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

• 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
• Institution: Nanyang Technological University

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.