1 citations · 1 across the 2 of their papers we have counts for
3 papers
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
Jessica Plassmann, Nicolas Schuler, Georg von Freymann +1
Shearography is a non-destructive testing method for detecting subsurface defects, offering high sensitivity and full-field inspection capabilities. However, its industrial adoptio…
Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect Detection
Jessica Plassmann, Nicolas Schuler, Michael Schuth +1
Shearography is an interferometric technique sensitive to surface displacement gradients, providing high sensitivity for detecting subsurface defects in safety-critical components.…
Simulation of Speckle Interferometric Results for Enhanced Measurement and Automated Defect Detection
Jessica Plassmann, Michael Schuth, Georg von Freymann
Techniques like speckle holography and shearography are rarely applied due to the complexity of instrument setup and lack of automated result analysis, despite their potential. By…