ARCOM

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Chen, Q, Reichard, G and Beliveau, Y (2010) Object Model Framework for Interface Modeling and IT-Oriented Interface Management. Journal of Construction Engineering and Management, 136(02), 187–98.

Dai, F and Lu, M (2010) Assessing the Accuracy of Applying Photogrammetry to Take Geometric Measurements on Building Products. Journal of Construction Engineering and Management, 136(02), 242–50.

Ding, Z and Ng, F (2010) Personal Construct-Based Factors Affecting Interpersonal Trust in a Project Design Team. Journal of Construction Engineering and Management, 136(02), 227–34.

Goh, Y M and Chua, D K H (2010) Case-Based Reasoning Approach to Construction Safety Hazard Identification: Adaptation and Utilization. Journal of Construction Engineering and Management, 136(02), 170–8.

Hanna, A S and Skiffington, M A (2010) Effect of Preconstruction Planning Effort on Sheet Metal Project Performance. Journal of Construction Engineering and Management, 136(02), 235–41.

Hasan, S, Al-Hussein, M, Hermann, U H and Safouhi, H (2010) Interactive and Dynamic Integrated Module for Mobile Cranes Supporting System Design. Journal of Construction Engineering and Management, 136(02), 179–86.

Iyer, K C and Sagheer, M (2010) Hierarchical Structuring of PPP Risks Using Interpretative Structural Modeling. Journal of Construction Engineering and Management, 136(02), 151–9.

Mitropoulos, P and Guillama, V (2010) Analysis of Residential Framing Accidents, Activities, and Task Demands. Journal of Construction Engineering and Management, 136(02), 260–9.

Moussourakis, J and Haksever, C (2010) Project Compression with Nonlinear Cost Functions. Journal of Construction Engineering and Management, 136(02), 251–9.

Rasdorf, W, Grasso, B and Bridgers, M (2010) Public versus Private Perceptions on Hiring an External Program Manager. Journal of Construction Engineering and Management, 136(02), 219–26.

Tserng, H P, Yin, S Y L, Skibniewski, M J and Lee, M H (2010) Developing an ARIS-House-Based Method from Existing Information Systems to Project-Based Enterprise Resource Planning for General Contractor. Journal of Construction Engineering and Management, 136(02), 199–209.

Zhu, Z and Brilakis, I (2010) Machine Vision-Based Concrete Surface Quality Assessment. Journal of Construction Engineering and Management, 136(02), 210–8.

Type: Journal Article
Keywords: Defects; Identification; Assessment; Concrete; Imaging techniques; Information technology (IT); Defects; Identifications; Assessment; Concrete; Images; Imaging techniques; Information technology;
ISBN/ISSN: 0733-9364
URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000126
Abstract:
Manually inspecting concrete surface defects (e.g., cracks and air pockets) is not always reliable. Also, it is labor-intensive. In order to overcome these limitations, automated inspection using image processing techniques was proposed. However, the current work can only detect defects in an image without the ability of evaluating them. This paper presents a novel approach for automatically assessing the impact of two common surface defects (i.e., air pockets and discoloration). These two defects are first located using the developed detection methods. Their attributes, such as the number of air pockets and the area of discoloration regions, are then retrieved to calculate defects’ visual impact ratios (VIRs). The appropriate threshold values for these VIRs are selected through a manual rating survey. This way, for a given concrete surface image, its quality in terms of air pockets and discoloration can be automatically measured by judging whether their VIRs are below the threshold values or not. The method presented in this paper was implemented in C++ and a database of concrete surface images was tested to validate its performance.