C. ; Straciuc, O. ; Gavrilut, I.

  • Author_Institution
    Univ. of Oradea, Oradea, Romania
  • fYear
    2009
  • fDate
    9-10 July 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents the medical image denoising by using cellular neural networks (CNN), based on the variational model of Chan and Esedoglu. There are also comparatively analyzed the proposed method and other CNN methods that uses variational computation, our proposed method offering the best efficiency in terms of image denoising and edge preservation.
  • Keywords
    cellular neural nets; image denoising; medical image processing; partial differential equations; variational techniques; PDE-based medical image denoising; cellular neural networks; edge preservation; variational computation; variational model; Additive noise; Biomedical imaging; Cellular neural networks; Gaussian noise; Image denoising; Image segmentation; Integral equations; Medical diagnostic imaging; Partial differential equations; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4244-3785-6
  • Electronic_ISBN
    978-1-4244-3786-3
  • Type

    conf

  • DOI
    10.1109/ISSCS.2009.5206128
  • Filename
    5206128
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2994055