Journal article
Novelty detection of foreign objects in food using multi-modal X-ray imaging
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Technical University of Munich4
In this paper we demonstrate a method for novelty detection of foreign objects in food products using grating-based multimodal X-ray imaging. With this imaging technique three modalities are available with pixel correspondence, enhancing organic materials such as wood chips, insects and soft plastics not detectable by conventional X-ray absorption radiography.
We conduct experiments, where several food products are imaged with common foreign objects typically found in the food processing industry. To evaluate the benefit from using this multi-contrast X-ray technique over conventional X-ray absorption imaging, a novelty detection scheme based on well known image- and statistical analysis techniques is proposed.
The results show that the presented method gives superior recognition results and highlights the advantage of grating-based imaging.
Language: | English |
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Year: | 2016 |
Pages: | 39-47 |
ISSN: | 18737129 and 09567135 |
Types: | Journal article |
DOI: | 10.1016/j.foodcont.2016.02.023 |
ORCIDs: | 0000-0001-9109-7175 , Emerson, Monica Jane , Clemmensen, Line Katrine Harder , Larsen, Rasmus and Ersbøll, Bjarne Kjær |