• DocumentCode
    3326240
  • Title

    Breast extraction scheme for mammograms using GVF-Snake

  • Author

    Liu, Chen-Chung ; Tsai, Chung-Yen ; Yu, Shyr-Shen

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan
  • Volume
    1
  • fYear
    2010
  • fDate
    5-7 May 2010
  • Firstpage
    248
  • Lastpage
    251
  • Abstract
    Accurately Extracting the breast region from a mammogram is one of the most important keys for breast mass analysis. This paper uses the median filtering, morphological erosion processing, Sobel edge detector, and thresholding to find a original breast boundary, then uses the gradient vector flow snake (GVF-Snake) with gradient map adjustment to get the accurate breast boundary. The presented algorithm is tested on the digital mammograms from the Mammogram Image Analysis Society (MIAS) database. The experimental results show that the breast region extracted by the presented algorithm approximately follows that extracted by an expert radiologist.
  • Keywords
    cancer; edge detection; image segmentation; mammography; median filters; medical image processing; GVF-Snake; Sobel edge detector; breast extraction scheme; digital mammograms; gradient map adjustment; gradient vector flow snake; mammogram image analysis society database; median filtering; morphological erosion processing; Automatic control; Breast cancer; Computer science; Detectors; Filtering algorithms; Flowcharts; Histograms; Image edge detection; Pixel; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication Control and Automation (3CA), 2010 International Symposium on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4244-5565-2
  • Type

    conf

  • DOI
    10.1109/3CA.2010.5533840
  • Filename
    5533840