Automated Detection of hidden Damages and Impurities in Aluminum Die Casting Materials and Fibre-Metal Laminates using Low-quality X-ray Radiography, Synthetic X-ray Data Augmentation by Simulation, and Machine Learning.
Stefan BosseDirk LehmhusPublished in: CoRR (2023)
Keyphrases
- x ray
- low quality
- x ray images
- intraoperative
- machine learning
- tomographic images
- cone beam
- medical imaging
- digital x ray images
- high quality
- automated detection
- metal oxide
- three dimensional
- electron microscopy
- data analysis
- statistical methods
- statistical analysis
- projection images
- computer assisted
- thin film
- electron beam
- transmission electron microscopy