5 papers
Vision-Language Based Expert Reporting for Painting Authentication and Defect Detection
Eman Ouda, Mohammed Salah, Arsenii O. Chulkov +4
Authenticity and condition assessment are central to conservation decision-making, yet interpretation and reporting of thermographic output remain largely bespoke and expert-depend…
Towards Cognitive Defect Analysis in Active Infrared Thermography with Vision-Text Cues
Mohammed Salah, Eman Ouda, Giuseppe Dell'Avvocato +6
Active infrared thermography (AIRT) is currently witnessing a surge of artificial intelligence (AI) methodologies being deployed for automated subsurface defect analysis of high pe…
Masked Sequence Autoencoding for Enhanced Defect Visualization in Active Infrared Thermography
Mohammed Salah, Eman Ouda, Stefano Sfarra +2
Active infrared thermography (AIRT) became a crucial tool in aerospace non-destructive testing (NDT), enabling the detection of hidden defects and anomalies in materials by capturi…
PCA-Guided Autoencoding for Structured Dimensionality Reduction in Active Infrared Thermography
Mohammed Salah, Numan Saeed, Davor Svetinovic +3
Active Infrared thermography (AIRT) is a widely adopted non-destructive testing (NDT) technique for detecting subsurface anomalies in industrial components. Due to the high dimensi…
Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography
Mohammed Salah, Naoufel Werghi, Davor Svetinovic +1
AI-driven pulse thermography (PT) has become a crucial tool in non-destructive testing (NDT), enabling automatic detection of hidden anomalies in various industrial components. Cur…