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Damage Assessment of Diabetic Maculopathy using Retinal Images
Objectives: The objective of the work presented in this paper are two folded: (i) to extract novel features from retinal images, and (ii) to assess the degree of damage owing to diabetic maculopathy Methods: To achieve objectives set forth, hundred images inflicted with diabetic maculopathy were considered. The exudates in the macular region were identified in terms of numbers and the extent of their spread. In addition to this, the percolation of the lipid matters is also determined at the spots of exudates as a function of degree of yellowness. Findings: The significant finding which is first of its kind is estimation of approximate blockage area under direct vision. Applications: This research work has culminated in the development of a damage detection system. In the futuristic prospective the damage assessment system can be extended to be applicable for various kinds of diabetic related retinal damages.
Central Vision, Damage Assessment System, Exudates, Fovea, Retinal Images, Macula.
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