2 papers
cs.CV2026
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.…
cs.CV2025
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…