An image analysis based damage classification methodology

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dc.contributor.author Pakrashi, Vikram
dc.contributor.author O'Connor, Alan J.
dc.contributor.author Schoefs, Franck
dc.contributor.editor Kanda, Jun
dc.contributor.editor Takada, Tsuyoshi
dc.contributor.editor Furuta, Hitoshi
dc.date.accessioned 2011-03-24T13:33:07Z
dc.date.available 2011-03-24T13:33:07Z
dc.date.issued 2007-07-18
dc.identifier.citation Pakrashi, V., O’Connor, A., Schoefs, F., 2007. An Image Analysis Based Damage Classification Methodology. In: Kanda, J., Takada, T., Furuta, H. (eds) Applications of Statistics and Probability in Civil Engineering: Proceedings of the 10th International Conference, ICASP10. Tokyo, Japan, 31 July - 3 August 2007. London: Taylor & Francis. pp.147-148 en
dc.identifier.isbn 9780415452113
dc.identifier.uri http://hdl.handle.net/10468/260
dc.description.abstract Measurement of the extent of damage in a real structure is extremely important in terms of any maintenance strategy. However, this measurement often turns out to be difficult, time consuming and error – prone. The necessity of a simple, fast and relatively inexpensive damage monitoring system with reliable measurements is growing for quite sometime. The paper proposes a camera based image analysis technique to quantify and classify damage in structures at various levels of scale. The general method has been applied to corroded plate specimens in the laboratory with the aim to identify the affected areas on a steel pile due to pitting corrosion. The method depends on the contrast of the corroded region with respect to its surroundings, performs intelligent edge detection through image processing techniques and computes each affected and closed region to predict the total area of the affected part along with its spatial distribution on a two dimensional plane. Moreover the performance of the camera allows defining a detection threshold and the so-called probability of detection (PoD) and probability of false alarms (PFA). PoD are suggested as functions of the area of the pitting for the construction of Receiver-Operating-Characteristic (ROC) curves. The methodology can be used as a tool for the owners/managers of the structure for objectively quantifying and localising the extent of pitting corrosion, rather than providing information through a subjective visual assessment. Moreover, it allows introducing the probability of detection and probability of false alarms in the decision chain and in risk analysis. The method is shown to be robust, reliable, simple and inexpensive. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Taylor & Francis en
dc.relation.ispartof Applications of Statistics and Probability in Civil Engineering: Proceedings of the 10th International Conference, ICASP10, Tokyo, Japan, 31 July - 3 August 2007
dc.relation.uri http://www.crcpress.com/product/isbn/9780415452113
dc.rights © 2007, Taylor & Francis en
dc.subject Damage detection en
dc.subject Damage classification methodology en
dc.subject.lcsh Image processing en
dc.subject.lcsh Structural health monitoring en
dc.title An image analysis based damage classification methodology en
dc.type Conference item en
dc.internal.authorurl http://publish.ucc.ie/researchprofiles/D012/vpakrashi 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 2010-10-07T14:40:50Z
dc.description.version Accepted Version en
dc.internal.rssid 52679245
dc.description.status Peer reviewed en
dc.internal.copyrightchecked E-mail granting permission on 16 Mar 2011. Further to your recent email, permission is granted to place a chapter of above author’s own material on the CORA University College Cork Institutional Repository, subject to the following conditions: Rosemary Bavister, Permissions Administrator, Taylor & Francis Books (UK) en
dc.internal.IRISemailaddress v.pakrashi@ucc.ie en


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