DocumentCode :
3102542
Title :
Analysis of different automatic cataract detection and classification methods
Author :
Niya, C.P. ; Jayakumar, T.V.
Author_Institution :
Dept. of Comput. Sci. & Eng., Vidya Acad. of Sci. & Technol., Thrissur, India
fYear :
2015
fDate :
12-13 June 2015
Firstpage :
696
Lastpage :
700
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.
Keywords :
diseases; feature extraction; image classification; medical image processing; vision defects; automatic cataract classification method; automatic cataract detection method; blindness; cornea; feature extraction; health problems; human eyes; interconnected subsystems; iris; lens; optic nerve; protein layer; pupil; retina; Biomedical optical imaging; Feature extraction; Image color analysis; Image edge detection; Lenses; Optical imaging; Support vector machines; Cataract; blindness; eye diseases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
Type :
conf
DOI :
10.1109/IADCC.2015.7154796
Filename :
7154796
Link To Document :
بازگشت