• DocumentCode
    2782115
  • Title

    Application of adaptive filters in noise reduction in mammography images

  • Author

    Ramezanpour, Hamidreza ; Barati, Navid ; Darmani, Ghazaleh ; Farrokhbakht, Hosein

  • Author_Institution
    Dept. of Nucl. Eng. & Phys., Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    16-18 Dec. 2010
  • Firstpage
    423
  • Lastpage
    426
  • Abstract
    In this paper, we introduce an effective scheme for reducing noise level in mammography images by adaptive filters. The scheme proposed includes finding the best weight vector with least-mean-square (LMS) algorithm and then apply it to images. The effectiveness and less computational time required of the algorithm, are the main advantages which are not seen in mammography image enhancement literature together yet. Finally one example is brought to show the effectiveness of proposed scheme.
  • Keywords
    adaptive filters; biomedical optical imaging; cancer; image denoising; least mean squares methods; mammography; medical image processing; adaptive filters; cancer mass; image enhancement; least-mean-square algorithm; mammography images; noise reduction; weight vector; Breast; Least squares approximation; Noise; Noise measurement; Optical filters; Optical imaging; adaptive filters; least-mean-square; mammogeraphy; noise canceling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems in Medicine and Biology (ICSMB), 2010 International Conference on
  • Conference_Location
    Kharagpur
  • Print_ISBN
    978-1-61284-039-0
  • Type

    conf

  • DOI
    10.1109/ICSMB.2010.5735417
  • Filename
    5735417