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Journal of Sensors
Volume 2017 (2017), Article ID 7051931, 8 pages
Research Article

Automated Recognition of a Wall between Windows from a Single Image

State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China

Correspondence should be addressed to Linsheng Huo

Received 12 January 2017; Revised 8 April 2017; Accepted 12 April 2017; Published 3 May 2017

Academic Editor: Julio Rodriguez-Quiñonez

Copyright © 2017 Yaowen Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


To avoid the time-consuming, costly, and expert-dependent traditional assessment of earthquake damaged structures, image-based automatic methods have been developed recently. Since automated recognition of structure elements is the basis by which these methods achieve automatic detection, this study proposes a method to recognize the wall between windows from a single image automatically. It begins from detection of line segments with further selection and linking to obtain longer line segments. The color features of the two sides of each long line segment are employed to pick out line segments as candidate window edges and then label them. Finally, the images are segmented into several subimages, window regions are located, and then the wall between the windows is located. Real images are tested to verify the method. The results indicate that walls between windows can be successfully recognized.