Lampert, Thomas and O'Keefe, Simon orcid.org/0000-0001-5957-2474 (2010) An active contour algorithm for spectrogram track detection. Pattern Recognition Letters. pp. 1201-1206.
Abstract
This paper proposes an active contour framework for spectrogram track detection. A potential energy is proposed which results in feature extraction at a signal-to-noise ratio (SNR) of 0.5 dB. We show, through complexity analysis, that this is achievable in real-time.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | Copyright © 2009 Elsevier. This is an author produced version of the published paper. Uploaded in accordance with the publisher's self-archiving policy. |
| Keywords: | Active contour,Periodic time series,Remote sensing,Low signal-to-noise ratio,Spectrogram,Statistical pattern recognition |
| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
| Depositing User: | Pure (York) |
| Date Deposited: | 07 Jun 2012 12:05 |
| Last Modified: | 19 Sep 2025 23:29 |
| Published Version: | https://doi.org/10.1016/j.patrec.2009.09.021 |
| Status: | Published |
| Refereed: | Yes |
| Identification Number: | 10.1016/j.patrec.2009.09.021 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:46266 |

CORE (COnnecting REpositories)
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