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Multi-scale Feature Extraction in a Sub-Pixel Virtual Hexagonal Environment

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Gardiner, B, Coleman, SA and Scotney, BW (2008) Multi-scale Feature Extraction in a Sub-Pixel Virtual Hexagonal Environment. In: International Machine Vision and Image Processing Conference (IMVIP 2008), Portrush, Northern Ireland. UNSPECIFIED. 6 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/IMVIP.2008.29

Abstract

The area of hexagonal image representation has been explored for several decades based on the hexagonal structure's many advantages over conventional rectangular image grids. Due to existing image capture and display hardware being produced for rectangular structures only, most research to date has focused on developing an efficient software approach to mimic hexagonal grid structures. Only recently has the area of hexagonal image processing been investigated, where techniques such as rotation, scaling and edge detection have been implemented. In this paper, we present an approach to the development of multi-scale hexagonal gradient operators using the finite element framework. We apply these operators in a sub-pixel virtual hexagonal environment and provide both visual and quantitative results when comparing with standard rectangular image processing techniques.

Item Type:Conference contribution (Paper)
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
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:7118
Deposited By:Professor Bryan Scotney
Deposited On:20 Jan 2010 15:38
Last Modified:22 Sep 2011 09:15

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