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Feature extraction for classification from images: a look at the retina.

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Chui, FCF and Williams, RN and Bindoff, IK and Kang, BH (2008) Feature extraction for classification from images: a look at the retina. In: 2008 International Symposium on Ubiquitous Multimedia Computing, 13 - 15 October, 2008, Hobart, Tasmania.

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Abstract

A method is proposed for the representation of localised features using disjoint sub-images taken from several datasets of retinal images for use within an incremental learning system. A tile-based localised adaptive threshold selection method was taken for vessel segmentation based on separate colour components. Arteriole-venous differentiation was done using the composite of these components and high quality fundal images. Vessel segmentation performance was evaluated on the DRIVE and STARE datasets achieving average specificity of 0.9379 and sensitivity of 0.5924.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Date Deposited: 31 Mar 2009 01:16
Last Modified: 18 Nov 2014 03:57
URI: http://eprints.utas.edu.au/id/eprint/8540
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