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：2015
卷号：3
期号：10
DOI：10.15680/IJIRCCE.2015.0310096
出版社：S&S Publications
摘要：Accurate segmentation of human retina is the most vital factor in diagnosis of eye and systematicdiseases. The effective diagnosis and analysis of eye can prevent lot of people from vision impairment. The retinablood vessel and optic disk segmentation is the vital work to identify and notice abnormal variations some of them arebright lesions (exudates and cotton wool spots) and red lesions (haemorrhages and micro aneurysms). The blood vesselsegmentation is performed on the basis of blood vessel discrimination such as blood vessel orientation, cross sectionalarea, surface shapes and abnormal region volumes. The usage of pre-processing technique brings out the approachvessel normalization and vessel enhancement that enhances our segmentation process very well. In this paper anautomated method for segmenting the retina has two methodologies they are supervised classification and unsupervisedclassification.
