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Automated thresholding in radiographic image for welded joints

Automated detection of welding defects in radiographic images becomes non-trivial when uneven illumination, contrast and noise are present. In this paper, a new surface thresholding method is introduced to detect defects in radiographic images of welding joints. In the first stage, several image pr...

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Main Authors: Yazid, Haniza, Arof, Hamzah, Yazid, Hafizal
Format: Article
Language:English
Published: Taylor & Francis 2012
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.um.edu.my/10308/1/Automated_thresholding_in_radiographic_image_for_welded_joints.pdf
http://eprints.um.edu.my/10308/
http://www.tandfonline.com/doi/abs/10.1080/10589759.2011.591795#.VEhn1FeXCPU
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spelling my.um.eprints.103082018-10-11T04:03:32Z http://eprints.um.edu.my/10308/ Automated thresholding in radiographic image for welded joints Yazid, Haniza Arof, Hamzah Yazid, Hafizal TK Electrical engineering. Electronics Nuclear engineering Automated detection of welding defects in radiographic images becomes non-trivial when uneven illumination, contrast and noise are present. In this paper, a new surface thresholding method is introduced to detect defects in radiographic images of welding joints. In the first stage, several image processing techniques namely fuzzy c means clustering, region filling, mean filtering, edge detection, Otsu’s thresholding and morphological operations method are utilised to locate the area in which defects might exist. This is followed by the implementation of inverse surface thresholding with partial differential equation to locate isolated areas that represent the defects in the second stage. The proposed method obtained a promising result with high precision. Taylor & Francis 2012 Article PeerReviewed application/pdf en http://eprints.um.edu.my/10308/1/Automated_thresholding_in_radiographic_image_for_welded_joints.pdf Yazid, Haniza and Arof, Hamzah and Yazid, Hafizal (2012) Automated thresholding in radiographic image for welded joints. Nondestructive Testing and Evaluation, 27 (1). pp. 69-80. ISSN 1058-9759 http://www.tandfonline.com/doi/abs/10.1080/10589759.2011.591795#.VEhn1FeXCPU DOI: 10.1080/10589759.2011.591795
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Yazid, Haniza
Arof, Hamzah
Yazid, Hafizal
Automated thresholding in radiographic image for welded joints
description Automated detection of welding defects in radiographic images becomes non-trivial when uneven illumination, contrast and noise are present. In this paper, a new surface thresholding method is introduced to detect defects in radiographic images of welding joints. In the first stage, several image processing techniques namely fuzzy c means clustering, region filling, mean filtering, edge detection, Otsu’s thresholding and morphological operations method are utilised to locate the area in which defects might exist. This is followed by the implementation of inverse surface thresholding with partial differential equation to locate isolated areas that represent the defects in the second stage. The proposed method obtained a promising result with high precision.
format Article
author Yazid, Haniza
Arof, Hamzah
Yazid, Hafizal
author_facet Yazid, Haniza
Arof, Hamzah
Yazid, Hafizal
author_sort Yazid, Haniza
title Automated thresholding in radiographic image for welded joints
title_short Automated thresholding in radiographic image for welded joints
title_full Automated thresholding in radiographic image for welded joints
title_fullStr Automated thresholding in radiographic image for welded joints
title_full_unstemmed Automated thresholding in radiographic image for welded joints
title_sort automated thresholding in radiographic image for welded joints
publisher Taylor & Francis
publishDate 2012
url http://eprints.um.edu.my/10308/1/Automated_thresholding_in_radiographic_image_for_welded_joints.pdf
http://eprints.um.edu.my/10308/
http://www.tandfonline.com/doi/abs/10.1080/10589759.2011.591795#.VEhn1FeXCPU
_version_ 1643688768558858240
score 13.211869

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