Fringe noise removal of retinal fundus images using trimming regions
Arezoo Ektesabi; Ajay Kapoor Swinburne University of Technology, Melbourne, Victoria, Australia
Abstract
Recent advancements in ophthalmology have been significantly influenced by enhancements in image-processing procedures. Automatic detection of main regions of the eye has been of interest for years, resulting in multiple studies, methodologies for accurate and fast detection of retinal features. Despite the improvements in procedures, majority of the reported techniques cannot perform as accurately in response to the change of the image resolution and size. Therefore, the automated process needs to have the capability of recognizing the input image and irrespective ...
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