OD localization using vessel based image orientation independent approaches
Version 1Automatic Optic Disc (OD) localization is an essential problem in ophthalmic image processing. Knowing its location not only helps doctors with the early detection of sight threatening diseases but provide early diagnostic solutions for patient. With the existing methods, there are limitations on computation time and disorientated image cases. Many algorithms fail to locate the OD if the input image is tilted by a certain degree. This thesis presents two machine learning methods which mainly rel
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Automatic Optic Disc (OD) localization is an essential problem in ophthalmic image processing. Knowing its location not only helps doctors with the early detection of sight threatening diseases but provide early diagnostic solutions for patient. With the existing methods, there are limitations on computation time and disorientated image cases. Many algorithms fail to locate the OD if the input image is tilted by a certain degree. This thesis presents two machine learning methods which mainly rel