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dc.contributor.author Atheesan, S
dc.contributor.author Shanmugarajah, Y
dc.contributor.author Ajanthan, T
dc.contributor.author Ranathunga, L
dc.date.accessioned 2017-03-11T10:08:04Z
dc.date.available 2017-03-11T10:08:04Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/12496
dc.description.abstract This paper describes an automatic system to identify glaucoma disease from funduscopic images by using digital image processing. Glaucoma caused by increase of pressure in eye and damages in optic nerve. Glaucoma tends to be grown and may not show until final stage. Through this system, doctors can easily identify patient’s condition quickly and do treatment. Rural people also will get advantage through this system. Glaucoma is identified through cup to disc ratio (CDR) calculation and orientation of the blood vessels in this system. For that Optical disk’s inner circle (cup) and outer circle (disc) is extracted. From that radius is calculated. The outer and inner circles are extracted by using average and maximum grey level pixels respectively with the use of histogram. Then find contours and draw circle which is best fitting the contours. The radius of cup and disc are found. After calculating CDR, the abnormal image can be found if CDR exceeds a particular threshold value. Otherwise it is normal image. The system extracts the blood vessels and through the orientation of the blood vessel glaucoma is identified. en_US
dc.language.iso en en_US
dc.subject Glaucoma en_US
dc.subject Funduscopic Image
dc.subject Image Processinng
dc.subject Cup Disc Ratio
dc.title Automatic Glaucoma Detection by Using Funduscopic Images en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Department of Information Technology en_US
dc.identifier.year 2015 en_US
dc.identifier.conference ITRU RESEARCH SYMPOSIUM en_US
dc.identifier.place UNIVERSITY OF MORATUWA en_US
dc.identifier.pgnos 39-45 en_US
dc.identifier.email atheesan91@gmail.com en_US
dc.identifier.email yashoshan@gmail.com en_US
dc.identifier.email ajanthan89274@gmail.com en_US
dc.identifier.email lochandaka@uom.lk en_US


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