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Image Binarisation using the Extended Kalman Filter

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Form design is frequently carried out through paper sketches of the designer’s mental model of an object. To improve the time it takes from solution concept to production it would therefore be beneficial if paperbased sketches can be automatically interpreted for importation into three-dimensional geometric computer aided design (CAD) systems. This however requires image pre-processing before initiating the automated interpretation of the drawing. This paper proposes a novel application of the Extended Kalman Filter to guide the binarisation process, thus achieving suitable and automatic classification between image foreground and background.

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© 2007 Springer

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Bartolo, A., Cassar, T., Camilleri, K.P., Fabri, S.G., Borg, J.C. (2007). Image Binarisation using the Extended Kalman Filter. In: Filipe, J., Ferrier, JL., Cetto, J.A., Carvalho, M. (eds) Informatics in Control, Automation and Robotics II. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5626-0_19

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  • DOI: https://doi.org/10.1007/978-1-4020-5626-0_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-5625-3

  • Online ISBN: 978-1-4020-5626-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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