• DocumentCode
    3274379
  • Title

    A microcalcification enhancement method for mammogram images

  • Author

    Tay, Peter C. ; Hongda Shen ; Adams, Robert D. ; Zhang, James Z.

  • Author_Institution
    Dept. of Eng. & Technol., Western Carolina Univ., Cullowhee, NC, USA
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    1232
  • Lastpage
    1236
  • Abstract
    This paper proposed a novel method to enhance mammogram images used in detecting early signs of breast cancer. The proposed method uses a three level pyramid decomposition scheme that applies the squeeze box filter (SBF) instead of low-pass filtering. A previously proposed non-linear local enhancement technique is applied to the difference images to contrast enhance the structural details of a mammogram image. The enhanced mammogram image is reconstructed by adding the enhanced difference images to the original SBF processed image. The experiment and preliminary results reported in this paper provide evidence of beneficial enhancements provided by the proposed method on mammographic images.
  • Keywords
    cancer; filtering theory; gynaecology; image enhancement; mammography; medical image processing; SBF processed image; breast cancer; difference images; mammogram image; mammographic images; microcalcification enhancement method; nonlinear local enhancement technique; squeeze box filter; three level pyramid decomposition scheme; Breast cancer; Delta-sigma modulation; Image edge detection; Noise; Visualization; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738254
  • Filename
    6738254