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Title: A modified dolph-chebyshev type ii function matched filter for retinal vessels segmentation
Authors: Dharmawan, Dhimas Arief
Ng, Boon Poh
Rahardja, Susanto
Keywords: Fundus Image
Matched Filter
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Dharmawan, 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/sym10070257
Series/Report no.: Symmetry
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.
ISSN: 2073-8994
DOI: 10.3390/sym10070257
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 (
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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