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Fuzzy logic-based image fusion for multi-view through-the-wall radar

Conference Paper


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Abstract


  • In this paper, we propose a new technique for image fusion in multi-view through-the-wall radar imaging system. As most existing image fusion methods for through-the-wall radar imaging only consider a global fusion operator, it is desirable to consider the differences between each pixel using a local operator. Here, we present a fuzzy logic-based method for pixel-wise image fusion. The performance of the proposed method is evaluated on both simulated and real data from through-the-wall radar imaging system. Experimental results show that the proposed method yields improved performance, compared to existing methods.

Publication Date


  • 2010

Citation


  • Seng, C. H., Bouzerdoum, A., Tivive, F. & Amin, M. G. (2010). Fuzzy logic-based image fusion for multi-view through-the-wall radar. Digital Image Computing: Techniques and Applications (pp. 423-428). USA: IEEE.

Scopus Eid


  • 2-s2.0-79951618154

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1843&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/830

Start Page


  • 423

End Page


  • 428

Abstract


  • In this paper, we propose a new technique for image fusion in multi-view through-the-wall radar imaging system. As most existing image fusion methods for through-the-wall radar imaging only consider a global fusion operator, it is desirable to consider the differences between each pixel using a local operator. Here, we present a fuzzy logic-based method for pixel-wise image fusion. The performance of the proposed method is evaluated on both simulated and real data from through-the-wall radar imaging system. Experimental results show that the proposed method yields improved performance, compared to existing methods.

Publication Date


  • 2010

Citation


  • Seng, C. H., Bouzerdoum, A., Tivive, F. & Amin, M. G. (2010). Fuzzy logic-based image fusion for multi-view through-the-wall radar. Digital Image Computing: Techniques and Applications (pp. 423-428). USA: IEEE.

Scopus Eid


  • 2-s2.0-79951618154

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1843&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/830

Start Page


  • 423

End Page


  • 428