Haifa Alhasson
The relationship between curvilinear structure enhancement and ridge detection approaches
Alhasson, Haifa; Willcocks, Chris G.; Alharbi, Shuaa S.; Kasim, Adetayo; Obara, Boguslaw
Authors
Dr Chris Willcocks christopher.g.willcocks@durham.ac.uk
Associate Professor
Shuaa S. Alharbi
Adetayo Kasim
Boguslaw Obara
Abstract
Curvilinear structure detection and quantification is a large research area with many imaging applications in fields such as biology, medicine, and engineering. Curvilinear enhancement is often used as a pre-processing stage for ridge detection, but there has been little investigation into the relationship between enhancement and ridge detection. In this paper, we thoroughly evaluate the pair-wise combinations of different curvilinear enhancement and ridge detection methods across two highly varied datasets, as well as samples of three other datasets. In particular, we present the approaches complementing one another and the gained insights, which will aid researchers in designing generic ridge detectors.
Citation
Alhasson, H., Willcocks, C. G., Alharbi, S. S., Kasim, A., & Obara, B. (2021). The relationship between curvilinear structure enhancement and ridge detection approaches. Visual Computer, 37(8), 2263-2283. https://doi.org/10.1007/s00371-020-01985-4
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 3, 2020 |
Online Publication Date | Oct 22, 2020 |
Publication Date | 2021-08 |
Deposit Date | Sep 3, 2020 |
Publicly Available Date | Oct 22, 2021 |
Journal | Visual Computer |
Print ISSN | 0178-2789 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 37 |
Issue | 8 |
Pages | 2263-2283 |
DOI | https://doi.org/10.1007/s00371-020-01985-4 |
Files
Accepted Journal Article
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Copyright Statement
This is a post-peer-review, pre-copyedit version of a journal article published in The Visual Computer. The final authenticated version is available online at: https://doi.org/10.1007/s00371-020-01985-4
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