Detecting ROIs in the Thermal Image of Electrical Installations

This paper presents a method of detecting and segmenting regions of interest (ROIs) of the thermal image of electrical installations. These regions are very important in diagnosing the thermal condition of electrical equipment. Due to the nature of thermal imaging, segmentation with the conventional...

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Bibliographic Details
Main Authors:	M. S., Jadin, Kamarul Hawari, Ghazali, Soib, Taib
Format:	Conference or Workshop Item
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/9223/ http://umpir.ump.edu.my/id/eprint/9223/

id	ump-9223
recordtype	eprints
spelling	ump-92232018-02-21T05:09:18Z http://umpir.ump.edu.my/id/eprint/9223/ Detecting ROIs in the Thermal Image of Electrical Installations M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib TK Electrical engineering. Electronics Nuclear engineering This paper presents a method of detecting and segmenting regions of interest (ROIs) of the thermal image of electrical installations. These regions are very important in diagnosing the thermal condition of electrical equipment. Due to the nature of thermal imaging, segmentation with the conventional approach will make inaccurate ROI detection, especially when qualitative approach is considered in evaluating the equipment's condition. Therefore, we take the advantage of extracting local features to identify, locate, and match multiple repeated objects and grouping a look-like similar objects in the images. Experimental results show 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 method is qualitatively and quantitatively evaluated. 2014 Conference or Workshop Item PeerReviewed M. S., Jadin and Kamarul Hawari, Ghazali and Soib, Taib (2014) Detecting ROIs in the Thermal Image of Electrical Installations. In: International Conference on Control System, Computing and Engineering (ICCSCE), 28-30 November 2014 , Batu Ferringhi, Penang. pp. 496-501.. http://dx.doi.org/10.1109/ICCSCE.2014.7072769
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib Detecting ROIs in the Thermal Image of Electrical Installations
description	This paper presents a method of detecting and segmenting regions of interest (ROIs) of the thermal image of electrical installations. These regions are very important in diagnosing the thermal condition of electrical equipment. Due to the nature of thermal imaging, segmentation with the conventional approach will make inaccurate ROI detection, especially when qualitative approach is considered in evaluating the equipment's condition. Therefore, we take the advantage of extracting local features to identify, locate, and match multiple repeated objects and grouping a look-like similar objects in the images. Experimental results show 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 method is qualitatively and quantitatively evaluated.
format	Conference or Workshop Item
author	M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib
author_facet	M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib
author_sort	M. S., Jadin
title	Detecting ROIs in the Thermal Image of Electrical Installations
title_short	Detecting ROIs in the Thermal Image of Electrical Installations
title_full	Detecting ROIs in the Thermal Image of Electrical Installations
title_fullStr	Detecting ROIs in the Thermal Image of Electrical Installations
title_full_unstemmed	Detecting ROIs in the Thermal Image of Electrical Installations
title_sort	detecting rois in the thermal image of electrical installations
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/9223/ http://umpir.ump.edu.my/id/eprint/9223/
first_indexed	2023-09-18T22:07:34Z
last_indexed	2023-09-18T22:07:34Z
_version_	1777414810897481728

Detecting ROIs in the Thermal Image of Electrical Installations

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