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：11
DOI：10.15680/IJIRCCE.2015.0311086
出版社：S&S Publications
摘要：This survey paper basically focuses on different approaches for detecting cataract in digital fundusimages. Cataract is clouding or dullness of the lens in the eye which causes visual loss and blindness. One can detectand classify image using various image processing techniques. This paper explains various algorithms for detecting redlesions and cataract in retinal fundus images. Basically cataract classification includes three main stages namelypreprocessing of image, feature extraction and classification. Initially, the image is preprocessed by applying imageprocessing techniques, then various features of retina (microaneurysms, hemorrahages, optic disk, blood vessels) areextracted. On basis of these extracted features, image is classified into cataract and non-cataract image by means ofvarious classification techniques
