Texture Analysis Based Damage Detection of Ageing Infrastructural Elements

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Title: Texture Analysis Based Damage Detection of Ageing Infrastructural Elements
Authors: O'Byrne, Michael
Schoefs, Franck
Ghosh, Bidisha
Pakrashi, Vikram
Permanent link: http://hdl.handle.net/10197/10428
Date: 8-Nov-2012
Online since: 2019-05-14T08:11:08Z
Abstract: To make visual data a part of quantitative assessment for infrastructure maintenance management, it is important to develop computer-aided methods that demonstrate efficient performance in the presence of variability in damage forms, lighting conditions, viewing angles, and image resolutions taking into account the luminous and chromatic complexities of visual data. This article presents a semi-automatic, enhanced texture segmentation approach to detect and classify surface damage on infrastructure elements and successfully applies them to a range of images of surface damage. The approach involves statistical analysis of spatially neighboring pixels in various color spaces by defining a feature vector that includes measures related to pixel intensity values over a specified color range and statistics derived from the Grey Level Co-occurrence Matrix calculated on a quantized grey-level scale. Parameter optimized non-linear Support Vector Machines are used to classify the feature vector. A Custom-Weighted Iterative model and a 4-Dimensional Input Space model are introduced. Receiver Operating Characteristics are employed to assess and enhance the detection efficiency under various damage conditions.
Funding Details: Irish Research Council for Science, Engineering and Technology
Type of material: Journal Article
Publisher: Wiley Online Library
Journal: Computer-Aided Civil and Infrastructure Engineering
Volume: 28
Issue: 3
Start page: 162
End page: 177
Copyright (published version): 2012 Computer-Aided Civil and Infrastructure Engineering
Keywords: Infrastructure maintenance managementVisual dataSurface damageCustom-Weighted Iterative model4-Dimensional Input Space modelReceiver Operating Characteristics
DOI: 10.1111/j.1467-8667.2012.00790.x
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

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