Improved image analysis based corrosion assessment using preprocessing techniques
dc.contributor.author | Pakrashi, Vikram | |
dc.contributor.author | Schoefs, Franck | |
dc.contributor.author | Memet, Jean Bernard | |
dc.contributor.author | O'Connor, Alan J. | |
dc.date.accessioned | 2016-05-25T09:23:46Z | |
dc.date.available | 2016-05-25T09:23:46Z | |
dc.date.issued | 2008-01 | |
dc.date.updated | 2010-10-07T14:25:00Z | |
dc.description.abstract | The importance of non-destructive techniques (NDT) in structural health monitoring programmes is being critically felt in the recent times. The quality of the measured data, often affected by various environmental conditions can be a guiding factor in terms usefulness and prediction efficiencies of the various detection and monitoring methods used in this regard. Often, a preprocessing of the acquired data in relation to the affecting environmental parameters can improve the information quality and lead towards a significantly more efficient and correct prediction process. The improvement can be directly related to the final decision making policy about a structure or a network of structures and is compatible with general probabilistic frameworks of such assessment and decision making programmes. This paper considers a preprocessing technique employed for an image analysis based structural health monitoring methodology to identify sub-marine pitting corrosion in the presence of variable luminosity, contrast and noise affecting the quality of images. A preprocessing of the gray-level threshold of the various images is observed to bring about a significant improvement in terms of damage detection as compared to an automatically computed gray-level threshold. The case dependent adjustments of the threshold enable to obtain the best possible information from an existing image. The corresponding improvements are observed in a qualitative manner in the present study. | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Draft | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Pakrashi, V., Schoefs, F., Memet, J. B. & O'Connor, A. (2008). Improved image analysis based corrosion assessment using preprocessing techniques. MEDACHS 08 (Marine Environment Damage to Atlantic Coast Structures and Buildings: Methods of Assessment and Repair) 1st International Conference, Construction Heritage in Coastal and Marine Environments: Damage, Diagnostic, Maintenance and Repair. Lisbon, Portugal 28-30 Jan 2008. | en |
dc.identifier.uri | https://hdl.handle.net/10468/2620 | |
dc.language.iso | en | en |
dc.publisher | MEDACHS 08 | en |
dc.relation.ispartof | MEDACHS 08 (Marine Environment Damage to Atlantic Coast Structures and Buildings: Methods of Assessment and Repair) 1st International Conference, Construction Heritage in Coastal and Marine Environments: Damage, Diagnostic, Maintenance and Repair. Lisbon, Portugal 28-30 Jan 2008 | |
dc.subject | Image processing | en |
dc.subject | Probability of detection | en |
dc.subject | Probability of false alarm | en |
dc.subject | Non destructive techniques | en |
dc.title | Improved image analysis based corrosion assessment using preprocessing techniques | en |
dc.type | Conference item | en |
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