Nowadays in India, diabetic patients are more increasing. The major issue with diabetic patients is Diabetic retinopathy which causes the loss of vision. For the ophthalmologist, it is very difficult to identify the diabetic retinopathy because of the low resolution of the eyes. For the specialists, it is easy to find the blood vessels in the retina to diagnose the many populations in a very short time. Various existing methods are used to find the abnormal retinal images of diabetic patients based on their image features. But the results are not that much accurate. In this paper, an enhanced image filter with local entropy thresholding for blood vessel extraction under different normal or abnormal conditions is proposed to improve the performance of the patient information.
CITATION STYLE
Bojja, P., Potluri, S. C. R., … Sri, D. S. K. S. V. L. S. N. S. P. (2019). Enhanced Detection of Diabetic Retinopathy using Advanced Filters. International Journal of Engineering and Advanced Technology, 9(2), 4470–4474. https://doi.org/10.35940/ijeat.b4030.129219
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