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Research Report CS-RR-385
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Li Wang and Abhir Bhalerao,
Detecting Branching Structures using Local Gaussian Models
(November 26, 2001).
Abstract
This report presents a method of detecting branching structure,
such as blood vessels from retinal images, using a Gaussian Intensity
model. Features are modelled with a Gaussian function parameterised by
position, orientation and variance within some spatial window. Multiple
features are modelled using a superposition of Gaussian models. A
non-parametric classifier (k-means) is used to cluster components
corresponding to each feature. Two different groups of images are used
to test the methodology: artificial images and images of the human retina.
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cs-rr-385.ps.gz
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