Snailum, Nic P. (2006) ‘Thermal Footprint Detection’, Proceedings of Advances in Computing and Technology, (AC&T) The School of Computing and Technology 1st Annual Conference, University of East London, pp. 158-161.
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A method is presented which extracts a low contrast thermal human footprint from its surroundings. It uses a novel operator to combine separate blobs in the image without introducing unnecessary clutter. The morphological operation of dilation has been demonstrated on a binary image using the new operator, though the method should be extensible to other operations and to grey scale images.
|Divisions:||Schools > Architecture Computing and Engineering, School of|
|Additional Information:||Citation: Snailum, N.P. (2006) ‘Thermal Footprint Detection’ Proceedings of Advances in Computing and Technology, (AC&T) The School of Computing and Technology 1st Annual Conference, University of East London, pp.158-161..|
|Date Deposited:||12 Jul 2010 10:53|
|Item Type:||Conference or Event Item (Paper)|
|Creators:||Snailum, Nic P.|
|Last Modified:||27 Sep 2012 11:59|
|Depositing User:||Stephen Grace|