As digital imaging and computing power increasingly develop, so too does the potential to
use these technologies in ophthalmology. Image processing, analysis and computer vision …

This work examined recent literature on digital image processing in the field of diabetic
retinopathy. Algorithms were categorized into 5 steps (preprocessing; localization and …

Optic disc (OD) detection is a main step while developing automated screening systems for
diabetic retinopathy. We present in this paper a method to automatically detect the position …

Automated detection of lesions in retinal images can assist in early diagnosis and screening
of a common disease: Diabetic Retinopathy. A robust and computationally efficient approach …

CONTENTS 14.1 Introduction.................................................................................................................
..... 327 14.2 Background …

Diabetic Retinopathy is one of the leading causes of blindness in developed countries. Hard
exudates have been found to be one of the most prevalent earliest clinical signs of …

Diabetic retinopathy (DR) is an important cause of visual impairment in developed countries.
Automatic recognition of DR lesions in fundus images can contribute to the diagnosis of the …

We present an automatic image processing algorithm to detect hard exudates. Automatic
detection of hard exudates from retinal images is an important problem since hard exudates …

In this article, we propose a new method for localizing optic disc in retinal images. Localizing
the optic disc and its center is the first step of most vessel segmentation, disease diagnostic …

The presence of exudates on the retina is the most characteristic symptom of diabetic
retinopathy. As exudates are among early clinical signs of DR, their detection would be an …