EARLY DETECTION OF GLAUCOMA USING EMPIRICAL WAVELET TRANSFORM
| Author(s) | : | Miss.Sheetal G Dulange, Prof. S.S.Shirgan |
| Institution | : | Dept. of Electronics and Telecommunication N.B.N. Sinhgad College of Engineering, Solapur, India. |
| Published In | : | Vol. 5, Issue 1 — January 2018 |
| Page No. | : | 678-683 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Glaucoma is second leading ocular disease and early detection of Glaucoma can prevent progressionprogression of disease and consequently loss of vision. Unfortunately, Glaucoma symptoms are painless the braincompensates gradual vision impairment to considerable extent. Here we presents new methodology for an automateddiagnosis of glaucoma using digital Fundus image based on Empirical Wavelet Transform(EWT).EWT is used todecompose image and structural features are extracted from decomposed EWT components. These extracted features areranked based on t value feature selection algorithm. These features are used for classification of normal and glaucomaimage using Least Square Support Vector Machine Classifier.
Miss.Sheetal G Dulange, Prof. S.S.Shirgan, “EARLY DETECTION OF GLAUCOMA USING EMPIRICAL WAVELET TRANSFORM”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 678-683, January 2018.
