• DocumentCode
    2335642
  • Title

    Human visual system based mammogram enhancement and analysis

  • Author

    Zhou, Yicong ; Panetta, Karen ; Agaian, Sos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA
  • fYear
    2010
  • fDate
    7-10 July 2010
  • Firstpage
    229
  • Lastpage
    234
  • Abstract
    This paper introduces a new mammogram enhancement algorithm using the human visual system (HVS) based image decomposition. A new enhancement measure based on the second derivative is also introduced to measure and assess the enhancement performance. Experimental results show that the presented algorithm can improve the visual quality of fine details in mammograms. The HVS-based image decomposition can segment the regions/objects from their surroundings. It offers the users flexibility to enhance either sub-images containing only significant illumination information or all the sub-images of the original mammograms. The algorithm can be used in the computer-aided diagnosis systems for breast cancer detection.
  • Keywords
    cancer; image enhancement; image resolution; mammography; medical image processing; HVS based image decomposition; breast cancer detection; computer-aided diagnosis system; human visual system; illumination information; mammogram analysis; mammogram enhancement; Artificial neural networks; Humans; Image resolution; Image segmentation; Lighting; Pixel; HVS-based image decomposition; Mammogram enhancement; breast cancer detection; nonlinear filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing Theory Tools and Applications (IPTA), 2010 2nd International Conference on
  • Conference_Location
    Paris
  • ISSN
    2154-5111
  • Print_ISBN
    978-1-4244-7247-5
  • Type

    conf

  • DOI
    10.1109/IPTA.2010.5586759
  • Filename
    5586759