International Journal of Computer
& Organization Trends

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Volume 3 | Issue 1 | Year 2013 | Article Id. IJCOT-V3I3P308 | DOI : https://doi.org/10.14445/22492593/IJCOT-V3I3P308

An Automatic Detection and Assessment of Diabetic Macular Edema Along With Fovea Detection from Color Retinal Images

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), vol. 3, no. 1, pp. 49-53, 2013. Crossref, https://doi.org/10.14445/22492593/ IJCOT-V3I3P308

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

Keywords

Diabetic macularedema, hardexudates,rotational symmetry.diabeticretinopathy

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