Enhanced Detection of Diabetic Retinopathy using Advanced Filters
Polaiah Bojja1, Sai Charan Reddy Potluri2, Vempati Ramya Reddy3, D S K S V L S N S Prema Sri4
1Polaiah Bojja, Professor, Department of (Electronics and Communication Engineering), KLEF, Guntur, India.
2Sai Charan Reddy Potluri, Department of (Electronics and Communication Engineering), KLEF, Guntur, India.
3Vempati Ramya Reddy, Department of (Electronics and Communication Engineering), KLEF, Guntur, India.
4D S K S V L S N S Prema Sri, Department of (Electronics and Communication Engineering), KLEF, Guntur, India,
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 4470-4474 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4030129219/2019©BEIESP | DOI: 10.35940/ijeat.B4030.129219
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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: Nowadays in India, diabetic patients are more increasing. The major issue with diabetic patients is Diabetic retinopathy which causes the loss of vision. For the ophthalmologist, it is very difficult to identify the diabetic retinopathy because of the low resolution of the eyes. For the specialists, it is easy to find the blood vessels in the retina to diagnose the many populations in a very short time. Various existing methods are used to find the abnormal retinal images of diabetic patients based on their image features. But the results are not that much accurate. In this paper, an enhanced image filter with local entropy thresholding for blood vessel extraction under different normal or abnormal conditions is proposed to improve the performance of the patient information.
Keywords: Diabetic retinopathy, Optimized filter, Local entropy thresholding.