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|Title:||Image binarisation using the extended Kalman filter|
Camilleri, Kenneth P.
Cassar, Tracey A.
Fabri, Simon G.
Borg, Jonathan C.
|Publisher:||Institute for Systems and Technologies of Information, Control and Communication|
|Citation:||Bartolo, A., Camilleri, K. P., Cassar, T. A., Fabri, S. G., & Borg, J. C. (2005). Image binarisation using the extended Kalman filter. 2nd International Conference on Informatics in Control, Automation and Robotics (ICINCO), Barcelona. 153-162.|
|Abstract:||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.|
|Description:||This work has been mainly supported by Grant 73604 of the University of Malta.|
|Appears in Collections:||Scholarly Works - FacEngIME|
Scholarly Works - FacEngSCE
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|OA Conference paper - Image Binarisation using the Extended Kalman Filter-2-11.pdf||2.56 MB||Adobe PDF||View/Open|
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