International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Optical Disc Detection, Localization and Glaucoma Identification of Retinal Fundus Image Priya Hankare1 , Purvi Kakasagar2, Bhaviya Jagad3, Dhwanil Barot4, Omkar Joshi5 2-5Department
of Electronics and Telecommunications Engineering, K.J. SOMAIYA INSTITUTE OF ENGINEERING AND INFORMATION TECHNOLOGY, Mumbai, Maharashtra, India
1 Assistant
Professor, Department of electronics and Telecommunications,KJSIEIT,Mumbai,Maharashtra,India
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Abstract - The major cause of blindness in the world is diabetic-related eye disease. Various parts of the body get affected due to complication of diabetes. Diabetic retinopathy is termed as high level of glucose in the retina, which may cause blurring of the vision and can lead to blindness. To avoid further damage of vision, time to time testing of retina is done to detect the early stages of diabetic retinopathy. This project aims for detection of Diabetic retinopathy (DR) by taking cup to disc ratio into consideration. Morphological processing techniques are used on the fundus images to extract features of optic disc such as area of disc and area of cup, we calculate the area of each extracted feature. Depending on the area of cup to disc ratio we identify the severity of the disease. Depending on the severity of disease, treatment measures can be analysed. To make it more user friendly GUI in MATLAB is used and to track the progress of disease, database is maintained. By making use of this project, ophthalmologists will surely be able to track the severity of disease and make it more efficient to keep Diabetic retinopathy (DR) under control.
2. LITERATURE SURVEY An image processing system has the features to help the ophthalmologist in diagnosing eye diabetic retinopathy diseases better. It aims to detect the changes in retina. The classification system which states the DR stages are based on the values obtained of cup and disc. [1] The system can help ophthalmologist to perform early screening on diabetes patients. The proposed method used processes fundus image database obtained from Hospital. Together with other suitable retinal features extraction and classification methods, this segmentation method can form the basis of a fast and easy to use diagnostic support tool for diabetic retinopathy, which will give a huge advantage in terms of improved access to mass screening people for risk or presence of diabetes. 2.1 TYPES OF DISEASES: Microaneurysms –
KeyWords: Diabetic Retinopathy(DR) , Fundus Camera, Morphological Operations, Segmentation.
The walls i.e. capillary walls are weakened which leads them to leakages.
1.INTRODUCTION In this project, an approach is made to identify the image given by the patient. The image is classified into 3 categories: Normal, Non-Proliferative Diabetic Retinopathy, Proliferative Diabetic Retinopathy.Processing of the fundus image is done so that various diseases in the eye can be obtained such as haemorrhages. Hard exudates, laser treatment marks, etc. Fundus camera has to be used for taking image of a retina. This process is useful for patients who cannot regularly visit doctor and thus sending an image of their retina will be useful for further diagnosis. This project aims to reduce the blindness caused due to diabetic retinopathy by regular scanning of the retina and processing it to determine the health of the eye.
Haemorrhages – The capillaries that are weakened are ruptured which causes small dots or haemorrhages on the retinal layers. [2] Exudates – The proteins are leaked from retinal blood vessels. These look like yellow flakes. These are termed as hard exudates. These are the residues caused from leakage from damaged capillaries. The most common cause of hard exudates are DR [3]. Intraretinal Microvascular Abnormality (IrMA): -
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