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Diabetic retinopathy diagnosis using image processing methods


Advances in Obesity, Weight Management & Control
Ali Bakhshi,3,6 Kobra Hajizadeh,1,3,4,5 Mohammad Reza Tanhayi,2,3,5 Reza Jamshidi1,3,5

Abstract

Diabetes mellitus is common disease nowadays which could cause blindness. Earlier detection of diabetes signs from retina fundus images could help predicting and preventing the damages. Image processing methods could process the matrix data of pictures as blood vessel segmentation and exudate detection. In this research, the CLAHE algorithm with morphological transformations are used to blood vessel segmentation and determination of the Hessian matrix of images are utilized to detect the exudate blobs. 

Keywords

image processing, diabetic retinopathy, blood vessel, exudate

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