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

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2013 by IJETT Journal
Volume-4 Issue-6                      
Year of Publication : 2013
Authors : Rupesh Ingle , Pradeep Mishra


Rupesh Ingle , Pradeep Mishra."Cup Segmentation by Gradient Method for the Assessment of Glaucoma from Retinal Image". International Journal of Engineering Trends and Technology (IJETT). V4(6):2540-2543 Jun 2013. ISSN:2231-5381. published by seventh sense research group.


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 Opti c 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 segmentati on. 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 segment ation of the cup in the process of glaucoma assessment.


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Cup , glaucoma, gradient, optic disk(OD), retinal images.