Publications

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Conference Abstract
F. Danckaers, Huysmans, T., Rogge, S., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Building a statistical shape model of the interior and exterior of the bell pepper, 30th Targeted Technologies for Sustainable Food Systems (EFFoST) International Conference, vol. 28-30 November. Vienna, Austria, 2016.
M. Van Dael, Danckaers, F., De Schryver, T., Huysmans, T., Verboven, P., Van Hoorebeke, L., Sijbers, J., and Nicolai, B., Combining 3D vision and X-ray radiography for internal quality inspection of foods, 30th Targeted Technologies for Sustainable Food Systems (EFFoST) International Conference. Austrian Economic Chamber, Vienna, Austria, 2016.
Z. Wang, Rogge, S., Van Dael, M., Van Nieuwenhove, V., Verboven, P., Sijbers, J., and Nicolai, B., Understanding microstructural deformation of apple tissue from 4D micro-CT imaging, ISHS Symposium 2016: Sensing Plant Water Status - Methods and Applications in Horticultural Science. Potsdam, Germany, 5-7 October. 2016.
Journal Article
F. Danckaers, Huysmans, T., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Building 3D Statistical Shape Models of Horticultural Products, Food and Bioprocess Technology, vol. 10, no. 11, pp. 2100-2112, 2017.PDF icon Download paper (1.73 MB)
F. Danckaers, Huysmans, T., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Building a Statistical Shape Model of the Apple from Corresponded Surfaces, Chemical Engineering Transactions, vol. 44, pp. 49-54, 2015.PDF icon Download paper (696.94 KB)
M. Van Dael, Verboven, P., Zanella, A., Sijbers, J., and Nicolai, B., Combination of shape and X-ray inspection for apple internal quality control: in silico analysis of the methodology based on X-ray computed tomography, Postharvest Biology and Technology, vol. 148, pp. 218-227, 2019.
E. Janssens, Alves Pereira, L. F., De Beenhouwer, J., Tsang, I. R., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Fast inline inspection by neural network based filtered backprojection: Application to apple inspection, Case Studies in Nondestructive Testing and Evaluation, vol. 6, pp. 14–20, 2016.PDF icon Download paper (726.63 KB)
E. Janssens, Pelt, D., De Beenhouwer, J., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Fast Neural Network Based X-Ray Tomography of Fruit on a Conveyor Belt, Chemical Engineering Transactions, vol. 44, pp. 181-186, 2015.
L. F. Alves Pereira, Janssens, E., Cavalcanti, G. D. C., Tsang, I. R., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Inline Discrete Tomography system: application to agricultural product inspection, Computers and Electronics in Agriculture, vol. 138, pp. 117–126, 2017.
T. De Schryver, Dhaene, J., Dierick, M., Boone, M. N., Janssens, E., Sijbers, J., Van Dael, M., Verboven, P., Nicolai, B., and Van Hoorebeke, L., In-line NDT with X-Ray CT combining sample rotation and translation, NDT & E International, vol. 89, pp. 89–98, 2016.
T. Van De Looverbosch, Jiaqi, H., Tempelaere, A., Kelchtermans, K., Verboven, P., Tuytelaars, T., Sijbers, J., and Nicolai, B., Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images, Computers and Electronics in Agriculture, vol. 197, no. 106962, pp. 1-14, 2022.
M. Van Dael, Verboven, P., Dhaene, J., Van Hoorebeke, L., Sijbers, J., and Nicolai, B., Multisensor X-ray inspection of internal defects in horticultural products, Postharvest Biology and Technology, vol. 128, pp. 33–43, 2017.
E. Janssens, De Beenhouwer, J., Van Dael, M., De Schryver, T., Van Hoorebeke, L., Verboven, P., Nicolai, B., and Sijbers, J., Neural network Hilbert transform based filtered backprojection for fast inline X-ray inspection, Measurement Science and Technology, vol. 29, no. 3, 2018.PDF icon Download paper (3.4 MB)
T. Van De Looverbosch, Raeymaekers, E., Verboven, P., Sijbers, J., and Nicolai, B., Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning, Expert Systems with Applications, vol. 176, no. 114925, pp. 1-12, 2021.
T. Van De Looverbosch, Bhuiyan, H. Rahman, Verboven, P., Dierick, M., Van Loo, D., De Beenhouwer, J., Sijbers, J., and Nicolai, B., Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning, Food Control, vol. 113, no. 107170, pp. 1-13, 2020.
M. Van Dael, Rogge, S., Verboven, P., Saeys, W., Sijbers, J., and Nicolai, B., Online Tomato Inspection Using X-Ray Radiographies and 3- Dimensional Shape Models, Chemical Engineering Transactions, vol. 44, pp. 37-42, 2015.
M. Van Dael, Lebotsa, S., Herremans, E., Verboven, P., Sijbers, J., Opara, U. L., Cronje, U. L., and Nicolai, B., A segmentation and classification algorithm for online detection of internal disorders in citrus using X-ray radiographs, Postharvest Biology and Technology, vol. 112, pp. 205-214, 2016.