• DocumentCode
    186159
  • Title

    Digital mammograms contrast enhancement using wavelets — A comparative study

  • Author

    Martins, Nuno ; Pereira, Clever ; Ferreira, Michel

  • Author_Institution
    Centro de Comput. Grafica, Guimaraes, Portugal
  • fYear
    2014
  • fDate
    11-12 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Mammography is the most used diagnosis method for the breast cancer. The challenge of this exam is to obtain good contrast and resolution with small radiation doses. In recent years, several efforts have been done to improve the detection efficiency of mammograms by using the potential offered by digital image processing. In this work, the potential benefits of applying the wavelet transform for microcalcifications enhancement in the digital mammograms is studied. Several contrast enhancement methods based on wavelets found in literature were adjusted and applied to a digital mammogram dataset. Their performance was evaluated by appropriate quantitative metrics, and the advantages and disadvantages of each them are described in this study. This study represents a good starting point to choose an adequate enhancement method based on wavelet transform for a specific problem.
  • Keywords
    biological tissues; cancer; image enhancement; image resolution; mammography; medical image processing; wavelet transforms; breast cancer diagnosis; comparative study; digital image processing; digital mammogram contrast enhancement; digital mammogram dataset; enhancement method performance evaluation; image contrast enhancement; image resolution; mammogram detection efficiency; microcalcification enhancement; quantitative metrics; radiation doses; wavelet transform; Approximation methods; Correlation; Discrete wavelet transforms; Gain; Noise; Contrast enhancement; Image processing; Mammography; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
  • Conference_Location
    Lisboa
  • Print_ISBN
    978-1-4799-2920-7
  • Type

    conf

  • DOI
    10.1109/MeMeA.2014.6860058
  • Filename
    6860058