Extraction Optic Disc of the Digital Image Eye Fundus using Deformable Model

In the medical world a proper diagnosis of the disease will help in the treatment of the disease itself. For example, the separation of optic disc features the eye fundus digital images, it has the objective to distinguish it from other features. Detection of the optic disc is required to distinguish the bright lesion (exudates), which have similar visual characteristics of the optic disc. To do that, we need a detector that features one eye to detect features of Optic Disc. In this study the detection features of Optic Disc using methods previously done Deformable Model preprocessing beforehand to eliminate noise features, vascular, image smoothing and edge detection. Research results are compared with the results extracted manually by humans. The proposed extraction method successfully detected Optic Disc with accuracy 99.63%, sensitivity 85.54% and specificity 99.66%.