Red Lesions Identification of Retina for Diabetic Patients 
Geeta G. Unhale1, Mohua Biswas2, Manoj A. Deshmukh3, Akshay A.Jadhav4
1Geeta G. Unhale, Department of Electronics and Telecommunication Engineering, SVERI’s College of Engineering, Pandharpur, Maharashtra, India.
2Mohua Biswas, Department of Electronics and Telecommunication Engineering, SVERI’s College of Engineering, Pandharpur, Maharashtra, India.
3Manoj A. Deshmukh, Department of Electronics and Telecommunication Engineering, SVERI’s College of Engineering, Pandharpur, Maharashtra, India.
4Akshay A.Jadhav, Department of Electronics and Telecommunication Engineering, SVERI’s College of Engineering, Pandharpur, Maharashtra, India.
Manuscript received on November 10, 2019. | Revised Manuscript received on November 17, 2019. | Manuscript published on 30 November, 2019. | PP: 4006-4009 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8633118419/2019©BEIESP | DOI: 10.35940/ijrte.D8633.118419
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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: The automatic identification of retinal lesions in fundus images is crucial. In this paper, the approach used for identification of microaneurysms and hemorrhages in fundus images is appropriate. By using this technique, the features of changing shape for the identification of red lesions in the fundus images are effective in which segmentation is not necessary. While image flooding, shape features are evolved and characterized between red lesions and vessel segments.
Keywords: Diabetic Retinopathy, Hemorrhages, Microaneurism, Red Lesions, Retina.
Scope of the Article: Problem Solving and Planning.