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Found 4 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.
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.
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.
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
Therefore the datasets can be used for image reconstruction, segmentation, automatic defect detection, and testing the effects of (as well as applying new methodologies for removing) label bias in machine learning.
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