3 citations · 4 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…
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,…
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…
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly +2
We present three parallel-beam tomographic datasets of 94 apples with internal defects along with defect label files. The datasets are prepared for development and testing of data-…
Fast optimal decomposed modification of FDK with potential decreasing of memory consuming
Vladyslav Andriiashen, Danila Kozhevnikov
We present a new algorithm for 3D cone-beam tomography. The algorithm is based on decomposition of the cone-beam backprojection operation and angular decimation. It has computation…