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dc.contributor.author Bull, C. R.
dc.contributor.author Mooney, M. J.
dc.contributor.author Zwiggelaar, Reyer
dc.date.accessioned 2008-03-13T10:31:44Z
dc.date.available 2008-03-13T10:31:44Z
dc.date.issued 1996
dc.identifier.citation Bull , C R , Mooney , M J & Zwiggelaar , R 1996 , ' X-ray simulations for imaging applications in the agricultural and food industry ' Journal of Agricultural Engineering Research , vol 63 , no. 2 , pp. 161-170 . , 10.1006/jaer.1996.0018 en
dc.identifier.other PURE: 76131
dc.identifier.other dspace: 2160/536
dc.identifier.uri http://hdl.handle.net/2160/536
dc.description R. Zwiggelaar, C.R. Bull, and M.J. Mooney, 'X-ray simulations for imaging applications in the agricultural and food industry', Journal of Agricultural Engineering Research 63(2), 161-170 (1996) en
dc.description.abstract X-rays have not yet been used to their fullest potential in a range of application areas, especially the agricultural and food industries. As a sub-surface technique, X-ray radiation can give three-dimensional information about the spatial density differences and changes of the atomic number within a sample. To get a better understanding of the potential of X-ray imaging most of the physical processes involved can be described by certain computational simulation programs, for which a division can be made between linear attenuation and full photon history descriptions. Specific areas of interest are small changes in the density of materials which consist of low atomic number elements, and the use of scattered photon information. Specific results from both the linear attenuation and the full photon history approaches are presented, their usefulness for X-ray imaging, and application areas are discussed. The simulation approaches concentrate on the detection of perspex, a soft plastic, and cellulose in a water environment. Possible applications of these techniques within the agricultural and food industries, such as foreign-body detection, quality control and food processing, are indicated. en
dc.format.extent 10 en
dc.language.iso eng
dc.relation.ispartof Journal of Agricultural Engineering Research en
dc.title X-ray simulations for imaging applications in the agricultural and food industry en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1006/jaer.1996.0018
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Vision, Graphics and Visualisation Group en
dc.description.status Peer reviewed en


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