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An Investigation in Image Retrieval for Analysing Welding Defects

Pein, Raoul Pascal, Lu, Joan and Stav, John Birger (2009) An Investigation in Image Retrieval for Analysing Welding Defects. In: The 2009 Infoscience, Infoengineering and Infotechnology Forum (Infosci 2009), 23rd-25th March 2009, Leipzig, Germany. (Unpublished)

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    Abstract

    The development of new approaches in image processing
    and retrieval provides several opportunities in supporting
    in different domains. The group of welding engineers frequently
    needs to conduct visual inspections to assess the quality
    of weldings. It is investigated, if this process can be supported
    by different kinds of software. A generic CBIR system
    has been successfully used to sort welding photographs
    according to the severity of visual faults. Similar algorithms
    were used to automatically spot and measure the diameter of
    gas pores.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: image analysis, content-based image retrieval,
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
    School of Computing and Engineering > Informatics Research Group
    School of Computing and Engineering > Informatics Research Group > Software Engineering Research Group
    School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
    Related URLs:
    Depositing User: Raoul Pein
    Date Deposited: 20 May 2010 11:37
    Last Modified: 10 Sep 2013 14:32
    URI: http://eprints.hud.ac.uk/id/eprint/7667

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