Automated Detection of Hard Exudates in Fundus Images Using Improved OTSU Thresholding and SVM

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Automated Detection of Hard Exudates in Fundus Images Using Improved Otsu Thresholding and Svm

One common cause of visual impairment among people of working age in the industrialized countries is Diabetic Retinopathy (DR). Automatic recognition of hard exudates (EXs) which is one of DR lesions in fundus images can contribute to the diagnosis and screening of DR.The aim of this paper was to automatically detect those lesions from fundus images. At first,green channel of each original fund...

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Detection of Hard Exudates Using Simulated Annealing Based Thresholding Mechanism in Digital Retinal Fundus Image

Diabetic retinopathy is a disease commonly found in case of diabetes mellitus patients. It causes severe damage to retina and may lead to complete or partial visual loss. In case of diabetic retinopathy retinal blood vessel gets damaged and protein and fat based particles gets leaked out of the damaged blood vessels and are deposited in the intra-retinal space. They are normally seen as whitish...

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Detection and Classification of Hard Exudates in Human Retinal Fundus Images Using Clustering and Random Forest Methods

Diabetic Retinopathy (DR) is a vascular disorder where the retina is damaged because fluid leaks from blood vessels into the retina. One of the primary lesions of diabetic retinopathy is exudates, which appear on retinal images as bright patches with various borders. In this work an image processing framework is presented to automatically detect and classify the presence of hard exudates in the...

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Automatic Identification of Hard Exudates in Retinal Fundus Images using Techniques of Information Retrieval

Diabetic retinopathy, a subject of many studies in the medical image processing field since long time, is one of the major complications of diabetes mellitus and it cause blindness. In this study, we proposed a method that consist of keypoint detector-feature extraction-reduction process and classifier stages within the framework of hybrid approach for the detection of hard exudates. This metho...

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Automated Segmentation of Hard Exudates Using Dynamic Thresholding to Detect Diabetic Retinopathy in Retinal Photographs

Retinal images are in use by ophthalmologists for the clinical analysis and diagnosis of different retinal diseases. The ocular disease known as Diabetic Retinopathy (DR) is a retinal disease that causes microvascular changes in the eye retina. Hard Exudates (HE) a retinal lesion can be seen as bright yellowish spots in colored fundus photograph and as bright white blobs in red free fundus imag...

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ژورنال

عنوان ژورنال: International Journal of Computer Science & Engineering Survey

سال: 2016

ISSN: 0976-3252,0976-2760

DOI: 10.5121/ijcses.2016.7101