• DocumentCode
    2868350
  • Title

    A Novel Method of Detecting Calcifications from Mammogram Images Based on Wavelet and Sobel Detector

  • Author

    Li, Kai-Yang ; Dong, Zheng

  • Author_Institution
    Lab. of Biophys. & Biomedical Eng., Wuhan Univ.
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    1503
  • Lastpage
    1508
  • Abstract
    Mammography is the most widely used and the most efficient method for detection of breast cancer. In which, calcifications are the most important signs of breast cancers. In order to help the radiologist read the mammograms more efficiently, detection of calcifications becomes a significant problem for the computer-aid diagnosis. A novel method of detecting calcifications from mammogram images based on wavelet transformation and Sobel detector, is introduced in this paper. A wavelet based image enhancement technique and the Sobel gradient operator are used consequently, to distinguish the calcifications from the breast tissues
  • Keywords
    cancer; image enhancement; mammography; medical image processing; wavelet transforms; Sobel detector; breast cancer detection; calcifications detection; computer-aid diagnosis; image enhancement technique; mammogram images; mammography; wavelet detector; wavelet transformation; Automation; Breast cancer; Breast tissue; Cancer detection; Detectors; Diseases; Filters; Laboratories; Mammography; Mechatronics; Mammogram; Sobel detector; calcification; wavelet-based enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
  • Conference_Location
    Luoyang, Henan
  • Print_ISBN
    1-4244-0465-7
  • Electronic_ISBN
    1-4244-0466-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2006.257397
  • Filename
    4026312