Welding Inspection Using Novel Specularity Features and a One-class Svm
Year: 2009
Type: conference-paper
Abstract: : 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, since they capture more complex charac-teristics and depencies of shape and geometry. We obtain an error rate of 9%, which corresponds to the level of human performance. 1
Institution: University of Lübeck
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W44112875