A generalisable framework for saliency-based line segment detection
Article
Brown, M., Windridge, D. and Guillemaut, J. 2015. A generalisable framework for saliency-based line segment detection. Pattern Recognition. 48 (12), pp. 3993-4011. https://doi.org/10.1016/j.patcog.2015.06.015
Type | Article |
---|---|
Title | A generalisable framework for saliency-based line segment detection |
Authors | Brown, M., Windridge, D. and Guillemaut, J. |
Abstract | Here we present a novel, information-theoretic salient line segment detector. Existing line detectors typically only use the image gradient to search for potential lines. Consequently, many lines are found, particularly in repetitive scenes. In contrast, our approach detects lines that define regions of significant divergence between pixel intensity or colour statistics. This results in a novel detector that naturally avoids the repetitive parts of a scene while detecting the strong, discriminative lines present. We furthermore use our approach as a saliency filter on existing line detectors to more efficiently detect salient line segments. The approach is highly generalisable, depending only on image statistics rather than image gradient; and this is demonstrated by an extension to depth imagery. Our work is evaluated against a number of other line detectors and a quantitative evaluation demonstrates a significant improvement over existing line detectors for a range of image transformations |
Publisher | Elsevier Science |
Journal | Pattern Recognition |
ISSN | 0031-3203 |
Publication dates | |
Dec 2015 | |
Publication process dates | |
Deposited | 22 Apr 2016 |
Accepted | 25 Jun 2015 |
Output status | Published |
Publisher's version | License |
Copyright Statement | © 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
Additional information | Available online 6 July 2015 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.patcog.2015.06.015 |
Scopus EID | 2-s2.0-84941414018 |
Language | English |
https://repository.mdx.ac.uk/item/864v7
Download files
47
total views7
total downloads0
views this month0
downloads this month