Automatic Assesment of Pathological Disorder using Color Retinal Images
D.Priya
D.Priya*, Electronics and communication engineering,Vel Tech Multi Tech Dr.R. Rangarajan and Dr.R.SakunthalaEngineering college, Chennai, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 6610-6616 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8712118419/2019©BEIESP | DOI: 10.35940/ijrte.D8712.118419
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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: Our vision reduced in eye because of the presence of retinal diseases like Exudates(diabetic Retinopathy), small aneurysms and vessel harm. This project principally concentrates on the symptoms of heart, lung, liver and excretory organ issues identification mistreatment retina body structure pictures. Our planned work shows that however optic disc elimination and follower the symptom detection. Optic disc is one among the components that encompass intersection of blood vessels and it conjointly has same characteristics of exudates like yellow color, intensity and distinction. Distinguish the optic disc and exudates is crucial one. Thus solely initial eliminate the optic disc and follower that exudates detection. This detection methodology terribly favorably with existing and promise preparation of those systems small aneurysms area unit the initial stage of exudates.
Keywords: Exudates(diabetic Retinopathy), Small Aneurysms and Vessel Harm.
Scope of the Article: Image Processing and Pattern Recognition.