• DocumentCode
    2024082
  • Title

    Retinal vessel tracking using bilateral filter based on Canny method

  • Author

    Sun, Xiaolin ; Chai, Zhenhua ; Miao, Chuang ; Jiang, Yonghang ; Duan, Zhao Y. ; Wang, Ling G. ; Chang, Samuel H.

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Jilin Univ., Changchun, China
  • fYear
    2010
  • fDate
    23-25 Nov. 2010
  • Firstpage
    1678
  • Lastpage
    1682
  • Abstract
    This paper presents a new method to measure retinal blood vessel with sub-pixel accuracy. The method is based on a modified Canny edge detection method with a bilateral filter. There are three stages of the method. First, the bilateral filter is used to remove the vessel background noises, and then the Canny detector is used to detect all vessel edges. Second, vessel sample profiles crossed vessel boundaries are obtain based on Canny edges. Third, the new vessel positions are measured from the Gaussian fits of the sample profiles. The validation of the method is tested by real images with outputs of the vessel walls and center lines in sub-pixel accuracy.
  • Keywords
    Gaussian distribution; blood vessels; edge detection; filtering theory; image segmentation; Canny edge detection; Gaussian fits; bilateral filter; crossed vessel boundaries; retinal blood vessel; retinal vessel tracking; sub-pixel accuracy; vessel background noise; vessel sample profile; Biomedical imaging; Blood vessels; Image edge detection; Matched filters; Pixel; Retinal vessels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio Language and Image Processing (ICALIP), 2010 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-5856-1
  • Type

    conf

  • DOI
    10.1109/ICALIP.2010.5685127
  • Filename
    5685127