A Research on Retinal Diseases Predictionin Image Processing
B. Sakthi Karthi Durai1, J. Benadictraja2, C. Sathya3
1B. Sakthi Karthi Durai, Assistant Professor, Department of CSE, PSNACET, Dindigul (Tamil Nadu), India.
2J. Benadictraja, Associate Professor, Department of CSE, PSNACET, Dindigul (Tamil Nadu), India.
3C. Sathya, Assistant Professor, Department of CSE, PSNACET, Dindigul (Tamil Nadu), India.
Manuscript received on 12 January 2020 | Revised Manuscript received on 08 February 2020 | Manuscript Published on 20 February 2020 | PP: 384-388 | Volume-9 Issue-3S January 2020 | Retrieval Number: C10820193S20/2020©BEIESP | DOI: 10.35940/ijitee.C1082.0193S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, a detail survey on retinal diseases identification using image processing is discussed. The retinal diseases are glaucoma, cataract, hypersensitive retinopathy, diabetic retinopathy, age related macular degeneration. The image processing provides greater innovation in medical applications. Image processing gives clear view to determine the infected area. Different algorithms and different procedure were followed here. The survey of detection in retinal diseases includes algorithms are elaborated and compared which are useful for researchers in image processing .This help the researcher get a detailed view of image processing in retinal diseases identification.
Keywords: Diabetic Retinopathy, Age–related Macular Degeneration, Hyper Sensitive Retinopathy, Support Vector Machine.
Scope of the Article: Image Processing and Pattern Recognition