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Adaptive Tri-direction Edge Detection Operators based on the Spiral Architecture

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

Coleman, SA, Gardiner, B and Scotney, BW (2010) Adaptive Tri-direction Edge Detection Operators based on the Spiral Architecture. In: 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong. IEEE Signal Processing Society. 4 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/ICIP.2010.5650008

Abstract

We present a general approach to the computation of adaptive tri-directional operators for use on hexagonal pixel-based images, based on the spiral architecture. We show that the use of Gaussian basis functions within the finite element method provides a framework for a systematic design procedure for operators that are adaptive to spiral neighbourhoods through the use of an explicit scale parameter. We evaluate the proposed operators using simulated hexagonal images and provide comparative results with the use of traditional rectangular operators.

Item Type:Conference contribution (Paper)
Keywords:Hexagonal images, spiral architecture, tri-directional operators, adaptive operators, image gradient operators, feature extraction
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:18634
Deposited By:Professor Bryan Scotney
Deposited On:23 May 2011 15:51
Last Modified:23 May 2011 15:51

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