Retinal Vessel Segmentation Algorithm Based on Orientation Scores and Frangi Filter

doi:10.12068/j.issn.1005-3026.2020.02.006

Abstract

Abstract: This paper proposes an algorithm based on orientation scores combined with Frangi filter to fix the difficulties caused by bifurcation and crossings of retinal vessels. The Frangi filter， which is constructed by Hessian matrix and suitable for filtering the linear object， is used to enhance the contrast of the blood vessels.The anisotropy and orthogonality of the cake wavelet in the orientation scores are used to filter the blood vessels in multiple angles and directions， which is beneficial to the processing of details and the complete segmentation of the retinal vascular network. The comparison of the method proposed with other existing methods shows that the algorithm is better than other algorithms in processing the bifurcation and crossings， and the measurements of accuracy， sensitivity and specificity are superior to existing algorithms.

Key words: retinal vessel, image segmentation, orientation score, Frangi filter, cake wavelet

CLC Number:

TN919.81

SHE Li-huang， GUO Yi-rong， ZHANG Shi. Retinal Vessel Segmentation Algorithm Based on Orientation Scores and Frangi Filter[J]. Journal of Northeastern University Natural Science, 2020, 41(2): 182-187.

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