Manuscript Number : IJSRST1848253
Detection of Lesions and Classification of Diabetic Retinopathy
Authors(2) :-Anjali. A. Kunghatkar, Dr. Prof. M. S. Panse According to the increasing consumption of sugar materials in human life and growing trend of the machine life, the prevalence of diabetes is on the rise. It is observed all patients with this disease mostly suffer from decrease or loss their vision. Detection of diabetic retinopathy in early stage is essential to avoid complete blindness. The retinal fundus images of the patients are procured by capturing the fundus of the eye with a digital fundus camera. The abnormalities in retinal fundus images due to DR are lesions which includes Microaneurysms and Haemorrhages. The proposed method is to detect the abnormalities in retinal fundus image is based on dynamic shape features and SVM classifier. In this study the Gaussian filter is used to enhance images and separate vessels with a high brightness intensity distribution. In this study canny’s edge detector is used for detection of Lesions and features are extracted. SVM is used for classification of DR as NPDR or PDR.
Anjali. A. Kunghatkar Fundus image, Lesions, Gaussian Filter, Canny edge detector, Support Vector Machine (SVM), NPDR & PDR. Publication Details
Published in : Volume 4 | Issue 8 | May-June 2018 Article Preview
Student, M.Tech Electronics and Telecommunication, Veermata Jijabai Technological Institute, Mumbai, India
Dr. Prof. M. S. Panse
Professor Department of Electrical Engineering, Veermata Jijabai Technological Institute, Mumbai, India
Date of Publication : 2018-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 702-707
Manuscript Number : IJSRST1848253
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST1848253
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