UM
Locating vessel centerlines in retinal images using wavelet transform: A multilevel approach
You X.3; Fang B.3; Tang Y.Y.3; He Z.1; Huang J.1
2005-10-31
Source PublicationLecture Notes in Computer Science
Volume3644
IssuePART I
Pages688-696
AbstractIdentifying center lines of vessels in the retinal image is helpful to provide useful information in diagnosis of eye diseases and early signs of systemic disease. This paper presents a novel thinning method based on the wavelet transform with a multilevel scheme. The development of the method is inspired by the favorable characteristics of wavelet transform moduli. Mathematical analysis is given to show that the vessel edge and centerline can be detected efficiently by computing the maxima and minima of wavelet transform moduli. The implementation is performed by applying various scale sizes of the wavelet transform to thin the multiple-pixel-wide ribbon-like vessel gradually to be one-pixel-wide centerline. Experiment results show that the identified centerline of vascular trees are accurate by visual inspection and are useful for further applications. © Springer-Verlag Berlin Heidelberg 2005.
URLView the original
Language英語English
Fulltext Access
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Hong Kong Baptist University
2.Chongqing University
3.Hubei University
Recommended Citation
GB/T 7714
You X.,Fang B.,Tang Y.Y.,et al. Locating vessel centerlines in retinal images using wavelet transform: A multilevel approach[C],2005:688-696.
APA You X.,Fang B.,Tang Y.Y.,He Z.,&Huang J..(2005).Locating vessel centerlines in retinal images using wavelet transform: A multilevel approach.Lecture Notes in Computer Science,3644(PART I),688-696.
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