Image fusion using fuzzy logic pixel fusion for dual modality tomography system
Process tomography has been widely investigated and developed over time. The aim of this method is to measure the cross-sectional distribution of multiphase flow parameters based on its sensing technique. These single modality approaches has its own limitation whereby combination of two or more moda...
Saved in:
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM
2014
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/53071/1/JaysumanPusppanathan2014_Imagefusionusingfuzzylogic.pdf http://eprints.utm.my/id/eprint/53071/ http://dx.doi.org/10.11113/jt.v70.3460 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.53071 |
---|---|
record_format |
eprints |
spelling |
my.utm.530712018-07-19T07:23:49Z http://eprints.utm.my/id/eprint/53071/ Image fusion using fuzzy logic pixel fusion for dual modality tomography system Pusppanathan, Jaysuman Faramarzi, Mahdi Mohd. Yunus, Fazlul Rahman Nor Ayob, Nor Muzakkir Abdul Rahim, Ruzairi Phang, Fatin Aliah Fazalul Rahiman, Mohd. Hafiz Ahmad, Anita Leow, Pei Ling Abas, Khairul Hamimah TK Electrical engineering. Electronics Nuclear engineering Process tomography has been widely investigated and developed over time. The aim of this method is to measure the cross-sectional distribution of multiphase flow parameters based on its sensing technique. These single modality approaches has its own limitation whereby combination of two or more modality could overcome this issue. Therefore, a dual modality tomography (DMT) emergence of electrical capacitance sensors and ultrasonic sensor arrays for multiphase liquid mixture measurement was proposed. This paper presents an image fusion model using fuzzy logic pixel fusion method to integrate information for multisensory system such as DMT. A simulation analysis was carried out to perform image fusion on both ECT and UT input images. The developed fusion model proven to be successful in visualizing multiphase flow measurement. Thus, further validation and assessments were employed on the acquired results. Penerbit UTM 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/53071/1/JaysumanPusppanathan2014_Imagefusionusingfuzzylogic.pdf Pusppanathan, Jaysuman and Faramarzi, Mahdi and Mohd. Yunus, Fazlul Rahman and Nor Ayob, Nor Muzakkir and Abdul Rahim, Ruzairi and Phang, Fatin Aliah and Fazalul Rahiman, Mohd. Hafiz and Ahmad, Anita and Leow, Pei Ling and Abas, Khairul Hamimah (2014) Image fusion using fuzzy logic pixel fusion for dual modality tomography system. Jurnal Teknologi (3). pp. 41-44. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v70.3460 DOI: 10.11113/jt.v70.3460 |
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/ |
language |
English |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Pusppanathan, Jaysuman Faramarzi, Mahdi Mohd. Yunus, Fazlul Rahman Nor Ayob, Nor Muzakkir Abdul Rahim, Ruzairi Phang, Fatin Aliah Fazalul Rahiman, Mohd. Hafiz Ahmad, Anita Leow, Pei Ling Abas, Khairul Hamimah Image fusion using fuzzy logic pixel fusion for dual modality tomography system |
description |
Process tomography has been widely investigated and developed over time. The aim of this method is to measure the cross-sectional distribution of multiphase flow parameters based on its sensing technique. These single modality approaches has its own limitation whereby combination of two or more modality could overcome this issue. Therefore, a dual modality tomography (DMT) emergence of electrical capacitance sensors and ultrasonic sensor arrays for multiphase liquid mixture measurement was proposed. This paper presents an image fusion model using fuzzy logic pixel fusion method to integrate information for multisensory system such as DMT. A simulation analysis was carried out to perform image fusion on both ECT and UT input images. The developed fusion model proven to be successful in visualizing multiphase flow measurement. Thus, further validation and assessments were employed on the acquired results. |
format |
Article |
author |
Pusppanathan, Jaysuman Faramarzi, Mahdi Mohd. Yunus, Fazlul Rahman Nor Ayob, Nor Muzakkir Abdul Rahim, Ruzairi Phang, Fatin Aliah Fazalul Rahiman, Mohd. Hafiz Ahmad, Anita Leow, Pei Ling Abas, Khairul Hamimah |
author_facet |
Pusppanathan, Jaysuman Faramarzi, Mahdi Mohd. Yunus, Fazlul Rahman Nor Ayob, Nor Muzakkir Abdul Rahim, Ruzairi Phang, Fatin Aliah Fazalul Rahiman, Mohd. Hafiz Ahmad, Anita Leow, Pei Ling Abas, Khairul Hamimah |
author_sort |
Pusppanathan, Jaysuman |
title |
Image fusion using fuzzy logic pixel fusion for dual modality tomography system |
title_short |
Image fusion using fuzzy logic pixel fusion for dual modality tomography system |
title_full |
Image fusion using fuzzy logic pixel fusion for dual modality tomography system |
title_fullStr |
Image fusion using fuzzy logic pixel fusion for dual modality tomography system |
title_full_unstemmed |
Image fusion using fuzzy logic pixel fusion for dual modality tomography system |
title_sort |
image fusion using fuzzy logic pixel fusion for dual modality tomography system |
publisher |
Penerbit UTM |
publishDate |
2014 |
url |
http://eprints.utm.my/id/eprint/53071/1/JaysumanPusppanathan2014_Imagefusionusingfuzzylogic.pdf http://eprints.utm.my/id/eprint/53071/ http://dx.doi.org/10.11113/jt.v70.3460 |
_version_ |
1643653298239045632 |
score |
13.2442 |