• DocumentCode
    284899
  • Title

    Morphology on detection of calcifications in mammograms

  • Author

    Zhao, Dongbin ; Shridhar, M. ; Daut, D.G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI
  • Volume
    3
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    129
  • Abstract
    Detection of calcification in mammograms is analyzed based on mathematical morphology. A method of adaptively thresholding gray-level mammogram images is discussed. The threshold set is controlled by the index numbers in the skeleton of shapes which represent calcifications in mammograms. The parameters of the adaptive threshold sets are obtained from interpreting umbra shadows from an image function. The objective is to extract the suspicious areas from a mammogram and provide location information on certain predefined shapes and sizes of calcifications to radiologists for further examination
  • Keywords
    diagnostic radiography; mathematical morphology; medical image processing; set theory; adaptive threshold sets; calcifications; image function; location information; mammograms; mathematical morphology; umbra shadows; Biomedical imaging; Breast; Cancer; Casting; Data mining; Image analysis; Image processing; Morphology; Shape control; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226259
  • Filename
    226259