Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates

Patrick Giordano; Daniel Barrot; Jonathan Corriveau; Shreekanth Mandayam; Beena Sukumaran

doi:10.1109/IST.2006.1650794

Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates

Patrick Giordano
, Daniel Barrot
, Jonathan Corriveau
, Shreekanth Mandayam
, Beena Sukumaran

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

The properties of geomaterial aggregates, mainly flow and shear characteristics, are significantly dependent on the shapes of the particles in the mixture. 3D particle models that have been previously developed to quantify this dependence have proved complex and expensive. This paper describes an optical tomography technique for the acquisition of real particle data that can be characterized using 3D shape descriptors. The algebraic reconstruction technique (ART) is used to synthesize 3D particle shapes from 2D tomography projections. Results demonstrating the efficacy of the method on a set of sand mixtures are presented.

Original language	English (US)
Title of host publication	IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques
Pages	154-156
Number of pages	3
DOIs	https://doi.org/10.1109/IST.2006.1650794
State	Published - 2006
Event	IST 2006 - 2006 IEEE International Workshop on Imagining Systems and Techniques - Ninori, Italy Duration: Apr 29 2006 → Apr 29 2006

Publication series

Name	IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques
Volume	2006

Other

Other	IST 2006 - 2006 IEEE International Workshop on Imagining Systems and Techniques
Country/Territory	Italy
City	Ninori
Period	4/29/06 → 4/29/06

All Science Journal Classification (ASJC) codes

General Engineering

Access to Document

10.1109/IST.2006.1650794

Cite this

Giordano, P., Barrot, D., Corriveau, J., Mandayam, S., & Sukumaran, B. (2006). Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates. In IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques (pp. 154-156). Article 1650794 (IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques; Vol. 2006). https://doi.org/10.1109/IST.2006.1650794

Giordano, Patrick ; Barrot, Daniel ; Corriveau, Jonathan et al. / Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates. IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques. 2006. pp. 154-156 (IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques).

@inproceedings{da2e6dde999e4be084dfe134e48415a0,

title = "Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates",

abstract = "The properties of geomaterial aggregates, mainly flow and shear characteristics, are significantly dependent on the shapes of the particles in the mixture. 3D particle models that have been previously developed to quantify this dependence have proved complex and expensive. This paper describes an optical tomography technique for the acquisition of real particle data that can be characterized using 3D shape descriptors. The algebraic reconstruction technique (ART) is used to synthesize 3D particle shapes from 2D tomography projections. Results demonstrating the efficacy of the method on a set of sand mixtures are presented.",

author = "Patrick Giordano and Daniel Barrot and Jonathan Corriveau and Shreekanth Mandayam and Beena Sukumaran",

year = "2006",

doi = "10.1109/IST.2006.1650794",

language = "English (US)",

isbn = "1424402514",

series = "IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques",

pages = "154--156",

booktitle = "IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques",

note = "IST 2006 - 2006 IEEE International Workshop on Imagining Systems and Techniques ; Conference date: 29-04-2006 Through 29-04-2006",

}

Giordano, P, Barrot, D, Corriveau, J, Mandayam, S & Sukumaran, B 2006, Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates. in IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques., 1650794, IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques, vol. 2006, pp. 154-156, IST 2006 - 2006 IEEE International Workshop on Imagining Systems and Techniques, Ninori, Italy, 4/29/06. https://doi.org/10.1109/IST.2006.1650794

Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates. / Giordano, Patrick; Barrot, Daniel; Corriveau, Jonathan et al.
IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques. 2006. p. 154-156 1650794 (IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates

AU - Giordano, Patrick

AU - Barrot, Daniel

AU - Corriveau, Jonathan

AU - Mandayam, Shreekanth

AU - Sukumaran, Beena

PY - 2006

Y1 - 2006

N2 - The properties of geomaterial aggregates, mainly flow and shear characteristics, are significantly dependent on the shapes of the particles in the mixture. 3D particle models that have been previously developed to quantify this dependence have proved complex and expensive. This paper describes an optical tomography technique for the acquisition of real particle data that can be characterized using 3D shape descriptors. The algebraic reconstruction technique (ART) is used to synthesize 3D particle shapes from 2D tomography projections. Results demonstrating the efficacy of the method on a set of sand mixtures are presented.

AB - The properties of geomaterial aggregates, mainly flow and shear characteristics, are significantly dependent on the shapes of the particles in the mixture. 3D particle models that have been previously developed to quantify this dependence have proved complex and expensive. This paper describes an optical tomography technique for the acquisition of real particle data that can be characterized using 3D shape descriptors. The algebraic reconstruction technique (ART) is used to synthesize 3D particle shapes from 2D tomography projections. Results demonstrating the efficacy of the method on a set of sand mixtures are presented.

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U2 - 10.1109/IST.2006.1650794

DO - 10.1109/IST.2006.1650794

M3 - Conference contribution

AN - SCOPUS:33845574411

SN - 1424402514

SN - 9781424402519

T3 - IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques

SP - 154

EP - 156

BT - IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques

T2 - IST 2006 - 2006 IEEE International Workshop on Imagining Systems and Techniques

Y2 - 29 April 2006 through 29 April 2006

ER -

Giordano P, Barrot D, Corriveau J, Mandayam S, Sukumaran B. Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates. In IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques. 2006. p. 154-156. 1650794. (IST 2006 - Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques). doi: 10.1109/IST.2006.1650794

Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates

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Imaging systems and algorithms for the numerical characterization of 3D shapes of particle aggregates

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

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Virtual Reality Lab

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