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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Pakrashi, Vikram
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2021A dynamic harmonic regression approach for bridge structural health monitoringcitations
- 2019Self compacting concrete from uncontrolled burning of rice husk and blended fine aggregatecitations
- 2019Performance of masonry blocks incorporating Palm Oil Fuel Ashcitations
- 2019High dynamic range image processing for non-destructive-testing
- 2019ROC dependent event isolation method for image processing based assessment of corroded harbour structurescitations
- 2019Suitable Waves for Bender Element Tests: Interpretations, Errors and Modelling Aspectscitations
- 2016Suitable waves for bender element testscitations
- 2016Suitable Waves for Bender Element Tests: Interpretations, Errors and Modelling Aspectscitations
- 2014Performance of masonry blocks incorporating Palm Oil Fuel Ashcitations
- 2014Performance of masonry blocks incorporating Palm Oil Fuel Ashcitations
- 2012Texture Analysis based Detection and Classification of Surface Features on Ageing Infrastructure Elements
- 2011High Dynamic Range image processing for Structural Health Monitoringcitations
- 2007An Image Analysis Based Damage Classification Methodology
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article
High Dynamic Range image processing for Structural Health Monitoring
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.