Retinal vessel extraction with the image ray transform

Authors:
Alastair H. Cummings;Mark S. Nixon
Affiliations:
University of Southampton, Southampton, UK;University of Southampton, Southampton, UK
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Year:
2010

Citing 7
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The image ray transform for structural feature detection

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Abstract

Extraction of blood vessels within the retina is an important task that can help in detecting a number of diseases, including diabetic retinopathy. Current techniques achieve good, but not perfect performance and this suggests that improved preprocessing may be needed. The image ray transform is a method to highlight tubular features (such as blood vessels) based upon an analogy to light rays. The transform has been employed to enhance retinal images from the DRIVE database, and a simple classification technique has been used to show the potential of the transform as a preprocessor for other supervised learning techniques. Results also suggest potential for using the ray transform to detect other features in the fundus images, such as the fovea and optic disc.