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Blood vessel segmentation using moving-window robust automatic threshold selection

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4 Author(s)
Wilkinson, M.H.F. ; Inst. of Math. & Comput. Sci., Groningen Univ., Netherlands ; Wijbenga, T. ; de Vries, G. ; Westenberg, M.A.

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.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:2 )

Date of Conference:

14-17 Sept. 2003