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Sequential graph-based extraction of curvilinear structures

Alharbi, Shuaa S.; Willcocks, Chris; Jackson, Philip T.G.; Alhasson, Haifa F.; Obara, Boguslaw

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Authors

Shuaa S. Alharbi

Philip T.G. Jackson

Haifa F. Alhasson

Boguslaw Obara



Abstract

In this paper, a new approach is proposed to extract an ordered sequence of curvilinear structures in images, capturing the largest and most influential paths first and then progressively extracting smaller paths until a prespecified size is reached. The results are demonstrated both quantitatively and qualitatively using synthetic and real-world images. The method is shown to outperform comparator methods for certain cases of noise, object class, and scale, while remaining fundamentally easier to use due to its low parameter requirement.

Citation

Alharbi, S. S., Willcocks, C., Jackson, P. T., Alhasson, H. F., & Obara, B. (2019). Sequential graph-based extraction of curvilinear structures. Signal, Image and Video Processing, 13(5), 941-949. https://doi.org/10.1007/s11760-019-01431-6

Journal Article Type Article
Acceptance Date Jan 24, 2019
Online Publication Date Feb 20, 2019
Publication Date 2019-07
Deposit Date Jan 22, 2019
Publicly Available Date Mar 29, 2024
Journal Signal, Image and Video Processing
Print ISSN 1863-1703
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 13
Issue 5
Pages 941-949
DOI https://doi.org/10.1007/s11760-019-01431-6

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