A knowledge-based system for the non-destructive diagnostics of façade isolation using the information fusion of visual and IR images

Authors:
Slobodan Ribarić;Darijan Marčetić;Denis Stjepan Vedrina
Affiliations:
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia;Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia;Faculty of Chemical Engineering and Technology, University of Zagreb, Marulićev trg 19, 10000 Zagreb, Croatia
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

This paper describes a knowledge-based system for the non-destructive diagnostics of facade isolation. The system uses the fusion of information extracted from images obtained from two electromagnetic wavebands: from low-resolution IR images (320x240 pixels; 7.5-13@mm wavelength), and from high-resolution visual RGB images (3264x2448 pixels; 0.39-0.75@mm wavelength). The fusion of the information is a perquisite for the design of an efficient knowledge-based system for non-destructive testing and facade diagnostics. In the paper, special attention is devoted to the following knowledge-based system components: system-core components (the database, the knowledge base, the inference engine, and the user interface) and application-specific components (image acquisition, the resolution pyramid, image pre-processing and feature extraction, image registration, object segmentation, fusion, and data analysis). Examples of the non-destructive testing and the facade diagnostics obtained with the system are presented.