• 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