Pein, Raoul Pascal, Lu, Joan, Stav, John Birger, Xu, Q., Uran, Miro and Mráz, Luboš (2009) An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques. In: Proceedings of the 19th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), 5th-8th July 2009, Teesside University.
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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 welding products.
It is investigated, if this process can be supported by different kinds of software. Techniques from a generic CBIR system have
been successfully used to cluster welding photographs according to the severeness of visual faults. Similarity algorithms were
used to automatically spot faults, such as cracks and gas pores.
|Item Type:||Conference or Workshop Item (Paper)|
|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
|Depositing User:||Raoul Pein|
|Date Deposited:||18 May 2010 16:27|
|Last Modified:||09 Dec 2010 12:37|
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