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Durham Research Online
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Sequential graph-based extraction of curvilinear structures.

Alharbi, Shuaa S. and Willcocks, Chris and Jackson, Philip T.G. and Alhasson, Haifa F. and Obara, Boguslaw (2019) 'Sequential graph-based extraction of curvilinear structures.', Signal, image and video processing., 13 (5). pp. 941-949.

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.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1007/s11760-019-01431-6
Publisher statement:This is a post-peer-review, pre-copyedit version of an article published in Signal, image and video processing. The final authenticated version is available online at: https://doi.org/10.1007/s11760-019-01431-6
Date accepted:24 January 2019
Date deposited:22 January 2019
Date of first online publication:20 February 2019
Date first made open access:20 February 2020

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