Image Processing Technique for Hard Exudates Detection for diagnosis of Diabetic Retinopathy

Main Article Content

Prof. Neha N. Gaikwad, Prof. Pravinkumar R. Badadapure

Abstract

Diabetic Retinopathy(DR) is a diabetic eye diseases which is referred as combination of various eye problems. These Problems are faced as a complication of diabetes by people, who are suffering from it. Prolongation of DR may result in permanent blindness. To avoid this, Detection of DR in an automated way at early stage is recommended. Hard Exudates are one of the primary abnormalities that can be seen in DR. In this paper, we have given various Image Processing Techniques that can be used for automated detection of Hard Exudates. We have evaluated the outcomes by using ground truth of the test images and the use of image databases in the particular digital algorithm for detection of Hard Exudates. Accuracy, sensitivity and Specificity are few of the parameters which are used for the concluding the better method for digital Processing
DOI: 10.17762/ijritcc2321-8169.160472

Article Details

How to Cite
, P. N. N. G. P. P. R. B. (2015). Image Processing Technique for Hard Exudates Detection for diagnosis of Diabetic Retinopathy. International Journal on Recent and Innovation Trends in Computing and Communication, 3(4), 2097–2100. https://doi.org/10.17762/ijritcc.v3i4.4188
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