Segmentation of Retinal Vasculature in Colour Fundus Images

Characteristic of retinal vasculature has
been an important indicator for many diseases such as
hypertension and diabetes. A digital image analysis
system can assist medical experts to make accurate
diagnosis in an efficient manner. This paper presents
the computer based approach to the automated
segmentation of blood vessels in retinal images. The
detection of the retinal vessel is achieved by performing
image enhancement using CLAHE followed by Bottom-
hat morphological transformation. Active contour model
(snake) is then used to segment out the detected retinal
vessel and produce a complete retinal vasculature. A
Graphic User Interface (GUI) has also been created to
ease the user for the segmentation of the retinal
vasculature.