A contrast stretching bilateral closing top-hat Otsu threshold technique for crack detection in images

Detection of cracks from stainless steel pipe images is done using contrast stretching technique. The technique is based on an image filter technique through mathematical morphology that can expose the cracks. The cracks are highlighted and noise removal is done efficiently while still retaining the...

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Main Authors: Ting, H. Y., Tso, Chih Ping., Sim, K. S., Kho, Y. Y., Nia, M. E.
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/106875
http://hdl.handle.net/10220/16654
http://dx.doi.org/10.1002/sca.21037
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author Ting, H. Y.
Tso, Chih Ping.
Sim, K. S.
Kho, Y. Y.
Nia, M. E.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Ting, H. Y.
Tso, Chih Ping.
Sim, K. S.
Kho, Y. Y.
Nia, M. E.
author_sort Ting, H. Y.
collection NTU
description Detection of cracks from stainless steel pipe images is done using contrast stretching technique. The technique is based on an image filter technique through mathematical morphology that can expose the cracks. The cracks are highlighted and noise removal is done efficiently while still retaining the edges. An automated crack detection system with a camera platform has been successfully implemented. We compare crack extraction in terms of quality measures with those of Otsu's threshold technique and the another technique (Iyer and Sinha, 2005). The algorithm shown is able to achieve good results and perform better than these other techniques.
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spelling ntu-10356/1068752019-12-06T22:20:10Z A contrast stretching bilateral closing top-hat Otsu threshold technique for crack detection in images Ting, H. Y. Tso, Chih Ping. Sim, K. S. Kho, Y. Y. Nia, M. E. School of Mechanical and Aerospace Engineering Detection of cracks from stainless steel pipe images is done using contrast stretching technique. The technique is based on an image filter technique through mathematical morphology that can expose the cracks. The cracks are highlighted and noise removal is done efficiently while still retaining the edges. An automated crack detection system with a camera platform has been successfully implemented. We compare crack extraction in terms of quality measures with those of Otsu's threshold technique and the another technique (Iyer and Sinha, 2005). The algorithm shown is able to achieve good results and perform better than these other techniques. 2013-10-21T04:14:46Z 2019-12-06T22:20:10Z 2013-10-21T04:14:46Z 2019-12-06T22:20:10Z 2012 2012 Journal Article Sim, K. S., Kho, Y. Y., Tso, C. P., Nia, M. E., & Ting, H. Y. (2013). A contrast stretching bilateral closing top-hat Otsu threshold technique for crack detection in images. Scanning, 35(2), 75-87. 0161-0457 https://hdl.handle.net/10356/106875 http://hdl.handle.net/10220/16654 http://dx.doi.org/10.1002/sca.21037 en Scanning
spellingShingle Ting, H. Y.
Tso, Chih Ping.
Sim, K. S.
Kho, Y. Y.
Nia, M. E.
A contrast stretching bilateral closing top-hat Otsu threshold technique for crack detection in images
title A contrast stretching bilateral closing top-hat Otsu threshold technique for crack detection in images
title_full A contrast stretching bilateral closing top-hat Otsu threshold technique for crack detection in images
title_fullStr A contrast stretching bilateral closing top-hat Otsu threshold technique for crack detection in images
title_full_unstemmed A contrast stretching bilateral closing top-hat Otsu threshold technique for crack detection in images
title_short A contrast stretching bilateral closing top-hat Otsu threshold technique for crack detection in images
title_sort contrast stretching bilateral closing top hat otsu threshold technique for crack detection in images
url https://hdl.handle.net/10356/106875
http://hdl.handle.net/10220/16654
http://dx.doi.org/10.1002/sca.21037
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