A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Article number4359077
Pages (from-to)237-246
Journal / PublicationIEEE Transactions on Medical Imaging
Volume27
Issue number2
Publication statusPublished - 2008

Abstract

In this paper, a method is proposed for detecting blood vessels in pathological retina images. In the proposed method, blood vessel-like objects are extracted using the Laplacian operator and noisy objects are pruned according to the centerlines, which are detected using the normalized gradient vector field. The method has been tested with all the pathological retina images in the publicly available STARE database. Experiment results show that the method can avoid detecting false vessels in pathological regions and can produce reliable results for healthy regions. © 2007 IEEE.

Research Area(s)

  • Blood vessel segmentation, Gradient vector field, Image segmentation, Retina image analysis