NDLI: Analysis of different automatic cataract detection and classification methods

Content Provider	IEEE Xplore Digital Library
Author	Niya, C.P. Jayakumar, T.V.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Vidya Acad. of Sci. & Technol., Thrissur, India (Niya, C.P.; Jayakumar, T.V.)
Abstract	The Human eyes are the most complicated organ, having ideal and interconnected subsystems namely pupil, iris, lens, retina, cornea and optic nerve. Cataract is one of the major health problems that occur mainly in the old age. Protein layer will develop gradually in the eyes and the lens become cloudy over a long time period. This reduces vision and leads to blindness. There are various Automatic Cataract detection and classification methods available today. All the Cataract detection and classification systems have 3 basic steps: Preprocessing, Feature extraction and Classification. In this paper some of the recent methods are discussed and analyzed.
Starting Page	696
Ending Page	700
File Size	133194
Page Count	5
File Format	PDF
e-ISBN	9781479980475
DOI	10.1109/IADCC.2015.7154796
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-12
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Biomedical optical imaging eye diseases Cataract Image color analysis Image edge detection blindness Feature extraction Optical imaging Lenses
Content Type	Text
Resource Type	Article

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Analysis of different automatic cataract detection and classification methods