DETECTION OF MICRO ANEURYSMS USING MULTIPLE CLASSIFIERS AND HIDDEN MARKOV MODELS

Diabetic retinopathy is a complication of diabetes and early detection is essential for effective treatment. In this paper, a novel technique for the detection of micro aneurysms is presented. Various features are extracted using image processing techniques and then fed through multiple classifiers for initial classification of candidate micro aneurysms. Hidden Markov models are then used to perform contextual analysis to recognise true micro aneurysms.