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10 May 2018 Particle swarm optimization method for small retinal vessels detection on multiresolution fundus images
Bilal Khomri, Argyrios Christodoulidis, Leila Djerou, Mohamed Chaouki Babahenini, Farida Cheriet
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Journal of Biomedical Optics, Vol. 23, Issue 5, 056004 (May 2018). https://doi.org/10.1117/1.JBO.23.5.056004
Abstract
Retinal vessel segmentation plays an important role in the diagnosis of eye diseases and is considered as one of the most challenging tasks in computer-aided diagnosis (CAD) systems. The main goal of this study was to propose a method for blood-vessel segmentation that could deal with the problem of detecting vessels of varying diameters in high- and low-resolution fundus images. We proposed to use the particle swarm optimization (PSO) algorithm to improve the multiscale line detection (MSLD) method. The PSO algorithm was applied to find the best arrangement of scales in the MSLD method and to handle the problem of multiscale response recombination. The performance of the proposed method was evaluated on two low-resolution (DRIVE and STARE) and one high-resolution fundus (HRF) image datasets. The data include healthy (H) and diabetic retinopathy (DR) cases. The proposed approach improved the sensitivity rate against the MSLD by 4.7% for the DRIVE dataset and by 1.8% for the STARE dataset. For the high-resolution dataset, the proposed approach achieved 87.09% sensitivity rate, whereas the MSLD method achieves 82.58% sensitivity rate at the same specificity level. When only the smallest vessels were considered, the proposed approach improved the sensitivity rate by 11.02% and by 4.42% for the healthy and the diabetic cases, respectively. Integrating the proposed method in a comprehensive CAD system for DR screening would allow the reduction of false positives due to missed small vessels, misclassified as red lesions.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2018/$25.00 © 2018 SPIE
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Bilal Khomri, Argyrios Christodoulidis, Leila Djerou, Mohamed Chaouki Babahenini, and Farida Cheriet "Particle swarm optimization method for small retinal vessels detection on multiresolution fundus images," Journal of Biomedical Optics 23(5), 056004 (10 May 2018). https://doi.org/10.1117/1.JBO.23.5.056004
Received: 22 December 2017; Accepted: 10 April 2018; Published: 10 May 2018
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Cited by 6 scholarly publications.
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KEYWORDS
Image segmentation
Particle swarm optimization
Genetic algorithms
Databases
Optimization (mathematics)
Particles
Image processing algorithms and systems
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