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Number 4

Intensity Observation of Conjunctivitis using DIP

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  • Jyoti Patil and Anant L. Chaudhari 2012. Intensity Observation of Conjunctivitis using DIP. International Journal of Applied Information Systems. 4, 4 (October 2012), 1-5. DOI=http://dx.doi.org/10.5120/ijais450648 
  • @article{10.5120/ijais2017451568,
author = {Jyoti Patil and Anant L. Chaudhari},
title = {Intensity Observation of Conjunctivitis using DIP},
journal = {International Journal of Applied Information Systems},
issue_date = {October 2012},
volume = {4},
number = {},
month = {October},
year = {2012},
issn = {},
pages = {1-5},
numpages = {},
url = {/archives/volume4/number4/289-0648},
doi = { 10.5120/ijais12-450648},
publisher = { xA9 2010 by IJAIS Journal},
address = {}
}

  • %1 450648
%A Jyoti Patil
%A Anant L.  Chaudhari
%T Intensity Observation of Conjunctivitis using DIP
%J International Journal of Applied Information Systems
%@ 
%V 4
%N 
%P 1-5
%D 2012
%I  xA9 2010 by IJAIS Journal

Abstract

Medical image processing using MATLAB is used in medical field. The recently many technologies are used for the diagnosis of eye diseases like conjunctivitis to observe infection on eye. This paper Digital image processing (DIP) is applied for manual judgment by doctors to get better & fast result. The diagnosis of "Intensity of redness of pink Eye" i. e. "Conjunctivitis"; by identifying the region of infection in the corneal images. The eye images are observed in DIP which gives results of the increase in infection or intensity of disease. Considering the importance of digital image processing, our aim is to implement this technology for diagnosis eye diseases. [1]

References

  1. GARY L. MORROW, M. D. , Toronto East General and Orthopedic Hospital, Toronto, Ontario, Canada RICHARD L. ABBOTT, M. D. , University of California, San Francisco, and Francis I. Proctor Foundation, San Francisco, California.
  2. Madhusudhanan Balasubramanian B. E. , Bharathiyar University, 1998, " COMPUTER ASSISTED EYE FUNGAL INFECTION DIAGNOSIS".
  3. The Use of Fractal Analysis and Photometry to Estimate the Accuracy of Bulbar Redness Grading Scales, by Marc M. Schulze et al.
  4. Reference from http://en. wikipedia. org/wiki/ Edge_detection
  5. LIXU GU, SEMINAR SERIES ON ADVANCED MEDICAL IMAGE PROCESSING(2), FUNDAMENTAL CONCEPTS Robarts Research Institute London, Ontario, Canada, July 10, 2002.
  6. Rafael C. Gonzalez and Richard E. Woods. 'Digital Image Processing using MATLAB',2nd edition. Prentice Hall, 2002. ISBN 0-201-18075-8.
  7. Marc M. Schulze, Natalie Hutchings, and Trefford L. Simpson1, The Use of Fractal Analysis and Photometry to Estimate the Accuracy of Bulbar Redness Grading Scales", IOVS, April 2008, Vol. 49, No. 4

Keywords

DIP, MATLAB, Conjunctivitis, Thresholding

Index Terms

Computer Science
Information Sciences