Extraction of Non Proliferative Diabetic retinopathy using new designed wavelet and classification using KNN classifier
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 12
Abstract
Diabetic retinopathy is very serious condition in which increased blood sugar level causes swelling in the blood vessels and it may leak in to the retina. It is the effect of diabetes on the eye. There are four stages of diabetic retinopathy that are Mild non-proliferative diabetic retinopathy, Moderate non-proliferative diabetic retinopathy, severe non-proliferative diabetic retinopathy, Proliferative diabetic retinopathy. In this paper we have done the extraction of non-proliferative diabetic retinopathy. We have extracted microaneurysms and exudates using new designed wavelet (DR), and classification is done using KNN classifier. KNN classifier classifies in to four classes that are mild, moderate, severe, and healthy. For this work we have used three publically available fundus image databases that are DIARETDB0, DIARETDB1 and STARE databases having 130, 89, and 397 fundus images respectively. Using this technique we have got 99.03% accuracy for detection of NPDR.
Authors and Affiliations
Deepali D. Rathod, Ramesh R. Manza, Yogesh M. Rajput, Manoj Saswade, Neha Deshpande
Keywords
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- EP ID EP393012
- DOI 10.9790/9622-0712040613.
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