Optic Nerve Head Segmentation Using Hough Transform and Active Contours
Abstract: Optic nerve head is
part of the retina where ganglion cell axons exit the eye to form the optic
nerve. Glaucomatous changes related to loss of the nerve fibers decrease the
neuroretinal rim and expand the area and volume of the cup. Therefore optic
nerve head evaluation is important for early diagnosis of glaucoma. This study
implements the detection of the optic nerve head in retinal fundus images based
on the Hough Transform and Active Contour Models. The process starts with the
image enhancement using homomorphic filtering for illumination correction, then
proceeds with the removal of blood vessels on the image to facilitate the
subsequent segmentation process. The result of the Hough Transform fitting
circle becomes the initial level set for the active contour model. The
experimental results show that the implemented segmentation algorithms are
capable of segmenting optic nerve head with the average accuracy of 75.56%
using 30 retinal images from the DRIVE database.
Author: Handayani Tjandrasa,
Ari Wijayanti, Nanik Suciati
Journal Code: jptkomputergg120079