• DocumentCode
    166331
  • Title

    Automatic diagnosis of astigmatism for Pentacam sagittal maps

  • Author

    Hasan, Sarah Ali ; Singh, Monika

  • Author_Institution
    EIED, Thapar Univ., Patiala, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    472
  • Lastpage
    478
  • Abstract
    Astigmatism is very common eye disorder, which coexist with other refractive errors. Two third of the population worldwide who have myopia has astigmatism as well. Many diagnostic methods to detect these visual disorders have been developed in the last 10 years. Most of them are computer based techniques for better accuracy and fast response. In this paper an image processing based method for diagnosing astigmatism and classifying its types has been presented. The proposed technique is implemented on sagittal maps from latest topographic instruments.
  • Keywords
    diseases; eye; medical image processing; patient diagnosis; shape recognition; automatic astigmatism diagnosis; computer based techniques; eye disorder; image processing based method; pentacam sagittal maps; refractive errors; topographic instruments; Classification algorithms; Cornea; Lenses; Shape; Surface morphology; Surface topography; Astigmatism diagnosis; Corneal Topography; Shape recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968539
  • Filename
    6968539