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Image Analysis Technique for Detecting Diapetic Retinopathy
| International Conference on Research Trends in Computer Technologies 2013 |
| Foundation of Computer Science USA |
| ICRTCT - Number 1 |
| February 2013 |
| Authors: R. Priya, P. Aruna, R. Suriya |
| 1dcdbd7d-3fd2-4013-8fae-fe11f8baf53e |
R. Priya, P. Aruna, R. Suriya . Image Analysis Technique for Detecting Diapetic Retinopathy. International Conference on Research Trends in Computer Technologies 2013. ICRTCT, 1 (February 2013), 34-38.
Abstract
Diabetic Retinopathy is an eye disease, DR is the leading cause of the blindness in the working age population. If the disease is detected early and treated promptly many of the visual loss can be prevented. DR occurs in one of the two types,1. Non-proliferative Diabetic Retinopathy(NPDR), 2. Proliferative Diabetic Retinopathy(PDR). This paper describes the development of an automatic fundus image processing and analytic system to facilitate diagonosis of the opthalmologis. Detection of DR disease is done using Radial Basis Function Neural Network (RBFNN) method and the two types are classified and diagnosed successfully. The accuracy of the proposed system is 76. 25%.
References
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