title: Scale-invariant vesselness filtering for simultaneous extraction of optimal medial and boundary paths in retinal images.
abstract: In this paper we present a new multiscale vesselness filtering technique to simultaneously compute optimal medial axes and boundaries on fundus images of the retina. The scale-invariance of the vessel cross-sectional profile in the frequency domain is examined, and phase congruency implementing the scale-invariance is utilised for multiscale vesselness filtering. This allows the vessel ridge and boundary evidence to be preserved under single filtering settings. We have performed width measurement experiments on a dataset of fundus images, using an optimal medial axis skeletonisation scheme as a post-processing step, to compare the proposed technique with a generalised Gaussian profile modelling approach.
authors.affiliation: Department of Computer Science, Loughborough University, Loughborough, UK.
authors.forename: Tao
authors.initials: T
authors.lastname: Zhu
authors.forename: Gerald
authors.initials: G
authors.lastname: Schaefer
mesh_terms: D005583:Fourier Analysis; D006801:Humans; D012160:Retina / Q000502:physiology*; D012171:Retinal Vessels / Q000502:physiology*