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Retinal Vessel Extraction with the Image Ray Alastair H. Cummings and Mark S. Nixon
 

Summary: Retinal Vessel Extraction with the Image Ray
Transform
Alastair H. Cummings and Mark S. Nixon
{ahc08r,msn}@ecs.soton.ac.uk
University of Southampton, Southampton, SO17 1BJ, UK
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 perfor-
mance 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.
1 Introduction
Automated detection of blood vessels within eye fundus images is an important
step in aiding diagnosis of a number of diseases, diabetic retinopathy in par-
ticular. The possible application of vision techniques to this problem was first

  

Source: Anderson, Jim - School of Mathematics, University of Southampton

 

Collections: Mathematics