Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography
An image reconstruction algorithm in process tomography is very important in ensure that the reconstructed image is satisfied. The back-projection algorithm is the most popular algorithm applied in process tomography including a linear back-projection (LBP) algorithm and a filtered back-projection...
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Online Access: | http://umpir.ump.edu.my/id/eprint/19738/ http://umpir.ump.edu.my/id/eprint/19738/ http://umpir.ump.edu.my/id/eprint/19738/1/lbpvsfbp_JT%20to%20IJIE%202017.pdf |
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ump-197382018-01-23T06:01:18Z http://umpir.ump.edu.my/id/eprint/19738/ Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography Yasmin, Abdul Wahab Ruzairi, Abdul Rahim Fazalul, Rahiman Suzzana, Ridzuan Aw Fazlul Rahman, Mohd Yunus Jaysuman, Pusppanathan Nor Muzakkir , Nor Ayob Leow, Pei Ling TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering An image reconstruction algorithm in process tomography is very important in ensure that the reconstructed image is satisfied. The back-projection algorithm is the most popular algorithm applied in process tomography including a linear back-projection (LBP) algorithm and a filtered back-projection (FBP) algorithm. The objectives of this paper are: (1) to compare the result from LBP and FBP algorithm in soft-field tomography, and (2) to investigate the effect of FBP algorithm to a reconstructed image in soft-field tomography. Also, a comparison between hard-field tomography (ultrasonic tomography) and soft-field tomography (electrical resistance tomography, ERT) had been discussed in this paper. The ERT had been conducted based on a simulation using COMSOL Multiphysics live link with MATLAB software. As a result, a nature behavior of softfield gave a main factor of inaccurate position of reconstructed image using FBP algorithm. When it multiplied with the concentration profile from LBP result, a “hill” surface sensitivity distribution and a color scale shifted in FBP gave inaccurate result. Therefore, it is believed that it gave a reason of why the FBP algorithm is not the concern on reconstructing image in soft-field tomography. Penerbit UTHM 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19738/1/lbpvsfbp_JT%20to%20IJIE%202017.pdf Yasmin, Abdul Wahab and Ruzairi, Abdul Rahim and Fazalul, Rahiman and Suzzana, Ridzuan Aw and Fazlul Rahman, Mohd Yunus and Jaysuman, Pusppanathan and Nor Muzakkir , Nor Ayob and Leow, Pei Ling (2017) Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography. International Journal of Integrated Engineering, 9 (4). pp. 32-36. ISSN 2229-838X http://penerbit.uthm.edu.my/ojs/index.php/ijie/index |
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TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
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TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Yasmin, Abdul Wahab Ruzairi, Abdul Rahim Fazalul, Rahiman Suzzana, Ridzuan Aw Fazlul Rahman, Mohd Yunus Jaysuman, Pusppanathan Nor Muzakkir , Nor Ayob Leow, Pei Ling Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography |
description |
An image reconstruction algorithm in process tomography is very important in ensure that the reconstructed image is satisfied. The back-projection algorithm is the most popular algorithm applied in process tomography including a linear back-projection (LBP) algorithm and a filtered back-projection (FBP) algorithm. The objectives of this paper are: (1) to compare the result from LBP and FBP algorithm in soft-field tomography, and (2) to investigate the effect of FBP algorithm to a reconstructed image in soft-field tomography. Also, a comparison between hard-field tomography (ultrasonic tomography) and soft-field tomography (electrical resistance tomography, ERT) had been discussed in this paper. The ERT had been conducted based on a simulation using COMSOL Multiphysics live link with MATLAB software. As a result, a nature behavior of softfield gave a main factor of inaccurate position of reconstructed image using FBP algorithm. When it multiplied with the concentration profile from LBP result, a “hill” surface sensitivity distribution and a color scale shifted in FBP gave inaccurate result. Therefore, it is believed that it gave a reason of why the FBP algorithm is not the concern on reconstructing image in soft-field tomography. |
format |
Article |
author |
Yasmin, Abdul Wahab Ruzairi, Abdul Rahim Fazalul, Rahiman Suzzana, Ridzuan Aw Fazlul Rahman, Mohd Yunus Jaysuman, Pusppanathan Nor Muzakkir , Nor Ayob Leow, Pei Ling |
author_facet |
Yasmin, Abdul Wahab Ruzairi, Abdul Rahim Fazalul, Rahiman Suzzana, Ridzuan Aw Fazlul Rahman, Mohd Yunus Jaysuman, Pusppanathan Nor Muzakkir , Nor Ayob Leow, Pei Ling |
author_sort |
Yasmin, Abdul Wahab |
title |
Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography |
title_short |
Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography |
title_full |
Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography |
title_fullStr |
Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography |
title_full_unstemmed |
Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography |
title_sort |
inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography |
publisher |
Penerbit UTHM |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/19738/ http://umpir.ump.edu.my/id/eprint/19738/ http://umpir.ump.edu.my/id/eprint/19738/1/lbpvsfbp_JT%20to%20IJIE%202017.pdf |
first_indexed |
2023-09-18T22:28:17Z |
last_indexed |
2023-09-18T22:28:17Z |
_version_ |
1777416114320441344 |