A Comprehensive Review of Early Detection of Diabetic Retinopathy from Digital Fundus Images

International Journal of Computer Trends and Technology (IJCTT)          
© 2014 by IJCTT Journal
Volume-15 Number-1
Year of Publication : 2014
Authors : Padmalal S , Dr. Nelson Kennedy Babu C
DOI :  10.14445/22312803/IJCTT-V15P101


Padmalal S , Dr. Nelson Kennedy Babu C."A Comprehensive Review of Early Detection of Diabetic Retinopathy from Digital Fundus Images". International Journal of Computer Trends and Technology (IJCTT) V15(1):1-10, Sep 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The effects of the eye abnormalities are mostly gradual in nature which shows the necessity for an accurate abnormality identification system. Abnormality in retina is one among them. Most of the ophthalmologists depend on the visual interpretation for the identification of the types of diseases. But, inaccurate diagnosis will change the course of treatment planning which leads to fatal results. Hence, there is a requirement for a bias free automated system which yields highly accurate results. In this paper, we are classifying normal and abnormal retina. . We first present an summary of diabetic retinopathy and its causes. Then, a literature review of the maximum current automatic detection of diabetic retinopathy techniques is offered. Explanation and restrictions of retina databases which are used to test the performance of these detection algorithms are given. Here we project a vital assessment of the current researches associated with the retinopathy detection process. In this paper, we present a wide review of major researches on disease detection process based on various features.

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Gabor filtering, Adaptive histogram equalization, optic disk measurement, RGB segmentation, OCT, Skeletonization, Vein diameter measurement.