In this paper an algorithm is proposed for detection of severity of Diabetic Macular Edema (DME) from Retinal Images, which are invariant to image rotation. The proposed work includes detection of optic disc, macula, exudates, region of interest localization and a level indicator which indicates the severity of disease as severe, moderate or normal DME. Rotation Invariant detection of macula makes this method efficient. A set of NPDR data of fundus image of an eye is used to test the proposed algorithm. The results show a better comprehensive performance of disease severity checker and computationally efficient.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 firstname.lastname@example.org
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 email@example.com