Pein, Raoul Pascal, Lu, Joan, Stav, John Birger, Xu, Qiang, Uran, Miro and Mráz, Luboš (2009) An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques. In: 19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009). Curran Associates, pp. 939-946. ISBN 9781615676279
An_Intelligent_System_for_Analysing_Welding_Defects_using_Image_Retrieval_Techniques.pdf - Submitted Version
Download (3MB) | Preview
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:||Book Chapter|
|Additional Information:||Paper presented at Proceedings of the 19th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), 5th-8th July 2009, Teesside University|
|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
?? tserg ??
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
|Depositing User:||Raoul Pein|
|Date Deposited:||18 May 2010 15:27|
|Last Modified:||08 Oct 2013 09:40|
Downloads per month over past year
Repository Staff Only: item control page