期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：1
页码：1059
DOI：10.15680/IJIRCCE.2017.0501058
出版社：S&S Publications
摘要：For developing retinal screening systems the segmentation of blood vessel is the basis since vesselsserve as one of the major landmark features of retina. The eye care specialist can screen abnormalities of vesselusing an effective and efficient computer based approach to automated blood vessels segmentation in retinalimages. Automated segmentation reduces the time needed by a skilled technician or physician for manual labelling.Thus a reliable vessel segmentation method would be valuable for early detection of alterations due to suchdiseases. Tools that could be adopted for assisting in Diabetes Retinopathy and many abnormalities in image ofretina would be quite helpful. Computer assisted diagnosis (CAD) for different diseases is most common andimaging the medical diagnosis plays a vital role in CAD (Wu and Agam, 2007, 2007a). Therefore, techniques ofimage processing could assist in identifying abnormalities from image of fundus. Majority of the methods for vesselsegmentation are on the basis of probabilistic filters, watershed algorithm, wavelet filter algorithm, Gabor filter andso on (Li et al, 2006).KEYWORDS:Retinal Blood
