Improved image analysis based corrosion assessment using preprocessing techniques

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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.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 http://hdl.handle.net/10468/2620
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.format.mimetype application/pdf en
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
dc.internal.authorcontactother Vikram Pakrashi, Civil Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email: v.pakrashi@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2010-10-07T14:25:00Z
dc.description.version Draft en
dc.internal.rssid 52679237
dc.description.status Peer reviewed en
dc.internal.IRISemailaddress v.pakrashi@ucc.ie en


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