6 citations · 10 across the 5 of their papers we have counts for
5 papers
X-ray Image Generation as a Method of Performance Prediction for Real-Time Inspection: a Case Study
Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen +1
X-ray imaging can be efficiently used for high-throughput in-line inspection of industrial products. However, designing a system that satisfies industrial requirements and achieves…
Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit with internal disorders
Dirk Elias Schut, Rachael Maree Wood, Anna Katharina Trull +4
A large percentage of apples are affected by internal disorders after long-term storage, which makes them unacceptable in the supply chain. CT imaging is a promising technique for…
Quantifying the effect of X-ray scattering for data generation in real-time defect detection
Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen +1
Background: X-ray imaging is widely used for the non-destructive detection of defects in industrial products on a conveyor belt. In-line detection requires highly accurate, robust,…
A tomographic workflow to enable deep learning for X-ray based foreign object detection
Mathé T. Zeegers, Tristan van Leeuwen, Daniël M. Pelt +3
Detection of unwanted (`foreign') objects within products is a common procedure in many branches of industry for maintaining production quality. X-ray imaging is a fast, non-invasi…
Unsupervised foreign object detection based on dual-energy absorptiometry in the food industry
Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen +1
X-ray imaging is a widely used technique for non-destructive inspection of agricultural food products. One application of X-ray imaging is the autonomous, in-line detection of fore…