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dc.contributor.authorDharmawan, Dhimas Ariefen
dc.contributor.authorNg, Boon Pohen
dc.contributor.authorRahardja, Susantoen
dc.identifier.citationDharmawan, D. A., Ng, B. P., & Rahardja, S. (2018). A Modified Dolph-Chebyshev Type II Function Matched Filter for Retinal Vessels Segmentation. Symmetry, 10(7), 257-. doi:10.3390/sym10070257en
dc.description.abstractIn 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.en
dc.format.extent16 p.en
dc.rights© 2018 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
dc.subjectFundus Imageen
dc.subjectMatched Filteren
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleA modified dolph-chebyshev type ii function matched filter for retinal vessels segmentationen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.description.versionPublished versionen
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