Identification of Diabetic Damage Detection in Retinal Images using ANFIS
| Author(s) | : | NaluguruUdaya Kumar, Dr.T.Ramashri |
| Institution | : | Research Scholar, Department of Electronics and Communication Engineering, S.V.U College of Engineering, S.V.University, Tirupati |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 712-718 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Digital retinal images plays very crucial role inmedical domain and applications. The role of these imagesvary across different diseases like micro aneurysms, hemorrhages, hard exudates, cotton wool spots or venous circlesetc. One of the important application of retinal image processing is required in diagnosing and treatment of manydiseases affecting the retina and the choroid behind. With huge volume of images being taken from the drive database, itis imperative to have an automated classifier system. In this work Adaptive Neuro Fuzzy Inference System (ANFIS) hasbeen designed and developed for detection of abnormalities in the retinal images. Using wavelet decomposition &Principal Component Analysis (PCA), image features are extracted & segregated. These image features form the basisfor ANFIS based classification system. The proposed approach has been validated with help of data sets comprising over40 images sourced from DRIVE data base. The classifier performance has been evaluated through different performancemeasures and this research demonstrates the suitability of proposed approach in identifying retinal diseases.
NaluguruUdaya Kumar, Dr.T.Ramashri, “Identification of Diabetic Damage Detection in Retinal Images using ANFIS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 712-718, February 2018.
