Investigation of primary glaucoma by CDR in fundus images

  • G. Pavithra
  • , Anusha Tugashetti
  • , T. C. Manjunath
  • , L. Dharmanna

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Glaucoma is a quiet hoodlum of sight which is described by raised intra-ocular weight, ease back vision misfortune prompts lasting visual deficiency. In spite of the fact that the illness is hopeless however its side effects can be limited in this way early location of the deadly disease is a basic one. It is a very expensive process to detect the disease using the modern tools as a result of which we are developing a methodology for detection such that it is affordable by all the sections of the society, also it can be detected at the early stage and prevention can be taken. Hence, proposing a novel methodology for primary glaucoma detection by developing software algorithms in Matlab, wherein we concentrate on the automatic finding of the glau-coma disease from the images by the method of calculating the cup to disc ration in the fundus image.

Original languageEnglish
Title of host publicationRTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1841-1848
Number of pages8
ISBN (Electronic)9781509037049
DOIs
Publication statusPublished - 01-07-2017
Event2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2017 - Bangalore, India
Duration: 19-05-201720-05-2017

Publication series

NameRTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings
Volume2018-January

Conference

Conference2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2017
Country/TerritoryIndia
CityBangalore
Period19-05-1720-05-17

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Media Technology
  • Control and Optimization
  • Instrumentation
  • Transportation
  • Communication
  • Computer Networks and Communications

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