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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 (Unpublished)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 > High-Performance Intelligent Computing
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School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:
Depositing User: Raoul Pein
Date Deposited: 20 May 2010 10:37
Last Modified: 10 Sep 2013 13:32
URI: http://eprints.hud.ac.uk/id/eprint/7667

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