M. Rochery
Gap Closure in (Road) Networks Using Higher-Order Active Contours
Rochery, M.; Jermyn, I.H.; Zerubia, J.
Abstract
We present a new model for the extraction of networks from images in the presence of occlusions. Such occlusions cause gaps in the extracted network that need to he closed. Using higher-order active contours, which allow the incorporation of sophisticated geometric information, we introduce a new, non-local, 'gap closure' force that causes pairs of network extremities that are close together to extend towards one another and join, thus closing the gap between them. We demonstrate the benefits of the model using the problem of road network extraction, presenting results on aerial images.
Citation
Rochery, M., Jermyn, I., & Zerubia, J. (2004). Gap Closure in (Road) Networks Using Higher-Order Active Contours. In 2004 International Conference on Image Processing (ICIP '04) : proceedings : 24-27 October, 2004, Singapore (1879-1882). https://doi.org/10.1109/icip.2004.1421444
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | IEEE International Conference on Image Processing (ICIP) |
Start Date | Oct 24, 2004 |
End Date | Oct 27, 2004 |
Publication Date | Oct 27, 2004 |
Deposit Date | Aug 12, 2011 |
Publicly Available Date | May 17, 2016 |
Volume | 3 |
Pages | 1879-1882 |
Series ISSN | 1522-4880 |
Book Title | 2004 International Conference on Image Processing (ICIP '04) : proceedings : 24-27 October, 2004, Singapore. |
DOI | https://doi.org/10.1109/icip.2004.1421444 |
Public URL | https://durham-repository.worktribe.com/output/1157941 |
Additional Information | Date of Conference 24-27 October 2004 |
Files
Accepted Conference Proceeding
(169 Kb)
PDF
Copyright Statement
© 2004 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models
(2019)
Presentation / Conference Contribution
Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach
(2020)
Presentation / Conference Contribution
Shape-constrained and unconstrained density estimation using geometric exploration
(2018)
Presentation / Conference Contribution
Elastic 3D shape analysis using square-root normal field representation
(2017)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search