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Pitkäaho, Tomi, Pitkäkangas, Ville, Niemelä, Mikko, Rajput, Sudheesh, Nishchal, Naveen K. and Naughton, Thomas J. (2017) Digital holographic sensor network and image analyses for distributed potable water monitoring. In: Irish Machine Vision and Image Processing Conference Proceedings 2017. Irish Pattern Recognition & Classification Society, pp. 221-224. ISBN 978-0-9934207-2-6
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Abstract
Water-related diseases affect societies in all parts of the world. On-line sensors are considered as a
solution to the problems of low sampling density and time-consuming culturing methods associated with
laboratory testing for microbiological content in potable water. Digital holographic microscopy (DHM) has
been shown to be well suited to image microscopic objects, especially in laboratory environments, and
has the potential to rival state-of-the-art techniques such as advanced turbidity measurement. In this paper, we
provide a solution that permits DHM to be applied to a whole class of on-line remote sensor networks, of
which potable water analysis is one example.
| Item Type: | Book Section |
|---|---|
| Additional Information: | This paper was presented at the 19th Irish Machine Vision and Image Processing conference (IMVIP 2017) Aug 30th-Sept 1st, 2017, Maynooth, Ireland. |
| Keywords: | digital holographic microscopy; water quality; compression; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 12038 |
| Depositing User: | Thomas Naughton |
| Date Deposited: | 18 Dec 2019 11:01 |
| Publisher: | Irish Pattern Recognition & Classification Society |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/12038 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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