Maroillez, B. (2003). Real World Image Analysis. Masters thesis, Aston University.
Abstract
This thesis considers some of the image processing problems in trying to construct an automated system for detecting near-shore water-borne pollution (oil slicks) using land mounted visible band cameras. In particular, we develop a novel approach to the uniform scene illumination problem to retrieve reflectance more accurately, prior to segmentation. We also introduce a simple Kalman filter approach to exploit some of the dynamic information content across images through time to improve the slick segmentation through a probabilistic model.
| Publication DOI: | https://doi.org/10.48780/publications.aston.ac.uk.00021491 |
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| Divisions: | College of Engineering & Physical Sciences |
| Additional Information: | Copyright © Maroillez, B., 2003. Maroillez, B. asserts their moral right to be identified as the author of this thesis. This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from it may be published without appropriate permission or acknowledgement. If you have discovered material in Aston Publications Explorer which is unlawful e.g. breaches copyright, (either yours or that of a third party) or any other law, including but not limited to those relating to patent, trademark, confidentiality, data protection, obscenity, defamation, libel, then please read our Takedown Policy and contact the service immediately. |
| Institution: | Aston University |
| Uncontrolled Keywords: | informatio engineering,image analysis |
| Last Modified: | 01 May 2025 12:58 |
| Date Deposited: | 19 Mar 2014 11:50 |
| Completed Date: | 2003 |
| Authors: |
Maroillez, B.
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