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  5. High dynamic range image processing for non-destructive-testing
 
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High dynamic range image processing for non-destructive-testing

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Author(s)
Ghosh, Bidisha 
Pakrashi, Vikram 
Schoefs, Franck 
Uri
http://hdl.handle.net/10197/10454
Date Issued
17 October 2011
Date Available
15T08:27:12Z May 2019
Abstract
This paper proposes High Dynamic Range (HDR) imaging as a protocol for nondestructive-testing for the first time. HDR imaging protocol has been experimentally validated on images of pitting corrosion in this paper and has been further applied to isolate a range of image backgrounds that arise out of a number of environmental conditions. The superiority of HDR imaging over a standard imaging process has been demonstrated. The results indicate that the proposed protocol is not limited by the examples considered in this paper and can readily be applied to a number of infrastructure maintenance management related applications. The protocol complements and improves standard visual inspection techniques and expert opinions. This approach immediately lends itself to further mathematical and statistical analyses, both qualitative and quantitative.
Sponsorship
European Commission - European Regional Development Fund
Other Sponsorship
DURATINET (Durable Transport Infrastructures in the Atlantic Area Network) project, approved by the “Atlantic Area Transnational Program 2007-2013”
Type of Material
Journal Article
Publisher
Taylor & Francis
Journal
European Journal of Environmental and Civil Engineering
Volume
15
Issue
7
Start Page
1085
End Page
1096
Copyright (Published Version)
2011 Lavoisier, Paris
Keywords
  • High dynamic range (H...

  • Non-destructive-testi...

  • Pitting corrosion

  • Damage detection

  • Image processing

DOI
10.3166/EJECE.15.1085-1096
Language
English
Status of Item
Peer reviewed
ISSN
1964-8189
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Mechanical & Materials Engineering Research Collection
Scopus© citations
4
Acquisition Date
Jan 31, 2023
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