Modelling intensity and gradient distribution of 3D tomography data for direct extraction of physical parameters and robust evaluation of segmentation

Elise O. Brenne; Vedrana A. Dahl; Peter S. Jørgensen

Modelling intensity and gradient distribution of 3D tomography data for direct extraction of physical parameters and robust evaluation of segmentation

Elise O. Brenne^*, Vedrana A. Dahl, Peter S. Jørgensen

^*Corresponding author for this work

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Abstract

We propose a novel intensity distribution model for material interfaces. Intensity gradient informa-tion is exploited for robust model fitting. Our model allows for direct extraction of physical sample parameters,assists segmentation, and provides a methodology for evaluating segmentation results.

Original language	English
Publication date	2019
Number of pages	2
Publication status	Published - 2019
Event	2019 International Conference on Tomography of Materials & Structures - Pullman Cairns International, Cairns, Australia Duration: 22 Jul 2019 → 26 Jul 2019 http://ictms2019.org/

Conference

Conference	2019 International Conference on Tomography of Materials & Structures
Location	Pullman Cairns International
Country/Territory	Australia
City	Cairns
Period	22/07/2019 → 26/07/2019
Internet address	http://ictms2019.org/

Keywords

X-ray tomography
3D image analysis
Microstructural characterization
Physical parameter extraction
Automated data analysis

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5c6d1dd49d048 ICTMS abstract Elise O BrenneFinal published version, 465 KB

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title = "Modelling intensity and gradient distribution of 3D tomography data for direct extraction of physical parameters and robust evaluation of segmentation",

abstract = "We propose a novel intensity distribution model for material interfaces. Intensity gradient informa-tion is exploited for robust model fitting. Our model allows for direct extraction of physical sample parameters,assists segmentation, and provides a methodology for evaluating segmentation results.",

keywords = "X-ray tomography, 3D image analysis, Microstructural characterization, Physical parameter extraction, Automated data analysis",

author = "Brenne, {Elise O.} and Dahl, {Vedrana A.} and J{\o}rgensen, {Peter S.}",

year = "2019",

language = "English",

note = "2019 International Conference on Tomography of Materials & Structures, ICTMS 2019 ; Conference date: 22-07-2019 Through 26-07-2019",

url = "http://ictms2019.org/",

}

Modelling intensity and gradient distribution of 3D tomography data for direct extraction of physical parameters and robust evaluation of segmentation. / Brenne, Elise O.; Dahl, Vedrana A.; Jørgensen, Peter S.
2019. Abstract from 2019 International Conference on Tomography of Materials & Structures, Cairns, Queensland, Australia.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Modelling intensity and gradient distribution of 3D tomography data for direct extraction of physical parameters and robust evaluation of segmentation

AU - Brenne, Elise O.

AU - Dahl, Vedrana A.

AU - Jørgensen, Peter S.

PY - 2019

Y1 - 2019

N2 - We propose a novel intensity distribution model for material interfaces. Intensity gradient informa-tion is exploited for robust model fitting. Our model allows for direct extraction of physical sample parameters,assists segmentation, and provides a methodology for evaluating segmentation results.

AB - We propose a novel intensity distribution model for material interfaces. Intensity gradient informa-tion is exploited for robust model fitting. Our model allows for direct extraction of physical sample parameters,assists segmentation, and provides a methodology for evaluating segmentation results.

KW - X-ray tomography

KW - 3D image analysis

KW - Microstructural characterization

KW - Physical parameter extraction

KW - Automated data analysis

M3 - Conference abstract for conference

T2 - 2019 International Conference on Tomography of Materials & Structures

Y2 - 22 July 2019 through 26 July 2019

ER -

Modelling intensity and gradient distribution of 3D tomography data for direct extraction of physical parameters and robust evaluation of segmentation

Abstract

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Keywords

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