CUED Publications database

Construction site image retrieval based on material cluster recognition

Brilakis, IK and Soibelman, L and Shinagawa, Y (2006) Construction site image retrieval based on material cluster recognition. Advanced Engineering Informatics, 20. pp. 443-452. ISSN 1474-0346

Full text not available from this repository.


The capability to automatically identify shapes, objects and materials from the image content through direct and indirect methodologies has enabled the development of several civil engineering related applications that assist in the design, construction and maintenance of construction projects. This capability is a product of the technological breakthroughs in the area of image processing that has allowed for the development of a large number of digital imaging applications in all industries. In this paper, an automated and content based construction site image retrieval method is presented. This method is based on image retrieval techniques, and specifically those related with material and object identification and matches known material samples with material clusters within the image content. The results demonstrate the suitability of this method for construction site image retrieval purposes and reveal the capability of existing image processing technologies to accurately identify a wealth of materials from construction site images.

Item Type: Article
Uncontrolled Keywords: Images Construction Image retrieval Information retrieval Materials Clustering
Divisions: Div D > Construction Engineering
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:29
Last Modified: 21 Jun 2018 02:25