Purpose: To introduce an automated system that assesses the image quality of the optic disc region and to test its performance in retinal fundus images.
Methods: We developed an Automated Retinal Interest Estimator System to automatically assess the quality of input images as a preprocessing step before passing the images for subsequent analysis. In this way, our system will evaluate the quality of input for computer-aided diagnosis (CAD). The system assesses the quality of an image in three steps. Firstly, a retinal image identification step is used to classify whether the input image is a retinal fundus image. Secondly, a re-evaluation step is performed on non-retinal images for confirmation. Lastly, the optic disc region of interest is located and high level features are extracted to perform quality assessment.