Grey-scale morphology applied to shoeprint detection

Snailum, Nic P. (2007) ‘Grey-scale morphology applied to shoeprint detection’, Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 2nd Annual Conference. University of East London, pp. 208-211.

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Snailum, NP (2007) AC&T 208-11.pdf - Accepted Version
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Abstract

In a previous paper (Snailum 2005) a method was presented which extracted a low contrast thermal human footprint from its surroundings using a novel operator. The morphological operation of dilation was demonstrated using a binary image. In this paper, greyscale images are employed with the dilation erosion and closing operations. Various structuring elements were tested. The best performance was obtained using a diagonal cross operator.

Item Type: Conference or Event Item (Paper)
Additional Information: Citation: Snailum, N.P. (2007) ‘Grey-scale morphology applied to shoeprint detection’ Proceedings of Advances in Computing and Technology, (AC&T) The School of Computing and Technology 2nd Annual Conference, University of East London, pp.208-211.
Divisions: Schools > Architecture Computing and Engineering, School of
Depositing User: Mr Stephen Grace
Date Deposited: 22 Jul 2010 11:10
Last Modified: 27 Sep 2012 11:58
URI: http://hdl.handle.net/10552/885

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