Identification of Glaucoma using Structural Modifications of Retina Images with AM Segmentation Method
Hari Krishna Kanagala1, V.V.Jayarama Krishnaiah2
1Hari Krishna Kanagala*, Assistant Professor, Dept. of IT, Vignan’s Lara Institute Of Technology & Science, Vadlamudi, Guntur.
2Dr. V.V.JayaramaKrishnaiah, Associate Professor, Dept. of CSE, A S N Women’s Engineering College, Tenali.
Manuscript received on 6 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 2790-2794 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5034098319/2019©BEIESP | DOI: 10.35940/ijrte.C5034.098319
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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: Glaucoma is the second driving reason for blindness after waterfalls and its identification is basic to anticipate visual harm. Glaucoma is the third driving reason for blindness in India. The structure composed, will have the capacity to help in early discovery and conclusion of glaucoma utilizing AM segmentation and Cup to Disk Ratio (CDR) are used for the accurately detected of Glaucoma. Optic disk and optic cup diameter is measured by region props technique. Drive database is used for analyzing the proposed work. Structural parameters are measure to check the structural variation with the help of bench mark image. Report said, due to glaucoma, its structure get varies. Hence, helping ophthalmologist in prior location of glaucoma which will help the general public thus to fight the quiet enemy of vision.
Keywords: Retina, Segmentation, CDR, Glaucoma.
Scope of the Article: Structural Engineering