The multi–scale Frangi vesselness filter is an established tool in (retinal) vascular imaging. However, it cannot properly cope with crossings or bifurcations since it only looks for elongated structures. Therefore, we disentangle crossings/bifurcations via (multiple scale) invertible orientation scores and apply vesselness filters in this domain. This new method via scale–orientation scores performs considerably better at enhancing vessels throughout crossings and bifurcations than the Frangi version. Both methods are evaluated on a public dataset. Performance is measured by comparing ground truth data to the segmentation results obtained by basic thresholding and morphological component analysis of the filtered images.


Multi-scale vesselness filters continuous wavelet transforms line detection gauge frames retinal imaging 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Julius Hannink
    • 1
  • Remco Duits
    • 1
  • Erik Bekkers
    • 1
  1. 1.Department of Biomedical Engineering and Department of Mathematics and Computer ScienceEindhoven University of TechnologyEindhovenThe Netherlands

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