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EXTRACTION OF BLOOD VESSALE FROM RETINAL IMAGE AND ITSCLASSIFICATION

Abstract

Abstract: Retina is a layer which is found at the back side of the eye ball which plays main role for visualization. Any diseasein the retina leads to severe problems. Blood vessels segmentation and classification of retinal vessels into arteries and veinsis an essential thing for detection of various diseases like Diabetic Retinography etc. This paper discusses about various existing methodologies for classification of retinal image into artery and vein which are helpful for the detection of various diseases in retinal fundus image. This process is basis for the AVR calculation i.e., for the calculation of average diameter of arteries to veins. One of the symptoms of Diabetic Retinography causes abnormally wide veins and this leads to low ratio of AVR. Diseases like high blood pressure and pancreas also have abnormal AVR. Thus, classification of blood vessels into arteries and veins is more important. Retinal fundus images are available on the publically available Database like DRIVE, INSPIREAVR , VICAVR .Keyword –. Retina, Diabetic Retinography,RGB, CLAHE 

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