Feature extraction for classification from images: a look at the retina.
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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Official URL: http://dx.doi.org/10.1109/UMC.2008.27
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)|
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|Deposited By:||Dr Raymond Williams|
|Deposited On:||31 Mar 2009 12:16|
|Last Modified:||31 Mar 2009 12:18|
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