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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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.
|Divisions:||Schools > Architecture Computing and Engineering, School of|
|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.|
|Date Deposited:||22 Jul 2010 11:10|
|Item Type:||Conference or Event Item (Paper)|
|Creators:||Snailum, Nic P.|
|Last Modified:||27 Sep 2012 11:58|
|Depositing User:||Stephen Grace|