Diabetic Retinopathy Detection using Image Processing
R. Naveen1, S. A. Siva Kumar2, B. Maruthi Shankar3, A. Keerthana Priyaa4
1Dr. R. Naveen, Professor and Principal, K.V. Subba Reddy College of Engineering for Women, Kurnool (A.P), India.
2Dr. S.A. Siva Kumar, Professor and Head, Department of ECE, K.V. Subba Reddy College of Engineering for Women, Kurnool (A.P), India.
3Dr. B. Maruthi Shankar, Associate Professor, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
4A. Keerthana Priyaa, PG Scholar, Info Institute of Engineering, Coimbatore (Tamil Nadu), India.
Manuscript received on 18 August 2019 | Revised Manuscript received on 29 August 2019 | Manuscript Published on 06 September 2019 | PP: 937-941 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F11790886S19/19©BEIESP | DOI: 10.35940/ijeat.F1179.0886S19
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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 main objective of this method is to detect DR (Diabetic Retinopathy) eye disease using Image Processing techniques. The tool used in this method is MATLAB (R2010a) and it is widely used in image processing. This paper proposes a method for Extraction of Blood Vessels from the medical image of human eye-retinal fundus image that can be used in ophthalmology for detecting DR. This method utilizes an approach of Adaptive Histogram Equalization using CLAHE (Contrast Limited Adaptive Histogram Equalization) algorithm with open CV (Computer Vision) framework implementation. The result shows that affected DR is detected in fundus image and the DR is not detected in the healthy fundus image and 98% of Accuracy can be achieved in the detection of DR.
Keywords: Adaptive Histogram Equalization, CLAHE (Contrast Limited Adaptive Histogram Equalization), DR (Diabetic Retinopathy), Image Processing.
Scope of the Article: Image Security