Grey-scale morphology applied to shoeprint detection

Conference paper

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
AuthorsSnailum, Nic P.
TypeConference paper
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.

Keywordsforensic tools; footprints; lowcontrast thermal images
Year2007
ConferenceProceedings of Advances in Computing and Technology
Accepted author manuscript
License
CC BY-ND
Publication dates
Print2007
Publication process dates
Deposited22 Jul 2010
Web address (URL)http://www.uel.ac.uk/act/proceedings/documents/ACT07.pdf
http://hdl.handle.net/10552/885
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.

Place of publicationUniversity of East London
Page range208-211
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Accepted author manuscript
Snailum, NP (2007) AC&T 208-11.pdf
License: CC BY-ND

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