Diabetic Retinopathy Detection using Image Processing (GUI)
R. Subhashini1, T. N. R.Nithin2, U. M. S. Koushik3
1R. Subhashini, Department of Computing, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
2T. N. R. Nithin, Department of Computing, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
3U. M. S. Koushik, Department of Computing, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 19 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 538-542 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B10970782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1097.0782S319
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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 Retinopathy is a major disease that has affected over 290 million people globally and 69.2 million people in India, the rate of people getting affected will increase exponentially in the coming years. Diabetic Retinopathy is an ailment linked to the fundus of the eye and can have adverse effects on the patient, if at all left undiagnosed respectively. Our project aims to construct a graphical user interface that can integrate image processing techniques together in order to predict whether the input fundus/retinal image received from the patient is affected with Diabetic Retinopathy or not; if affected, the graphical user interface will display the severity along with the required action needed to be undertaken by the user / patient. This essentially reduces the processing time involved in the process of detecting the disease and also the ophthalmologists can also have our graphical user interface as a backup that can be used for validating or assist in detecting the disease.
Keywords: Diabetic Retinopathy, Graphical user Interface, Image Processing, Fundus Analysis, Retinal Ailment Detection.
Scope of the Article: Image Security