Analyzing the Severity of the Diabetic Retinopathy and Its Preventive Measures by Maintaining Database using Gui In Matlab
Anil Kumar Neelapala1, Mehar Niranjan Pakki2
1Neelapala Anil Kumar, Department of Electronics & Communication Engineering, Vignan’s Institute of Information Technology, Visakhapatnam (A.P), India.
2Mehar Niranjan Pakki, Department of Electronics & Communication Engineering, Vignan’s Institute of Information Technology, Visakhapatnam (A.P), India.
Manuscript received on 18 August 2012 | Revised Manuscript received on 25 August 2012 | Manuscript published on 30 August 2012 | PP: 131-136 | Volume-1 Issue-3, August 2012 | Retrieval Number: C0273071312/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Diabetic-related eye disease is a major cause of blindness in the world. It is a complication of diabetes which can also affect various parts of the body. When the small blood vessels have a high level of glucose in the retina, the vision will be blurred and can cause blindness eventually, which is known as diabetic retinopathy. Regular screening is essential to detect the early stages of diabetic retinopathy for timely treatment and to avoid further deterioration of vision. This project aims to detect the presence of abnormalities in the retina such as the structure of blood vessels, micro aneurysms and exudates using image processing techniques by automating the detection of Diabetic retinopathy (DR). This Process is achieved by the fundus images using morphological processing techniques to extract features such as blood vessels, micro aneurysms and exudates and then we calculate the area of each extracted feature. Depending on the area of each feature we classify the severity of the disease. Then finally by knowing the severity of the disease corresponding treatment measures can be analyzed. In addition to this, well established database have been developed regarding the disease analysis of patients which is implemented using GUI in MATLAB. It will surely help to reduce the risk and increase efficiency for ophthalmologists.
Keywords: Diabetic Retinopathy, Exudates, Fundus Camera, Micro-aneurysms, Morphological Operations, Segmentation.
Scope of the Article: Visual Analytics