Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/346615
Title: Segmentation of vessel connectivities in retinal image using hybrid swarm optimization schemes
Researcher: Shrichandran, GV
Guide(s): Sathiyamoorthy, S and ShebsKeziaMalarchelvi, P D
Keywords: Engineering and Technology
Computer Science
Imaging Science and Photographic Technology
Eye diseases
Retinal image
Hybrid swarm
University: Anna University
Completed Date: 2020
Abstract: Eye-sight is one of the most significant and esteemed senses in human beings. Throughout the world, there are various health disorders distressing people of all ages, among which is the most predominant issues are eye diseases. Certain eye diseases have no symptoms in their early stages. The blood vessels are responsible for supplying blood through the whole area of the retina. The retinal blood vessels are harmed because of the aging of the people and damaging of the retinal blood vessels may be due to micro aneurysms, haemorrhages, and exudates lesion. Nonetheless, 12% of retinal images can t be analyzed clinically due to deficient quality. It is the basic to recognize and segment the retinal blood vessels for detection and diagnosis, which anticipates prior vision loss in diabetic patients. newline
Pagination: xxiv,206p
URI: http://hdl.handle.net/10603/346615
Appears in Departments:Faculty of Information and Communication Engineering

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10_listofabbreviations.pdf438.28 kBAdobe PDFView/Open
11_chapter1.pdf870.17 kBAdobe PDFView/Open
12_chapter2.pdf459.92 kBAdobe PDFView/Open
13_chapter3.pdf1.12 MBAdobe PDFView/Open
14_chapter4.pdf1.21 MBAdobe PDFView/Open
15_chapter5.pdf1.1 MBAdobe PDFView/Open
16_chapter6.pdf1.37 MBAdobe PDFView/Open
17_chapter7.pdf1.45 MBAdobe PDFView/Open
18_conclusion.pdf113.94 kBAdobe PDFView/Open
19_references.pdf275.58 kBAdobe PDFView/Open
20_listofpublications.pdf228.42 kBAdobe PDFView/Open
80_recommendation.pdf61.57 kBAdobe PDFView/Open
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