Blood vessel segmentation using moving-window robust automatic threshold selection

M.H.F. Wilkinson, T. Wijbenga, G. Vries, de, M.A. Westenberg

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    18 Citations (Scopus)


    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.
    Original languageEnglish
    Title of host publicationProceedings IEEE Conference on Image Processing (ICIP 2003, Barcelona, Spain, September 14-17, 2003)
    PublisherInstitute of Electrical and Electronics Engineers
    ISBN (Print)0-7803-7750-8
    Publication statusPublished - 2003

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