A case study demonstrating automatic interpretation and optimization of regularization for electrical resistance tomography

Robert M. West; Henri S. Tapp; D. Mark Spink; Mark A. Bennett; Richard A. Williams

A case study demonstrating automatic interpretation and optimization of regularization for electrical resistance tomography

Robert M. West^*, Henri S. Tapp, D. Mark Spink, Mark A. Bennett, Richard A. Williams

^*Corresponding author for this work

School of Engineering & Physical Sciences

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

4 Citations (SciVal)

Abstract

Single-step reconstruction of electrical resistance tomograms can have speed advantages. Key to obtaining good information from the tomograms is the regularization method used in reconstruction. Automation of image interpretation is another key step. A case study is presented that demonstrates the automation of interpretation followed by optimization of the regularization.

Original language	English
Title of host publication	2nd World Congress on Industrial Process Tomography
Publisher	International Society for Industrial Process Tomography
Pages	696-704
Number of pages	9
ISBN (Print)	9780853163183
Publication status	Published - 2014
Event	2nd World Congress on Industrial Process Tomography - Hannover, Germany Duration: 29 Aug 2001 → 31 Aug 2001

Conference

Conference	2nd World Congress on Industrial Process Tomography
Country/Territory	Germany
City	Hannover
Period	29/08/01 → 31/08/01

Keywords

Electrical resistance tomography
Reconstruction
Regularization

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Computational Mechanics
Computer Vision and Pattern Recognition

Cite this

@inproceedings{63fe4686573a48e88e764ba84236bf0e,

title = "A case study demonstrating automatic interpretation and optimization of regularization for electrical resistance tomography",

abstract = "Single-step reconstruction of electrical resistance tomograms can have speed advantages. Key to obtaining good information from the tomograms is the regularization method used in reconstruction. Automation of image interpretation is another key step. A case study is presented that demonstrates the automation of interpretation followed by optimization of the regularization.",

keywords = "Electrical resistance tomography, Reconstruction, Regularization",

author = "West, {Robert M.} and Tapp, {Henri S.} and {Mark Spink}, D. and Bennett, {Mark A.} and Williams, {Richard A.}",

year = "2014",

language = "English",

isbn = "9780853163183",

pages = "696--704",

booktitle = "2nd World Congress on Industrial Process Tomography",

publisher = "International Society for Industrial Process Tomography",

note = "2nd World Congress on Industrial Process Tomography ; Conference date: 29-08-2001 Through 31-08-2001",

}

West, RM, Tapp, HS, Mark Spink, D, Bennett, MA & Williams, RA 2014, A case study demonstrating automatic interpretation and optimization of regularization for electrical resistance tomography. in 2nd World Congress on Industrial Process Tomography. International Society for Industrial Process Tomography, pp. 696-704, 2nd World Congress on Industrial Process Tomography, Hannover, Germany, 29/08/01.

A case study demonstrating automatic interpretation and optimization of regularization for electrical resistance tomography. / West, Robert M.; Tapp, Henri S.; Mark Spink, D. et al.
2nd World Congress on Industrial Process Tomography. International Society for Industrial Process Tomography, 2014. p. 696-704.

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

TY - GEN

T1 - A case study demonstrating automatic interpretation and optimization of regularization for electrical resistance tomography

AU - West, Robert M.

AU - Tapp, Henri S.

AU - Mark Spink, D.

AU - Bennett, Mark A.

AU - Williams, Richard A.

PY - 2014

Y1 - 2014

N2 - Single-step reconstruction of electrical resistance tomograms can have speed advantages. Key to obtaining good information from the tomograms is the regularization method used in reconstruction. Automation of image interpretation is another key step. A case study is presented that demonstrates the automation of interpretation followed by optimization of the regularization.

AB - Single-step reconstruction of electrical resistance tomograms can have speed advantages. Key to obtaining good information from the tomograms is the regularization method used in reconstruction. Automation of image interpretation is another key step. A case study is presented that demonstrates the automation of interpretation followed by optimization of the regularization.

KW - Electrical resistance tomography

KW - Reconstruction

KW - Regularization

UR - http://www.scopus.com/inward/record.url?scp=84909992291&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84909992291

SN - 9780853163183

SP - 696

EP - 704

BT - 2nd World Congress on Industrial Process Tomography

PB - International Society for Industrial Process Tomography

T2 - 2nd World Congress on Industrial Process Tomography

Y2 - 29 August 2001 through 31 August 2001

ER -

A case study demonstrating automatic interpretation and optimization of regularization for electrical resistance tomography

Abstract

Conference

Keywords

ASJC Scopus subject areas

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