Difference between revisions of "Publications/puybareau.17.ismm"
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(Created page with "{{Publication | published = true | date = 2017-02-23 | authors = Elodie Puybareau, Hugues Talbot, Noha Gaber, Tarik Bourouina | title = Morphological Analysis of Brownian Moti...") |
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| address = Fontainebleau, France |
| address = Fontainebleau, France |
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| publisher = Springer |
| publisher = Springer |
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− | | abstract = Brownian motion is a well-known, apparently chaotic mo- tion affecting microscopic objects in fluid media. The mathematical and physical basis of Brownian motion have been well studied but not often exploited. In this article we propose a particle tracking methodology based on mathematical morphology, suitable for Brownian motion |
+ | | abstract = Brownian motion is a well-known, apparently chaotic mo- tion affecting microscopic objects in fluid media. The mathematical and physical basis of Brownian motion have been well studied but not often exploited. In this article we propose a particle tracking methodology based on mathematical morphology, suitable for Brownian motion analysis, which can provide difficult physical measurements such as the local temperature and viscosity. We illustrate our methodology on simulation and real data, showing that interesting phenomena and good precision can be achieved. |
| lrdepaper = http://www.lrde.epita.fr/dload/papers/puybareau.17.ismm.pdf |
| lrdepaper = http://www.lrde.epita.fr/dload/papers/puybareau.17.ismm.pdf |
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| lrdekeywords = Image |
| lrdekeywords = Image |
Revision as of 20:01, 21 December 2017
- Authors
- Elodie Puybareau, Hugues Talbot, Noha Gaber, Tarik Bourouina
- Where
- Mathematical Morphology and Its Application to Signal and Image Processing -- Proceedings of the 13th International Symposium on Mathematical Morphology (ISMM)
- Place
- Fontainebleau, France
- Type
- inproceedings
- Publisher
- Springer
- Keywords
- Image
- Date
- 2017-02-23
Abstract
Brownian motion is a well-known, apparently chaotic mo- tion affecting microscopic objects in fluid media. The mathematical and physical basis of Brownian motion have been well studied but not often exploited. In this article we propose a particle tracking methodology based on mathematical morphology, suitable for Brownian motion analysis, which can provide difficult physical measurements such as the local temperature and viscosity. We illustrate our methodology on simulation and real data, showing that interesting phenomena and good precision can be achieved.
Documents
Bibtex (lrde.bib)
@InProceedings{ puybareau.17.ismm, author = {Elodie Puybareau and Hugues Talbot and Noha Gaber and Tarik Bourouina}, title = {Morphological Analysis of Brownian Motion for Physical Measurements}, booktitle = {Mathematical Morphology and Its Application to Signal and Image Processing -- Proceedings of the 13th International Symposium on Mathematical Morphology (ISMM)}, year = {2017}, editor = {J. Angulo and S. Velasco-Forero and F. Meyer}, volume = {10225}, series = {Lecture Notes in Computer Science}, pages = {486-497}, month = may, address = {Fontainebleau, France}, publisher = {Springer}, abstract = {Brownian motion is a well-known, apparently chaotic mo- tion affecting microscopic objects in fluid media. The mathematical and physical basis of Brownian motion have been well studied but not often exploited. In this article we propose a particle tracking methodology based on mathematical morphology, suitable for Brownian motion analysis, which can provide difficult physical measurements such as the local temperature and viscosity. We illustrate our methodology on simulation and real data, showing that interesting phenomena and good precision can be achieved.} }