Detection of Diabetic Maculopathy Using KNN Algorithm

Abstract:

: Diabetic Maculopathy (DM), the most common eye disease of the diabetic patients, arises once a small blood vessel gets impaired in the macula, due to high glucose level. It affects the patients who have diabetes for more than 5 years, which can also prime to vision loss. Recognition of diabetic maculoathy in advance, protects patients from vision loss. The major symptom of diabetic maculopathy is the presence of any lesions. Detecting macula diseases in an initial stage, supports the ophthalmologists apply accurate treatments that might eliminate the disease or decrease the severity of it. This paper focuses diabetic maculopathy identification through detecting lesions by extracting features through GLCM in colour fundus retinal images and also classifies the meticulousness of the lesions. Decision making of the harshness level of the infection was performed by KNN classifier

• Periodical: Applied Mechanics and Materials (Volume 573)
• Pages: 791-796
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.573.791
• Online since: June 2014
• Authors: R. Sukanesh, S. Murugeswari*
• Keywords: Diabetic Maculopathy, GLCM, K Nearest Neighbour (KNN) Classifier, Lesions

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