| Title | Detection of exudates from fundus images |
| Publication Type | Conference Proceedings |
| Year of Conference | 2020 |
| Authors | Satyananda, V., K. V. Narayanaswamy, and K. Karibasappa |
| Conference Name | Joint Conferences on 18th International Conference on Intelligent Systems Design and Applications, ISDA 2018 and 10th World Congress on Nature and Biologically Inspired Computing , NaBIC 2018 |
| Volume | 940 |
| Pagination | 988 - 997 |
| Date Published | 2020 |
| Publisher | Springer Verlag |
| ISBN Number | 21945357 (ISSN); 9783030166564 (ISBN) |
| Keywords | Department of Electronics and Communication Engineering, Scopus |
| Abstract | With the rapid urbanization and growth of work-oriented atmosphere, stress in one’s life is not left behind. Though stress is casually linked with mental depression and exhaustion, it also induces physical malady. Diabetes is one such ailment that is caused by stress. If the blood sugar levels are not controlled, this may result in Diabetic Retinopathy, where the blood vessels break down in the retina of the eye, leading in formation of exudates. These irregularities caused due to accumulation of leaked lipids and fats, can be witnessed in fundus images. A novel algorithm is proposed in this paper to detect exudates. The technique has been developed on MATLAB. It involves elementary concepts of image processing to detect exudates, also to eliminate optic disc. This has been tested on 60 images. This method yields an accuracy of 90%. © Springer Nature Switzerland AG 2020. |
| DOI | 10.1007/978-3-030-16657-1_92 |
| Short Title | Adv. Intell. Sys. Comput. |
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