An Automatic Detection and Assessment of Diabetic Macular Edema Along With Fovea Detection from Color Retinal Images
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - April Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-4 | ||
| Year of Publication : 2013 | ||
| Authors : S.Fowjiya, Dr.M.karnan , Mr.R.Sivakumar |
S.Fowjiya, Dr.M.karnan , Mr.R.Sivakumar "An Automatic Detection and Assessment of Diabetic Macular Edema Along With Fovea Detection from Color Retinal Images"International Journal of Computer Trends and Technology (IJCTT),V4(4):688-692 April Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - Diabetic macular edema (DME) is an advanced symptom of diabetic retinopathy which lead to vision loss. Here a methodology comprises of two stages is proposed. First stage is detecting of DME and the next stage is assessing the severity of DME.DME detection is carried out via a supervised learning approach A technique called feature extraction is introduced here to capture the global characteristics of fundus images.It will discriminate the normal images from DME images. A rotational asymmetry metric is used to assess disease severity by examining macular region symmetry.Along with this fovea detection is also performed to make detecting process further easier.
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Keywords — Diabetic macular edema, hard exudates, rotational symmetry.diabetic retinopathy.