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Tri-directional Gradient Operators for Hexagonal Image Processing

Coleman, Sonya, Bryan, Scotney and Gardiner, Bryan (2016) Tri-directional Gradient Operators for Hexagonal Image Processing. Journal of Visual Communication and Image Representation, 38 . pp. 614-626. [Journal article]

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DOI: doi:10.1016/j.jvcir.2016.04.001

Abstract

Image processing has traditionally involved the use of square operators on regular rectangular image lattices. For many years the concept of using hexagonal pixels for image capture has been investigated, and several advantages of such an approach have been highlighted. We present a design procedure for hexagonal gradient operators, developed within the finite element framework, for use on hexagonal pixel based images. In order to evaluate the approach, we generate pseudo hexagonal images via resizing and resampling of rectangular images. This approach also allows us to present results visually without the use of hexagonal lattice capture or display hardware. We provide comparative results with existing gradient operators, both rectangular and hexagonal.

Item Type:Journal article
Keywords:Hexagonal image processing; Scalable operator; Tri-directional operator; Gradient operator
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:34855
Deposited By: Dr Sonya Coleman
Deposited On:21 Jun 2016 15:23
Last Modified:17 Oct 2017 16:23

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