An Automatic Detection and Assessment of Diabetic Macular Edema Along With Fovea Detection from Color Retinal Images
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International Journal of Computer & Organization Trends (IJCOT) | 
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| © 2013 by IJCOT Journal | ||
| Volume-3 Issue-1 |
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| Year of Publication : 2013 | ||
| Authors : S.Fowjiya , M.Karnan ,R. Sivakumar |
Citation
S.Fowjiya , M.Karnan ,R. Sivakumar An Automatic Detection and Assessment of Diabetic Macular Edema Along With Fovea Detection from Color Retinal Images . International Journal of Computer & organization Trends (IJCOT), V3(1):49-53 Jan - Feb 2013, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract
Diabetic macular edema (DME) is an advanced sym ptom 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 sever ity by examining macular region symmetry.Along with this fovea de tection is also performed to make detecting process further easier
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Keywords
Diabetic macularedema, hardexudates,rotational symmetry.diabeticretinopathy