Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation

This paper presents a method for automatically finding regions of interest (ROIs) in the infrared image of electrical installation. These regions are very important in diagnosing the thermal condition of electrical equipment. Even the selection of ROIs in the infrared image can be done manually, how...

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Main Authors: M. S., Jadin, Kamarul Hawari, Ghazali, Soib, Taib, Nazmul Huda, A. S.
Format: Conference or Workshop Item
Language:English
Published: 2012
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Online Access:http://umpir.ump.edu.my/id/eprint/8760/1/fkee-2012-shawal-Finding%20Rois%20In%20Infrared-art.pdf
http://umpir.ump.edu.my/id/eprint/8760/
http://dx.doi.org/10.1109/ICCSCE.2012.6487149
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Institution: Universiti Malaysia Pahang
Language: English
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spelling my.ump.umpir.87602018-02-21T06:02:12Z http://umpir.ump.edu.my/id/eprint/8760/ Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib Nazmul Huda, A. S. Q Science (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents a method for automatically finding regions of interest (ROIs) in the infrared image of electrical installation. These regions are very important in diagnosing the thermal condition of electrical equipment. Even the selection of ROIs in the infrared image can be done manually, however the accuracy of the regions is arguably. So we take the advantage of extracting local features to identify, locate, and match multiple repeated objects and grouping look like similar objects in the images. Experimental results have shown that the proposed method achieves better performance for detecting the target ROIs with various irregular intensity variations, dim target equipments and cluttered background. The performance of the proposed and method is qualitative and quantitatively evaluated. 2012-11 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8760/1/fkee-2012-shawal-Finding%20Rois%20In%20Infrared-art.pdf M. S., Jadin and Kamarul Hawari, Ghazali and Soib, Taib and Nazmul Huda, A. S. (2012) Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation. In: IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2012), 23-25 November 2012 , Penang, Malaysia. pp. 244-249.. http://dx.doi.org/10.1109/ICCSCE.2012.6487149 doi:10.1109/ICCSCE.2012.6487149
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic Q Science (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle Q Science (General)
TK Electrical engineering. Electronics Nuclear engineering
M. S., Jadin
Kamarul Hawari, Ghazali
Soib, Taib
Nazmul Huda, A. S.
Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation
description This paper presents a method for automatically finding regions of interest (ROIs) in the infrared image of electrical installation. These regions are very important in diagnosing the thermal condition of electrical equipment. Even the selection of ROIs in the infrared image can be done manually, however the accuracy of the regions is arguably. So we take the advantage of extracting local features to identify, locate, and match multiple repeated objects and grouping look like similar objects in the images. Experimental results have shown that the proposed method achieves better performance for detecting the target ROIs with various irregular intensity variations, dim target equipments and cluttered background. The performance of the proposed and method is qualitative and quantitatively evaluated.
format Conference or Workshop Item
author M. S., Jadin
Kamarul Hawari, Ghazali
Soib, Taib
Nazmul Huda, A. S.
author_facet M. S., Jadin
Kamarul Hawari, Ghazali
Soib, Taib
Nazmul Huda, A. S.
author_sort M. S., Jadin
title Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation
title_short Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation
title_full Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation
title_fullStr Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation
title_full_unstemmed Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation
title_sort finding rois in infrared image of electrical installation for qualitative thermal condition evaluation
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/8760/1/fkee-2012-shawal-Finding%20Rois%20In%20Infrared-art.pdf
http://umpir.ump.edu.my/id/eprint/8760/
http://dx.doi.org/10.1109/ICCSCE.2012.6487149
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