X-Ray Image Generation as a Method of Performance Prediction for Real-Time Inspection: a Case Study
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10921-024-01091-8.pdf
Reference37 articles.
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2. Mathiassen, J.R., Misimi, E., Bondø, M., Veliyulin, E., Østvik, S.O.: Trends in application of imaging technologies to inspection of fish and fish products. Trends Food Sci. Technol. 22(6), 257–275 (2011). https://doi.org/10.1016/j.tifs.2011.03.006
3. Du, Z., Hu, Y., Ali Buttar, N., Mahmood, A.: X-ray computed tomography for quality inspection of agricultural products: a review. Food Sci. Nutr. 7(10), 3146–3160 (2019). https://doi.org/10.1002/fsn3.1179
4. Olakanmi, S., Karunakaran, C., Jayas, D.: Applications of X-ray micro-computed tomography and small-angle x-ray scattering techniques in food systems: A concise review. J. Food Eng. 342, 111355 (2023). https://doi.org/10.1016/j.jfoodeng.2022.111355
5. Naresh, K., Khan, K., Umer, R., Cantwell, W.J.: The use of X-ray computed tomography for design and process modeling of aerospace composites: a review. Mater. Design 190, 108553 (2020). https://doi.org/10.1016/j.matdes.2020.108553
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