Retinal image analysis aimed at blood vessel segmentation and neural layer detection

The lecture will summarise results of the long-term project concerning processing and analysis of multimodal retinal image data. The project is run at the Dept. of BME, FEEC, Brno University of Technology in frame of the DAR research centre coordinated by the Inst. of Information Theory and Automation, Cz.Ac.Sci. Prague, in cooperation with the Clinic of Ophthalmology, University Erlangen (D) and also with the Ophthalmologic Centre, Zlin (CZ). From the medical application point of view, the main idea is the improvement of retina based diagnostics (primarily of glaucoma) utilising automatic reproducible image segmentation and analysis, independent on the evaluator. The used methodology encompasses many approaches that are to be combined and partially modified in order to achieve - in the end - reliable, clinically applicable procedures. Besides describing the long term development of the research, particular interest will be devoted to some of the latest results, concerning blood vessel segmentation using 2D matched filtering and retinal neural layer detection via texture analysis.