• DocumentCode
    3122413
  • Title

    Ultrasound Image Segmentation Based on the Anisotropic Diffusion Filtering

  • Author

    Deng, Yu ; Huang, Hua

  • Author_Institution
    Electr. Eng. & Inf. Coll., Sichuan Univ., Chengdu, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Clinical application of ultrasonic image is wide. This paper researched the speckle noise suppression and image segmentation. Anisotropic diffusion filter a new filter is used to suppress the speckles. The traditional diffusion coefficient of anisotropic diffusion filer is proposed by Perona and Malik. This paper presented an improved coefficient to adapt the ultrasound image. The result verified the improved coefficients can suppress the speckle noise very effective and retain texture information. After filtering, the ultrasound image segmentation is perfect.
  • Keywords
    biomedical ultrasonics; filtering theory; image denoising; image segmentation; image texture; medical image processing; anisotropic diffusion filtering; diffusion coefficient; image segmentation; speckle noise suppression; texture; ultrasound imaging; Anisotropic magnetoresistance; Educational institutions; Filtering; Filters; Image analysis; Image segmentation; Nonlinear equations; Smoothing methods; Speckle; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5516505
  • Filename
    5516505