Detection of Retinal Diseases by Tracing Vessel Trees and Accurately Segmenting Vessels
K.V.V.Kumar1, T.Ravi2, B.M.S.Rani3, Habibullah Khan4
1K. V. V. Kumar, M.Tech Project Student, Department of ECE, KL University, Guntur ,(AP), India.
2T.Ravi, Associate professor, Department of ECE, KL University, Guntur, (AP), India.
3B.M.S.Rani, Asst. Professor, Dept of ECE, Vignan’s Nirula College of Engg.,Guntur, (A. P), India.
4Habibullah Khan Professor, HOD, Dept of ECE, K.L. University, Guntur, A.P., India.
Manuscript received on March 02, 2012. | Revised Manuscript received on March 21, 2012. | Manuscript published on April 30, 2012. | PP: 182-187 | Volume-1 Issue-4, April 2012 | Retrieval Number: D0337041412/2012©BEIESP

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Abstract: The extraction of retinal vessels plays an important role in the diagnosis and analysis of retinal diseases, such as Age-related Macular Degeneration (AMD), Diabetic Retinopathy, and Retinopathy of Prematurity (ROP). The blood vessels are the part of the circulatory system that transports blood throughout the body. There are three major types of blood vessels: the arteries, which carry the blood away from the heart; the capillaries, which enable the actual exchange of water and chemicals between the blood and the tissues; and the veins, which carry blood from the capillaries back toward the heart segmentation is the process of partitioning a digital image into multiple segments (sets of pixels also known as super pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image. The objective of fusion is to convolve foreground and background images to analyze the retinal vessels.
Keywords: BRVO (Branch retinal vein oclusions), CNVM (Chroidal neo vascular membrane),VMT (Vitro macular traction),ERM( Epiretinal membranes),DR(Diabetic Retinopathy)