Algorithms for digital image processing in diabetic retinopathy
Received 9 April 2009; received in revised form 1 June 2009; accepted 22 June 2009.
Abstract
This work examined recent literature on digital image processing in the field of diabetic retinopathy. Algorithms were categorized into 5 steps (preprocessing; localization and segmentation of the optic disk; segmentation of the retinal vasculature; localization of the macula and fovea; localization and segmentation of retinopathy). The variety of outcome measures, use of a gold standard or ground truth, data sample sizes and the use of image databases is discussed. It is intended that our classification of algorithms into a small number of categories, definition of terms and discussion of evolving techniques will provide guidance to algorithm designers for diabetic retinopathy.
aHealth and Rehabilitation Sciences Research Institute, University of Ulster, Shore Road, Newtownabbey BT37 0QB, United Kingdom
bSchool of Computing and Information Engineering, University of Ulster, Cromore Road, Coleraine BT52 1SA, United Kingdom
cHealth and Social Care Research and Development Office, 12 – 22 Linenhall Street, Belfast BT2 8BS, United Kingdom
dNorthern Ireland Diabetic Retinopathy Screening Service, Belfast Health and Social Care Trust, Royal Group of Hospitals, Grosvenor Road, Belfast BT12 6BA, United Kingdom