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Design of Feature Extraction Operators for use on Biologically Motivated Hexagonal Image Structures

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

Coleman, SA, Scotney, BW and Gardiner, B (2009) Design of Feature Extraction Operators for use on Biologically Motivated Hexagonal Image Structures. In: IAPR Conference on Machine Vision and Applications (MVA 2009), Yokohama, Japan. UNSPECIFIED. 4 pp. [Conference contribution]

Full text not available from this repository.

URL: http://www.mva-org.jp/Proceedings/2009CD/papers/06-02.pdf

Abstract

For many years the concept of using hexagonal pixelsfor image capture has been investigated, and severaladvantages of such an approach have been highlighted.Recently there has been a renewed interest in the use ofhexagonal images: biologically inspired approaches,representation of architectures for such images andgeneral hexagonal image processing. We present multiscalehexagonal gradient operators that are developedwithin the finite element framework for use directly onhexagonal pixel-based images. We evaluate the proposedoperators using simulated hexagonal images and provideperformance evaluation using the Figure of Merittechnique for comparison with existing hexagonal gradientoperators.

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:6860
Deposited By:Professor Bryan Scotney
Deposited On:20 Jan 2010 15:43
Last Modified:22 Sep 2011 09:16

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