Blood vessel segmentation using moving-window robust automatic threshold selection
Wilkinson, M.H.F.
Wijbenga, T.
de Vries, G.
Westenberg, M.A.
Inst. of Math. & Comput. Sci., Groningen Univ., Netherlands;
This paper appears in: Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Publication Date: 14-17 Sept. 2003
Volume: 2,
On page(s): II- 1093-6 vol.3
ISSN: 1522-4880
ISBN: 0-7803-7750-8
INSPEC Accession Number: 7978717
Digital Object Identifier: 10.1109/ICIP.2003.1246876
Current Version Published: 2003-11-24
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.
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