Mathematical Morphology for Recognition of Hard Exudates from Diabetic Retinopathy Images
R. Sathish Kumar1, R. Karthikamani2, S. Vinodhini3
1Dr. R. Sathish Kumar, Assistant Professor Sr. G, Department of Mathematics, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
2Mrs. R. Karthikamani, Assistant Professor, Department of EIE, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
3Ms. S. Vinodhini, Assistant Professor, Department of EIE, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
Manuscript received on 14 December 2018 | Revised Manuscript received on 25 December 2018 | Manuscript Published on 09 January 2019 | PP: 367-370 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2007017519/19©BEIESP
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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: Diabetic retinopathy is the most frequent form of diabetic eye disease. It will typically affects people who have diabetes for a significant number of years. Retinopathy becomes particularly dangerous because it will affect all diabetics and, increases the risk of blindness, when it is left untreated. To avoid total loss of sight the ophthalmologist will treat the patients by sophisticated laser treatment, if detected effectively at an initial period. One of the main symptoms of initial stage of diabetic retinopathy is analysis of Hard exudates. At the early stage, using mathematical morphology the exudates are identified and removed.
Keywords: Diabetic Retinopathy, Mathematical Morphology, Fuzzy Logic.
Scope of the Article: Pattern Recognition