Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment

Thermal anomalies in electrical equipments can be extracted if its infrared image is segmented properly. However, segmenting the infrared image is a very challenging task due to blur and low quality of the obtained images. So, it is very important to enhance the image prior to segmentation. This pa...

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Main Authors: M. S., Jadin, Soib, Taib
Format: Article
Language:English
Published: KTU 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8761/
http://umpir.ump.edu.my/id/eprint/8761/1/pawael.pdf
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author M. S., Jadin
Soib, Taib
author_facet M. S., Jadin
Soib, Taib
author_sort M. S., Jadin
building UMP Institutional Repository
collection Online Access
description Thermal anomalies in electrical equipments can be extracted if its infrared image is segmented properly. However, segmenting the infrared image is a very challenging task due to blur and low quality of the obtained images. So, it is very important to enhance the image prior to segmentation. This paper proposes an image enhancement method by adjusting the intensity of the image. Firstly, the intensity of the original image is inverted. Then, the warm region is enhanced by subtracting the original image with the inverted image. Experimental results through different segmentation algorithms show that by enhancing the infrared image using the proposed algorithm could improve the segmentation performance. Ill. 4, bibl. 16, tabl. 1 (in English; abstracts in English and Lithuanian).
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spelling ump-87612018-04-18T00:28:18Z http://umpir.ump.edu.my/id/eprint/8761/ Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment M. S., Jadin Soib, Taib Q Science (General) TK Electrical engineering. Electronics Nuclear engineering Thermal anomalies in electrical equipments can be extracted if its infrared image is segmented properly. However, segmenting the infrared image is a very challenging task due to blur and low quality of the obtained images. So, it is very important to enhance the image prior to segmentation. This paper proposes an image enhancement method by adjusting the intensity of the image. Firstly, the intensity of the original image is inverted. Then, the warm region is enhanced by subtracting the original image with the inverted image. Experimental results through different segmentation algorithms show that by enhancing the infrared image using the proposed algorithm could improve the segmentation performance. Ill. 4, bibl. 16, tabl. 1 (in English; abstracts in English and Lithuanian). KTU 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8761/1/pawael.pdf M. S., Jadin and Soib, Taib (2012) Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment. Electronics and Electrical Engineering = Elektronika ir Elektrotechnika, 120 (4). pp. 107-112. ISSN 1392-1215 (print); 2029-5731 (online) . (Published) http://dx.doi.org/10.5755/j01.eee.120.4.1465 DOI: 10.5755/j01.eee.120.4.1465
spellingShingle Q Science (General)
TK Electrical engineering. Electronics Nuclear engineering
M. S., Jadin
Soib, Taib
Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment
title Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment
title_full Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment
title_fullStr Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment
title_full_unstemmed Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment
title_short Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment
title_sort infrared image enhancement and segmentation for extracting the thermal anomalies in electrical equipment
topic Q Science (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/8761/
http://umpir.ump.edu.my/id/eprint/8761/
http://umpir.ump.edu.my/id/eprint/8761/
http://umpir.ump.edu.my/id/eprint/8761/1/pawael.pdf