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Symmetry 2018, 10(7), 257; https://doi.org/10.3390/sym10070257

A Modified Dolph-Chebyshev Type II Function Matched Filter for Retinal Vessels Segmentation

1
School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
2
School of Marine Science and Technology, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
Received: 3 June 2018 / Revised: 26 June 2018 / Accepted: 27 June 2018 / Published: 3 July 2018
(This article belongs to the Special Issue Symmetry in Computing Theory and Application)
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Abstract

In this paper, we present a new unsupervised algorithm for retinal vessels segmentation. The algorithm utilizes a directionally sensitive matched filter bank using a modified Dolph-Chebyshev type II basis function and a new method to combine the matched filter bank’s responses. Fundus images from the DRIVE and STARE databases, as well as high-resolution fundus images from the HRF database, are utilized to validate the proposed algorithm. The results that we achieve on the three databases (DRIVE: Sensitivity = 0.748, F1-score = 0.786, G-score = 0.856, Matthews Correlation Coefficient = 0.758; STARE: Sensitivity = 0.793, F1-score = 0.780, G-score = 0.877, Matthews Correlation Coefficient = 0.756; HRF: Sensitivity = 0.804, F1-score = 0.764, G-score = 0.883, Matthews Correlation Coefficient = 0.741) are higher than many other competing methods. View Full-Text
Keywords: fundus image; matched filter; modified Dolph-Chebyshev type II function; retinal vessels segmentation fundus image; matched filter; modified Dolph-Chebyshev type II function; retinal vessels segmentation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Dharmawan, D.A.; Ng, B.P.; Rahardja, S. A Modified Dolph-Chebyshev Type II Function Matched Filter for Retinal Vessels Segmentation. Symmetry 2018, 10, 257.

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