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In this paper we propose a novel method for finding the fovea in colored images of the eye fundus. We use an image correlation coefficient to find the fovea, which is calculated from a set of template images of the fovea. The results, using the DIARETDB1 database, indicate that our method detects the fovea region with an accuracy of 82,02%.
Patients suffering from Diabetic Retinopathy are at a high risk of sight threatening disease, the Diabetic Maculopathy. It gets initiated with the deposition of lesions formed from blood constituents, in a region of one optic disc diameter centered at fovea of retina. The effect becomes vision threatening when the deposition of the lesions spread close to fovea. These lesions are of two types, namely...
This paper proposes methods to detect hemorrhages which are known as a kind of lesions in diabetic retinopathy. To detect the symptom, eye fundus structures (blood vessels and fovea) as well as microaneuysms need to be discriminated to filter out only the hemorrhages. Five processing steps are proposed based analysis on fundus images. First, preprocessing step is processed to improve the quality of...
Accumulation of blood and its constituents over fovea of the retina lead to irreversible vision degradation in Diabetic Retinopathy (DR). Thus, fovea location contains very vital information in automated analysis. In this study, we have developed a simple approach for identification of fovea location. The main advantage of the method is that it does not require prior knowledge of the spatial relationship...
Diabetes has become a life threatening disease. The effect of diabetes on human retina is called Diabetic Retinopathy (DR). If DR involves macula, it is known as maculopathy. Under this condition, the visibility of the patient gets affected adversely. In this paper, we have proposed a method for grading the stages of maculopathy. In the first stage, the abnormalities are detected. Second stage consists...
This paper proposes a framework for detecting the presence and assessing the severity of exudate formations in patients suffering from diabetic retinopathy. The proposed framework also localizes and detects the fovea, the knowledge of which aids in determining the severity of the impairment to visual function posed by the exudates. Results are presented using digital fundus images collected from both...
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