Classification of Diabetic Retinopathy Patients using Morphological Process
V.Raja Manikanta Prakash1, J.Hima Bindu2, N.Rahul3, T.Sajana4
1Vutla Raja Manikanta Prakash, Student, Department CSE, BTech, Koneru Lakshmaiah Education Foundation, Guntur, India.
2Jammula Hima Bindu, Student, Department Of CSE, BTech, Koneru Lakshmaiah Education Foundation, Guntur, India.
3Neerukattu Rahul, Student, Department Of CSE, BTech, Koneru Lakshmaiah Education Foundation, Guntur, India.
4Tiruveedhula Sajana, Department Of CSE, Associate Professor, Koneru Lakshmaiah Education Foundation, Guntur, India.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5269-5273 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9408038620/2020©BEIESP | DOI: 10.35940/ijrte.F9408.038620
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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: The diagnosing of diabetic retinopathy (DR) through shading structure photos needs significance of the many tiny that alongside advanced grading system makes this troublesome and long task. Diabetic Retinopathy is associate inconvenience of polygenic disorder that’s caused attributable to the changes within the veins of the tissue layer. This is often one in every of the numerous reasons for visual deficiency. Diabetic Retinopathy is thus far treated by medical specialist that could be a time-taking procedure. Diabetic retinopathy is that the fastest developing reason for handicap. Thus, by taking some eye tissue layer photos, see able of that photos can find that whether the patient could be a diabetic or a non-diabetic. We will acknowledge the diabetic addicted to eye tissue layer photos utilizing some AI applications. Some of the creators used CNN, k-means that means. In this work, proposing that to enhance the truth utilizing morphological techniques.
Keywords: Diabetic Retinopathy, Classification, Detecting Effected Portion.
Scope of the Article: Classification.