Detection of Diabetic Retinopathy from Fundus Camera Images

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2015 by IJETT Journal
Volume-24 Number-4
Year of Publication : 2015
Authors : Sheeba O, Ajitha S. S.
DOI :  10.14445/22315381/IJETT-V24P233


Sheeba O, Ajitha S. S."Detection of Diabetic Retinopathy from Fundus Camera Images", International Journal of Engineering Trends and Technology (IJETT), V24(4),177-181 June 2015. ISSN:2231-5381. published by seventh sense research group

Diabetic Retinopathy is the major cause of adult blindness. We can prevent loss of vision if the disease is identified in the early stage itself. Also early detection of the disease is essential for preventing the progress of the disease. Examination of retinal vessels is the first step towards detection of the disease. Moreover segmentation of retinal vasculature helps in the diagnosis of many diseases like Hypertension, Arteriosclerosis etc. This paper presents segmentation of retinal vasculature by Gabor wavelet feature based kernel classifier (Support Vector Machine) and its use for detection of early symptoms of Diabetic Retinopathy. Performance evaluation is conducted using publicly available database DRIVE with reference to the manually segmented images given in the database. The performance of the classifiers are evaluated in terms of accuracy, sensitivity, specificity.


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Retina, Diabetic Retinopathy, Gabor Wavelet, Support Vector Machine.