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An improved image processing method for particle characterization by shadowgraphy

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An improved image processing method for particle characterization by shadowgraphy

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Wang, H.; Felis, F.; Tomas, S.; Anselmet, F.; Amielh, M. (2017). An improved image processing method for particle characterization by shadowgraphy. En Ilass Europe. 28th european conference on Liquid Atomization and Spray Systems. Editorial Universitat Politècnica de València. 962-967. https://doi.org/10.4995/ILASS2017.2017.4614

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/100201

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Title: An improved image processing method for particle characterization by shadowgraphy
Author: Wang, Hua Felis, Francisco Tomas, Severine Anselmet, Fabien Amielh, Muriel
Issued date:
Abstract:
[EN] Shadowgraphy is one of the most popular imaging techniques to characterize moving particles by their size, geometry as well as velocity, due to its simplicity. However, it requires advanced image processing to ...[+]
Subjects: Shadowgraphy , Image processing , Particle characterization
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490485804
Source:
Ilass Europe. 28th european conference on Liquid Atomization and Spray Systems.
DOI: 10.4995/ILASS2017.2017.4614
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/ILASS/ILASS2017/paper/view/4614
Conference name: ILASS2017 - 28th European Conference on Liquid Atomization and Spray Systems
Conference place: Valencia, Spain
Conference date: September 06-08,2017
Thanks:
This work is supported by a collaboration project among IRSTEA, IRPHE and Dantec Dynamics A/S, aiming to improve characterization of moving irregular particles by shadowgraphy measurements.
Type: Capítulo de libro Comunicación en congreso

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