Gas Leakage Detection Using Thermal Imaging Technique

Gas leakage is one of the hazards that can cause major incidents to human injuries, fires as well as high impact on economic. To avoid such situation, a preventive inspection is paramount important. Since gas leakage is unseen by naked eyes due to the energy that are emitted by gas are too small to...

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Main Authors: M. S., Jadin, Kamarul Hawari, Ghazali
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6096/
http://umpir.ump.edu.my/id/eprint/6096/1/fkee-2014-shawal-Gas_leakage_detection.pdf
id ump-6096
recordtype eprints
spelling ump-60962018-02-21T05:11:42Z http://umpir.ump.edu.my/id/eprint/6096/ Gas Leakage Detection Using Thermal Imaging Technique M. S., Jadin Kamarul Hawari, Ghazali TK Electrical engineering. Electronics Nuclear engineering Gas leakage is one of the hazards that can cause major incidents to human injuries, fires as well as high impact on economic. To avoid such situation, a preventive inspection is paramount important. Since gas leakage is unseen by naked eyes due to the energy that are emitted by gas are too small to simulate by eyes, thermal imaging technology is used to detect and evaluate the severity level of the leakage. This paper presents a method for detecting gas leak using infrared image analysis. Through an image filtering technique, the target region of interests is enhanced and segmented to extract the leaky regions. The image feature is extracted to identify the leakage. From the experimental result, it shows that this system is effective in detecting the presence of gas leakage in real industrial problem. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6096/1/fkee-2014-shawal-Gas_leakage_detection.pdf M. S., Jadin and Kamarul Hawari, Ghazali (2014) Gas Leakage Detection Using Thermal Imaging Technique. In: 16th International Conference on Mathemathical/ Analytical Modelling and Computer Simulation (UKSIM 2014), 26-28 March 2014 , Cambridge University (Emmanuel College), United Kingdom. pp. 1-5..
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
M. S., Jadin
Kamarul Hawari, Ghazali
Gas Leakage Detection Using Thermal Imaging Technique
description Gas leakage is one of the hazards that can cause major incidents to human injuries, fires as well as high impact on economic. To avoid such situation, a preventive inspection is paramount important. Since gas leakage is unseen by naked eyes due to the energy that are emitted by gas are too small to simulate by eyes, thermal imaging technology is used to detect and evaluate the severity level of the leakage. This paper presents a method for detecting gas leak using infrared image analysis. Through an image filtering technique, the target region of interests is enhanced and segmented to extract the leaky regions. The image feature is extracted to identify the leakage. From the experimental result, it shows that this system is effective in detecting the presence of gas leakage in real industrial problem.
format Conference or Workshop Item
author M. S., Jadin
Kamarul Hawari, Ghazali
author_facet M. S., Jadin
Kamarul Hawari, Ghazali
author_sort M. S., Jadin
title Gas Leakage Detection Using Thermal Imaging Technique
title_short Gas Leakage Detection Using Thermal Imaging Technique
title_full Gas Leakage Detection Using Thermal Imaging Technique
title_fullStr Gas Leakage Detection Using Thermal Imaging Technique
title_full_unstemmed Gas Leakage Detection Using Thermal Imaging Technique
title_sort gas leakage detection using thermal imaging technique
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/6096/
http://umpir.ump.edu.my/id/eprint/6096/1/fkee-2014-shawal-Gas_leakage_detection.pdf
first_indexed 2023-09-18T22:01:33Z
last_indexed 2023-09-18T22:01:33Z
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