• DocumentCode
    2306699
  • Title

    Blood vessel segmentation using moving-window robust automatic threshold selection

  • Author

    Wilkinson, Michael H F ; Wijbenga, Tsjipke ; De Vries, Gijs ; Westenberg, Michel A.

  • Author_Institution
    Inst. of Math. & Comput. Sci., Groningen Univ., Netherlands
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Sept. 2003
  • Abstract
    Two moving-window methods, using either flat or Gaussian weighted windows, for local thresholding with robust automatic threshold selection are developed. The results show that fast segmentation of blood vessels against a varying background and noise is possible at modest computational cost. Volumes of 128 x 2562 and 2563 can be segmented in 3.1 s and 6.6 s, for flat, and 12.6 s and 30.8 s for Gaussian windows, respectively, on a 1.9 GHz Pentium 4.
  • Keywords
    blood vessels; image segmentation; medical image processing; Gaussian weighted windows; blood vessel segmentation; flat weighted windows; moving-window robust automatic threshold selection; Background noise; Biomedical imaging; Blood vessels; Detectors; Image edge detection; Image segmentation; Mathematics; Noise reduction; Noise robustness; Rats;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7750-8
  • Type

    conf

  • DOI
    10.1109/ICIP.2003.1246876
  • Filename
    1246876
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2306699