Automatic label removal from digitized weld radiographs
This paper presents a methodology to remove labels automatically from digitized weld radiographs as part of the automatic weld defect detection process. An algorithm was developed to detect and remove labels printed onto weld radiographs before weld extraction algorithm or defect detection algorithm...
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2007
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my.utm.62002017-11-01T04:17:25Z http://eprints.utm.my/id/eprint/6200/ Automatic label removal from digitized weld radiographs Soo, Say Leong Ratnam, Mani Maran Samad, Zahurin Khalid, Mohd. Ashhar TJ Mechanical engineering and machinery This paper presents a methodology to remove labels automatically from digitized weld radiographs as part of the automatic weld defect detection process. An algorithm was developed to detect and remove labels printed onto weld radiographs before weld extraction algorithm or defect detection algorithm is applied. Normality test was used to determine if the intensity profile parallel to the weld contains label pixels. Thresholding followed by region filling operations were carried out to remove the labels. The algorithm was tested on 50 weld radiographs with labels and the labels on 90% of these images were successfully removed. Penerbit UTM Press 2007-12 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/6200/1/JTDIS47D01.pdf Soo, Say Leong and Ratnam, Mani Maran and Samad, Zahurin and Khalid, Mohd. Ashhar (2007) Automatic label removal from digitized weld radiographs. Jurnal Teknologi D . pp. 1-14. ISSN 0127-9696 http://www.penerbit.utm.my/onlinejournal/47/D/JTDIS47D01.pdf |
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TJ Mechanical engineering and machinery Soo, Say Leong Ratnam, Mani Maran Samad, Zahurin Khalid, Mohd. Ashhar Automatic label removal from digitized weld radiographs |
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This paper presents a methodology to remove labels automatically from digitized weld radiographs as part of the automatic weld defect detection process. An algorithm was developed to detect and remove labels printed onto weld radiographs before weld extraction algorithm or defect detection algorithm is applied. Normality test was used to determine if the intensity profile parallel to the weld contains label pixels. Thresholding followed by region filling operations were carried out to remove the labels. The algorithm was tested on 50 weld radiographs with labels and the labels on 90% of these images were successfully removed. |
format |
Article |
author |
Soo, Say Leong Ratnam, Mani Maran Samad, Zahurin Khalid, Mohd. Ashhar |
author_facet |
Soo, Say Leong Ratnam, Mani Maran Samad, Zahurin Khalid, Mohd. Ashhar |
author_sort |
Soo, Say Leong |
title |
Automatic label removal from digitized weld radiographs |
title_short |
Automatic label removal from digitized weld radiographs |
title_full |
Automatic label removal from digitized weld radiographs |
title_fullStr |
Automatic label removal from digitized weld radiographs |
title_full_unstemmed |
Automatic label removal from digitized weld radiographs |
title_sort |
automatic label removal from digitized weld radiographs |
publisher |
Penerbit UTM Press |
publishDate |
2007 |
url |
http://eprints.utm.my/id/eprint/6200/1/JTDIS47D01.pdf http://eprints.utm.my/id/eprint/6200/ http://www.penerbit.utm.my/onlinejournal/47/D/JTDIS47D01.pdf |
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13.223943 |