A new image reconstruction method for electrical charge tomography system

Image reconstruction is vital for process tomography system. Due to industrial demand for process monitoring and control of solid transport in pneumatic conveyor, electrical charge tomography system using electrostatic charge carried by particles has become vital and attract the attention of many re...

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Main Authors: Rahmat, Mohd. Fua'ad, Isa, Mohd. Daud, S. Raja Hussin, Tengku Ahmad
Format: Article
Published: 2012
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Online Access:http://eprints.utm.my/id/eprint/46499/
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spelling my.utm.464992017-01-31T07:15:22Z http://eprints.utm.my/id/eprint/46499/ A new image reconstruction method for electrical charge tomography system Rahmat, Mohd. Fua'ad Isa, Mohd. Daud S. Raja Hussin, Tengku Ahmad TA Engineering (General). Civil engineering (General) Image reconstruction is vital for process tomography system. Due to industrial demand for process monitoring and control of solid transport in pneumatic conveyor, electrical charge tomography system using electrostatic charge carried by particles has become vital and attract the attention of many researchers. Three image reconstruction algorithm methods known as linear back projection, filtered back projection and least square methods are actively discussed by researchers. In this paper, a new image reconstruction algorithm called least square with regularization (LSR) method will be introduced to improve the previously mentioned method applied in electrical charge tomography. Simulation and experimental data had been used to reconstruct the image. The results were compared and it indicated that LSR method showed better improvement in terms of stability and accuracy of the image. 2012 Article PeerReviewed Rahmat, Mohd. Fua'ad and Isa, Mohd. Daud and S. Raja Hussin, Tengku Ahmad (2012) A new image reconstruction method for electrical charge tomography system. Arabian Journal of Science and Engineering, 37 (6). pp. 1625-1643. ISSN 1319-8025
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Rahmat, Mohd. Fua'ad
Isa, Mohd. Daud
S. Raja Hussin, Tengku Ahmad
A new image reconstruction method for electrical charge tomography system
description Image reconstruction is vital for process tomography system. Due to industrial demand for process monitoring and control of solid transport in pneumatic conveyor, electrical charge tomography system using electrostatic charge carried by particles has become vital and attract the attention of many researchers. Three image reconstruction algorithm methods known as linear back projection, filtered back projection and least square methods are actively discussed by researchers. In this paper, a new image reconstruction algorithm called least square with regularization (LSR) method will be introduced to improve the previously mentioned method applied in electrical charge tomography. Simulation and experimental data had been used to reconstruct the image. The results were compared and it indicated that LSR method showed better improvement in terms of stability and accuracy of the image.
format Article
author Rahmat, Mohd. Fua'ad
Isa, Mohd. Daud
S. Raja Hussin, Tengku Ahmad
author_facet Rahmat, Mohd. Fua'ad
Isa, Mohd. Daud
S. Raja Hussin, Tengku Ahmad
author_sort Rahmat, Mohd. Fua'ad
title A new image reconstruction method for electrical charge tomography system
title_short A new image reconstruction method for electrical charge tomography system
title_full A new image reconstruction method for electrical charge tomography system
title_fullStr A new image reconstruction method for electrical charge tomography system
title_full_unstemmed A new image reconstruction method for electrical charge tomography system
title_sort new image reconstruction method for electrical charge tomography system
publishDate 2012
url http://eprints.utm.my/id/eprint/46499/
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score 13.160551