Abstract
Cup-to-disc ratio (CDR) is one of the most accepted physiological parameters used for diagnosing glaucoma. The accuracy of CDR depends upon correct segmentation of both the optic disc (OD) and the optic cup (OC). Automated detection of this parameter using digital fundus images is not a new approach however still needs improvement. This study was aimed at extracting the optic disc region from the retinal fundus image coupled with a novel approach for diameter measurement in order to facilitate correct CDR calculation. A thresholding technique augmented with a connected component algorithm and morphological operations was used. Furthermore, a vector based approach was utilized for automated measurement of OD diameter. A dataset of 25 glaucomic images annotated by certified ophthalmologists was used to assess the performance. An accuracy of 97.32% was achieved. As the diameter found in this study is close to the actual size of the OD, this approach is worthy of further evaluation of CDR to facilitate reliable diagnosis of glaucoma.
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