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Polar Run-Length Features in Segmentation of Retinal Blood Vessels
2009
2009 International Conference on Digital Image Processing
Manual segmentation of retinal blood vessels in optic fundus images is a tiresome task. Several methods have previously been proposed for the automatic segmentation of retinal blood vessels. In this paper we propose a classifierbased method. First the images are preprocessed so that the within class variability of the vessel and background classes are minimized. Next, the image is scanned with a window of a certain size. Polar run-length matrices are simply created by transforming the windows
doi:10.1109/icdip.2009.18
dblp:conf/icdip/RezatofighiRPS09
fatcat:2afnwgittvfatp5klfxrits7hq