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
Subjects:	Q Science (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/8760/ http://umpir.ump.edu.my/id/eprint/8760/ http://umpir.ump.edu.my/id/eprint/8760/ http://umpir.ump.edu.my/id/eprint/8760/1/fkee-2012-shawal-Finding%20Rois%20In%20Infrared-art.pdf

id	ump-8760
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/8760/ http://umpir.ump.edu.my/id/eprint/8760/ http://umpir.ump.edu.my/id/eprint/8760/1/fkee-2012-shawal-Finding%20Rois%20In%20Infrared-art.pdf
first_indexed	2023-09-18T22:06:41Z
last_indexed	2023-09-18T22:06:41Z
_version_	1777414754672836608

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

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