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Cup Segmentation by Gradient Method for the Assessment of Glaucoma from Retinal Image

Author(s): Rupesh Ingle#1 , Pradeep Mishra

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 6;
Start page: 2541;
Date: 2013;
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Keywords: Cup | glaucoma | gradient | optic disk(OD) | retinal images.

Automatic analysis of retinal images is emerging as an important tool for early detection of eye diseases. Glaucoma is one of the main causes of blindness in recent times. Deformation of Optic Disk (OD) and the Cup (inside the Optic Disk) is important parameter for glaucoma detection. The detection of OD manually by experts is a standard procedure for this. There have been efforts for OD segmentation but very few methods for the cup segmentation. Finding the cup region helps in finding the cup-to-disk (CDR) which is also an important property for identifying the disease. In this paper, we present an automatic cup region segmentation method based on gradient method. The method has been evaluated on dataset of images taken from random images from different sources. The segmentation results obtained shows consistency on handling photometric and geometric variations found across the dataset. Overall, the obtained result show effectiveness in segmentation of the cup in the process of glaucoma assessment.
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