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Accurate Retinal Blood Vessel Segmentation by Using Multi-Resolution Matched Filtering and Directional Region Growing
Mitsutoshi HIMAGA David USHER James F. BOYCE
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2004/01/01
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Machine Vision Applications)
Category: ME and Human Body
retina, fundus image, blood vessel, matched filter, region growing,
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A new method to extract retinal blood vessels from a colour fundus image is described. Digital colour fundus images are contrast enhanced in order to obtain sharp edges. The green bands are selected and transformed to correlation coefficient images by using two sets of Gaussian kernel patches of distinct scales of resolution. Blood vessels are then extracted by means of a new algorithm, directional recursive region growing segmentation or D-RRGS. The segmentation results have been compared with clinically-generated ground truth and evaluated in terms of sensitivity and specificity. The results are encouraging and will be used for further application such as blood vessel diameter measurement.