Identification of Retinopathy Disease using Image Enhancement
Pydipala Laxmikanth1, Bhramaramba Ravi2
1Pydipala Laxmikanth, Pursuing Ph.D Degree in GIT, GITAM DEEMED to BE University, Visakhapatnam.
2Dr. Bhramaramba Ravi, Professor, Dept. of IT, GIT, GITAM, and Visakhapatnam.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 4745-4748 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2048109119/2019©BEIESP | DOI: 10.35940/ijeat.A2048.109119
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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: Among the various after affects of prolonged diabetes Diabetic Retinopathy is one of the diseases that get triggered. The number patients with disease are increasing enormously and there methodologies need to be developed for early detection of the disease. The main cause for this disease is the high blood sugar levels which affects of the blood vessels of retina and there by leading towards blindness. Therefore in this article it reports a methodology based on linear discriminant analysis to combat the disease. The accuracy is estimated using precision and recall, linear discriminant analysis
Keywords: Diabetes retinopathy, linear discriminant analysis, retina, Blood pressure, and Diabetes mellitus.