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Found 5 papers, 3 papers with code
X-ray Image Generation as a Method of Performance Prediction for Real-Time Inspection: a Case Study
We show how a calibrated image generation model can be used to quantitatively evaluate the effect of the X-ray exposure time on the performance of the inspection system.
Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit with internal disorders
Our workflow allows collecting large datasets of accurately aligned photo-CT image pairs, which can help distinguish internal disorders with a similar appearance on CT. With slight modifications, a similar workflow can be applied to other fruits or MRI instead of CT scans.
Quantifying the effect of X-ray scattering for data generation in real-time defect detection
X-ray scattering is known to be computationally expensive to simulate, and this effect can heavily influence the accuracy of a generated X-ray image.
A tomographic workflow to enable deep learning for X-ray based foreign object detection
In this work, we propose a Computed Tomography (CT) based method for producing training data for supervised learning of foreign object detection, with minimal labour requirements.
Unsupervised foreign object detection based on dual-energy absorptiometry in the food industry
A novel thickness correction model is introduced as a pre-processing technique for DEXA data.
