Optical Inspection of Welding Seams
نویسندگان
چکیده
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.
منابع مشابه
Welding Inspection using Novel Specularity Features and a One-class SVM
We present a framework for automatic inspection of welding seams based on specular reflections. Therefore, we introduce a novel feature set – called specularity features (SPECs) – describing statistical properties of specular reflections. For classification we use a one-class support-vector approach. The SPECs significantly outperform statistical geometric features and raw pixel intensities, si...
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