Optical Inspection of Welding Seams

Abstract

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.
OriginalspracheEnglisch
TitelComputer Vision, Imaging and Computer Graphics. Theory and Applications
Redakteure/-innenAlpeshKumar Ranchordas, João Madeiras Pereira, Hélder J. Araújo, João Manuel R. S. Tavares
Seitenumfang14
Band68
ErscheinungsortBerlin, Heidelberg
Herausgeber (Verlag)Springer Berlin Heidelberg
Erscheinungsdatum2010
Seiten269-282
ISBN (Print)978-3-642-11839-5
ISBN (elektronisch)978-3-642-11840-1
DOIs
PublikationsstatusVeröffentlicht - 2010
VeranstaltungInternational Joint Conference - Lissabon, Portugal
Dauer: 05.02.200908.02.2009

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