International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 117 - Number 5 |
Year of Publication: 2015 |
Authors: Neelam D. Panse, Tushar Ghorpade, Vimla Jethani |
10.5120/20550-2925 |
Neelam D. Panse, Tushar Ghorpade, Vimla Jethani . Glaucoma and Diabetic Retinopathy Diagnosis using Image Mining. International Journal of Computer Applications. 117, 5 ( May 2015), 14-16. DOI=10.5120/20550-2925
In today's world human are affected by various diseases which lead to damage of some or the other body part which degrades their working speed. Eye diseases are one of the factors, which include vision loss due to glaucoma and diabetic retinopathy. Glaucoma damages the optic nerve of the eye. DR cause changes in eye damage the blood vessel. Image will undergo a standard method of applying image processing which include image acquisition, pre-processing, feature extraction followed by exact identification of disease by means of a classifier. Various classifiers are available in data mining that have been used for classification in different areas. We will use SVM for classification of the retinal images into category of Normal, DR and Glaucoma. The Overall classification rate of the proposed system will give the better efficiency and accuracy of identifying the disease with respect to existing systems.