Automatic detection of multiple oriented blood vessels in retinal images

Siddalingaswamy, PC and Prabhu, G K (2010) Automatic detection of multiple oriented blood vessels in retinal images. Journal Biomedical Science and Engineering, 3. pp. 101-107. ISSN 1937-688X

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Automatic segmentation of the vasculature in retinal images is important in the detection of diabetic reti-nopathy that affects the morphology of the blood ves-sel tree. In this paper, a hybrid method for efficient segmentation of multiple oriented blood vessels in colour retinal images is proposed. Initially, the ap-pearance of the blood vessels are enhanced and back-ground noise is suppressed with the set of real compo-nent of a complex Gabor filters. Then the vessel pixels are detected in the vessel enhanced image using en-tropic thresholding based on gray level co-occurrence matrix as it takes into account the spatial distribution of gray levels and preserving the spatial structures. The performance of the method is illustrated on two sets of retinal images from publicly available DRIVE (Digital Retinal Images for Vessel Extraction) and Hoover’s databases. For DRIVE database, the blood vessels are detected with sensitivity of 86.47±3.6 (Mean±SD) and specificity of 96±1.01

Item Type: Article
Additional Information: Copyright © 2010 Scientific Research Publishing Inc. All rights reserved
Uncontrolled Keywords: Blood Vessel Segmentation;Gabor Filter;Co-Occurence Matrix; Diabetic Retinopathy
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 25 Apr 2011 06:23
Last Modified: 17 Jun 2011 04:13

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