A modified dolph-chebyshev type ii function matched filter for retinal vessels segmentation

A modified dolph-chebyshev type ii function matched filter for retinal vessels segmentation

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 th...

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Bibliographic Details
Main Authors: Dharmawan, Dhimas Arief, Ng, Boon Poh, Rahardja, Susanto
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Fundus Image
Matched Filter
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/88375
http://hdl.handle.net/10220/45743
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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