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Retinal vessel segmentation using a multi-scale medialness function

Moghimirad, Elahe; Rezatofighi, Seyed; Soltanian-Zadeh, Hamid


Recently, automated segmentation of retinal vessels in optic fundus images has been an important focus of much research. In this paper, we propose a multi-scale method to segment retinal vessels based on a weighted two-dimensional (2D) medialness function. The results of the medialness function are first multiplied by the eigenvalues of the Hessian matrix. Next, centerlines of vessels are extracted using noise reduction and reconnection procedures. Finally, vessel radii are estimated and...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Computers in Biology and Medicine
DOI: 10.1016/j.compbiomed.2011.10.008


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