IJRE – Volume 5 Issue 4 Paper 5

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IMAGE SEGMENTATION IDENTIFICATION FOR EXUDATE DETECTION USING DIABETIC RETINOPATHY

Author’s Name :  Reshma Cr | S Nikilla

Volume 05 Issue 04  Year 2018  ISSN No:  2349-252X  Page no: 17-20

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Abstract:

From the observation of past 10 years medical report, about 30% of patients with diabetic acquired great hazard of eye disease. Severe stage of diabetics may cause damage in retina blood vessels. The affected blood vessel further may produce loss of blood and another lymphatic. The swelling on retinal tissue leads to Diabetic Retinopathy (DR). Serious stage of DR leads to blindness. Early detection is essential for the prevention of blindness. Automatic detection is carried by various techniques such as pre-processing, feature extraction, exudates segmentation and classification of exudates are performed using different approaches. This paper describes various method and algorithm implemented for the early detection of Diabetic Retinopathy (DR).

Keywords:

Diabetic Retinopathy (DR), Hard Exudates, Fundus Images, Support Vector Machine (SVM)

References:

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