Comparison of Colour Spaces for Optic Disc Localisation in Retinal Images
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A Model-Based Approach for Automated Feature Extraction in Fundus Images
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Retinal vessel extraction by a combined neural network-wavelet enhancement method
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Automatic detection of the optic disc using majority voting in a collection of optic disc detectors
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Fast localization of the optic disc using projection of image features
IEEE Transactions on Image Processing
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An automatic detection of the position of optic disc (OD) is an important step in a deep analysis of retinal images, due to the fact that information about OD can be used to examine the severity of some ophthalmic pathology via the extraction of a region of interest. Since errors caused by artifacts and bright fringes on retinal images could affect results in image processing, in this work a Composite Architecture for an accurate identification of the centre of OD is presented. More in detail, a Maximum Difference Evaluation Subsystem and a Maximum Gray Level Evaluation Subsystem are combined to analyze retinal images in parallel and find possible values of the centre of optic disc in different ways; locations of resulting pixels are then processed by an OD Centre Positioning Subsystem, which provides a reliable point to be adopted as the centre of the optic disc as effectively as possible. Simulation results are reported on selected fundus oculi images.