Finding Region of Interest in the Infrared Image of Electrical Installation

This paper presents a method of automatically finding the region of interests (ROIs) in an infrared image of electrical installations. These regions are very important, particularly for diagnosing the thermal condition of electrical equipment. For a vast number of electrical equipment to be inspecte...

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Main Authors:	M. S., Jadin, Soib, Taib, Kamarul Hawari, Ghazali
Format:	Article
Language:	English
Published:	Elsevier 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/9280/ http://umpir.ump.edu.my/id/eprint/9280/ http://umpir.ump.edu.my/id/eprint/9280/ http://umpir.ump.edu.my/id/eprint/9280/1/fkee-2015-shawal-Finding%20Region%20of%20Interest.pdf

id	ump-9280
recordtype	eprints
spelling	ump-92802018-02-21T05:07:53Z http://umpir.ump.edu.my/id/eprint/9280/ Finding Region of Interest in the Infrared Image of Electrical Installation M. S., Jadin Soib, Taib Kamarul Hawari, Ghazali TK Electrical engineering. Electronics Nuclear engineering This paper presents a method of automatically finding the region of interests (ROIs) in an infrared image of electrical installations. These regions are very important, particularly for diagnosing the thermal condition of electrical equipment. For a vast number of electrical equipment to be inspected, manual region selection of the images normally will take a lot of time. Therefore, an automatic region detection system is more preferred. However, due to the nature of the infrared image, the conventional segmentation methods have some limitations in order to properly find the desired ROIs. In addition, all objects within the image commonly have heterogeneous pixel intensities causing the segmented regions tend to be over segmented or some parts of the target objects either be divided into multiple regions or merging with the background image. Therefore, this paper proposes a new segmentation method of detecting the repeated structures of electrical equipment within an infrared image by taking the advantage of local keypoint feature matching. Experimental results indicate that the proposed method achieves a better performance for detecting the target ROIs compared with the conventional methods. The algorithm was tested on real infrared images with diverse irregular intensity variations and cluttered background. Finally, the performance of the proposed method was qualitatively and quantitatively evaluated. Elsevier 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9280/1/fkee-2015-shawal-Finding%20Region%20of%20Interest.pdf M. S., Jadin and Soib, Taib and Kamarul Hawari, Ghazali (2015) Finding Region of Interest in the Infrared Image of Electrical Installation. Infrared Physics & Technology, 71. pp. 329-338. ISSN 1350-4495 http://dx.doi.org/10.1016/j.infrared.2015.05.010 doi: 10.1016/j.infrared.2015.05.010
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 Soib, Taib Kamarul Hawari, Ghazali Finding Region of Interest in the Infrared Image of Electrical Installation
description	This paper presents a method of automatically finding the region of interests (ROIs) in an infrared image of electrical installations. These regions are very important, particularly for diagnosing the thermal condition of electrical equipment. For a vast number of electrical equipment to be inspected, manual region selection of the images normally will take a lot of time. Therefore, an automatic region detection system is more preferred. However, due to the nature of the infrared image, the conventional segmentation methods have some limitations in order to properly find the desired ROIs. In addition, all objects within the image commonly have heterogeneous pixel intensities causing the segmented regions tend to be over segmented or some parts of the target objects either be divided into multiple regions or merging with the background image. Therefore, this paper proposes a new segmentation method of detecting the repeated structures of electrical equipment within an infrared image by taking the advantage of local keypoint feature matching. Experimental results indicate that the proposed method achieves a better performance for detecting the target ROIs compared with the conventional methods. The algorithm was tested on real infrared images with diverse irregular intensity variations and cluttered background. Finally, the performance of the proposed method was qualitatively and quantitatively evaluated.
format	Article
author	M. S., Jadin Soib, Taib Kamarul Hawari, Ghazali
author_facet	M. S., Jadin Soib, Taib Kamarul Hawari, Ghazali
author_sort	M. S., Jadin
title	Finding Region of Interest in the Infrared Image of Electrical Installation
title_short	Finding Region of Interest in the Infrared Image of Electrical Installation
title_full	Finding Region of Interest in the Infrared Image of Electrical Installation
title_fullStr	Finding Region of Interest in the Infrared Image of Electrical Installation
title_full_unstemmed	Finding Region of Interest in the Infrared Image of Electrical Installation
title_sort	finding region of interest in the infrared image of electrical installation
publisher	Elsevier
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/9280/ http://umpir.ump.edu.my/id/eprint/9280/ http://umpir.ump.edu.my/id/eprint/9280/ http://umpir.ump.edu.my/id/eprint/9280/1/fkee-2015-shawal-Finding%20Region%20of%20Interest.pdf
first_indexed	2023-09-18T22:07:41Z
last_indexed	2023-09-18T22:07:41Z
_version_	1777414818467151872

Finding Region of Interest in the Infrared Image of Electrical Installation

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