Fast retinal vessel tree extraction: A pixel parallel approach

C. Alonso-Montes, D. L. Vilariño, P. Dudek, M. G. Penedo

    Research output: Contribution to journalArticlepeer-review


    Early ocular disease diagnosis is an important field in medical research. From the image processing point of view, many strategies and algorithms have been developed to deal with the extraction of the retinal vessel tree. Although reliable and accurate results have been obtained, the main disadvantage in most of these proposals is the high computation effort required. In this paper, a methodology to extract the retinal vessel tree has been developed and tested in a fine-grain pixel-parallel processor array. An analysis of the execution time has been made to demonstrate its capabilities regarding the computation speed. Moreover, an analysis of the accuracy using a publicly available database has been made to validate the algorithm performance. Copyright © 2008 John Wiley & Sons, Ltd.
    Original languageEnglish
    Pages (from-to)641-651
    Number of pages10
    JournalInternational Journal of Circuit Theory and Applications
    Issue number5-6
    Publication statusPublished - Jul 2008


    • Active contours
    • Cellular arrays
    • Parallel processing
    • Vessel segmentation


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