Sequential graph-based extraction of curvilinear structures

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

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: Feb 20, 2020
• Journal: Signal, Image and Video Processing
• Print ISSN: 1863-1703
• Electronic ISSN: 1863-1711
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Issue: 5
• Pages: 941-949
• DOI: https://doi.org/10.1007/s11760-019-01431-6
• Public URL: https://durham-repository.worktribe.com/output/1339272