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An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques

By Raoul Pascal Pein, Joan Lu, John Birger Stav, Qiang Xu, Miro Uran and Luboš Mráz

Abstract

The development of new approaches in image processing and retrieval provides several opportunities in supporting in different\ud domains. The group of welding engineers frequently needs to conduct visual inspections to assess the quality of welding products.\ud It is investigated, if this process can be supported by different kinds of software. Techniques from a generic CBIR system have\ud been successfully used to cluster welding photographs according to the severeness of visual faults. Similarity algorithms were\ud used to automatically spot faults, such as cracks and gas pores

Topics: QA75
Publisher: Curran Associates
Year: 2009
OAI identifier: oai:eprints.hud.ac.uk:7670

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