Optical Inspection of Welding Seams


We present a framework for automatic inspection of welding seams based on specular reflections. To this end, we make use of a feature set -- called specularity features (SPECs) -- that describes statistical properties of specular reflections. For the classification we use a one-class support-vector approach. We show that the SPECs significantly outperform other approaches since they capture more complex characteristics and dependencies of shape and geometry. We obtain an error rate of 3.8%, which corresponds to the level of human performance.
Original languageEnglish
Title of host publicationComputer Vision, Imaging and Computer Graphics. Theory and Applications
EditorsAlpeshKumar Ranchordas, João Madeiras Pereira, Hélder J. Araújo, João Manuel R. S. Tavares
Number of pages14
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Publication date2010
ISBN (Print)978-3-642-11839-5
ISBN (Electronic)978-3-642-11840-1
Publication statusPublished - 2010
EventInternational Joint Conference - Lissabon, Portugal
Duration: 05.02.200908.02.2009


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