Disease Identification using Retinal Vessel Segmentation using MATLAB
P Ramani1, Radhika Baskar2, Ajay Swaminathan G3

1P Ramani, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.

2Radhika Baskar, Saveetha School of Engineering, SIMATS, Chennai (Tamil Nadu), India.

3Ajay Swaminathan G, Saveetha School of Engineering, SIMATS, Chennai (Tamil Nadu), India.

Manuscript received on 15 November 2019 | Revised Manuscript received on 23 December 2019 | Manuscript Published on 31 December 2019 | PP: 663-666 | Volume-9 Issue-2S4 December 2019 | Retrieval Number: B12371292S419/2019©BEIESP | DOI: 10.35940/ijitee.B1237.1292S419

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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 state of the vascular system of the human eye is an imperative demonstrative factor in ophthalmology. The Project proposes the Retinal picture investigation through the productive discovery of vessels and exudates for retinal vasculature issue examination. It accepts basic occupations in acknowledgement of specific diseases in starting occasions, for instance, diabetes, which is performed by examination of the states of retinal veins.The natural attributes of retinal pictures make the vein location process troublesome. Here, we proposed another calculation to recognize the retinal veins more accurately.

Keywords: Vascular System, Ophthalmology, Diabetes, MATLAB.
Scope of the Article: Expert Systems