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A Study on the Examination of RGB Scale Retinal Pictures Using Recent Methodologies
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Author(s): A. Swarnalatha (St. Joseph's College of Engineering, India), K. Palani Thanaraj (St. Joseph's College of Engineering, India), A. Sheryl Oliver (St. Joseph's College of Engineering, India)and M. Esther Hannah (St. Joseph's College of Engineering, India)
Copyright: 2020
Pages: 23
Source title:
Biomedical and Clinical Engineering for Healthcare Advancement
Source Author(s)/Editor(s): N. Sriraam (Ramaiah Institute of Technology, India)
DOI: 10.4018/978-1-7998-0326-3.ch010
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Abstract
Retinal disease/condition examination is one of the significant areas of the medical field. A variety of retinal abnormality assessments based on fundus image-assisted trials are widely proposed by the researchers to examine the parts of the retina. Recently, traditional and soft computing-based approaches are executed to inspect the optic disc and the blood vessels of the retina to discover disease/damages. This work implements (i) A two-phase methodology based on Jaya Algorithm (JA) and Kapur's Entropy (KE) thresholding and level-set segmentation for the optic disc evaluation and (ii) JA-based Multi-scale Matched Filter (MMF) for the blood vessel assessment. During this analysis, various benchmark datasets such as RIM-ONE, DRIVE, and STARE are considered. The experimental study substantiates that JA-assisted retinal picture examination offers better results than other related existing methodologies.
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