Show simple item record Bull, C. R. McFarlane, N. J. B. Zwiggelaar, Reyer Allen, C. J. Mottram, T. T. 2008-03-13T11:17:32Z 2008-03-13T11:17:32Z 1996-05-01
dc.identifier.citation Bull , C R , McFarlane , N J B , Zwiggelaar , R , Allen , C J & Mottram , T T 1996 , ' Inspection of teats by colour image analysis for automatic milking systems ' Computers and Electronics in Agriculture , vol 15 , no. 1 , pp. 15-26 . DOI: 10.1016/0168-1699(95)00054-2 en
dc.identifier.other PURE: 76204
dc.identifier.other PURE UUID: 13890897-ca89-45be-9f05-f4eb78c904d2
dc.identifier.other dspace: 2160/539
dc.description C.R. Bull, N.J.B. McFarlane, R. Zwiggelaar, C.J. Allen and T.T. Mottram, 'Inspection of teats by colour image analysis for automatic milking systems', Computers and Electronics in Agriculture 15 (1), 15-26 (1996) en
dc.description.abstract In order to implement robotic milking it is necessary to automate the inspection and cleaning of cow teats prior to milking. This paper assesses the potential of detecting manure on teats using information from a colour image obtained using a standard colour CCD camera. Twenty-nine images were taken on clean and contaminated teats and a pixel-by-pixel analysis was then performed on the data from each image. It was shown that the colour information could not be used to unambiguously label each pixel as corresponding to clean teat tissue or manure. However, integrating the hue and saturation information from all the pixels did enable classification of the teats into clean and dirty categories which was in reasonable agreement with human assessment. It was found that all eleven of the images of dirty teats were correctly identified whereas four of the eighteen clean teats were incorrectly labelled. en
dc.format.extent 12 en
dc.language.iso eng
dc.relation.ispartof Computers and Electronics in Agriculture en
dc.rights en
dc.title Inspection of teats by colour image analysis for automatic milking systems en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
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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