Abstract
Diabetic Retinopathy is a continuous damage of the retinal blood vessels caused by chronic “HYPERGLYCEMIA”. This can be caused by the problem of diabetes and it is of two types i.e Type 1, Type 2. At first, DR has no symptoms, if it is not treated it make lead to low vision and blindness. Diabetic retinopathy is one of the major reason for the blindness. As a result, adequate screening is required to detect diabetic retinopathy at an early stage. The study describes a Diabetic Retinopathy Screening System that ophthalmologists utilize as a major identifying tool to find Diabetic Retinopathy symptoms. The system uses functional forms like blood vessels, exudates, and microaneurysms in retinal pictures. By removing characteristics from divided images and using GLCM, the retinal images are divided and classed as normal or DR impacted images (Gray Level Co occurrence Matrix).The system is carried out and tested in “LAB VIEW” to justify and take measurements with less effort than traditional programming. The Lab view is the best choice for the beginners who do not have much or any experience with code or programming knowledge.
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