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A Systematic Design Procedure for Scalable Near-Circular Laplacian of Gaussian Operators

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

Coleman, SA, Scotney, BW and Herron, MG (2004) A Systematic Design Procedure for Scalable Near-Circular Laplacian of Gaussian Operators. In: 17th IEEE International Conference on Pattern Recognition (ICPR 2004), Cambridge. IEEE Computer Society. Vol 1 4 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/ICPR.2004.1334275

Abstract

In low-level image processing tasks, the circularity of an operator has been shown to be an important factor affecting its accuracy as circular differential edge operators are effective in minimising the angular error in the estimation of image gradient direction. We present a general approach to the computation of scalable near-circular low-level Laplacian image processing operators that is based on the finite element method. We use Gaussian basis functions, together with a virtual finite element mesh, to illustrate the design of operators that are scalable to near-circular neighbourhoods through the use of an explicit scale parameter. The general design technique may be applied to a range of operators. Here, we illustrate the approach by discussing the implementation of a Laplacian operator, and we evaluate our approach by presenting comparative results with the Laplacian of Gaussian operators.

Item Type:Conference contribution (Paper)
Keywords:feature extraction, Laplacian of Gaussian, near-circular operators, scalable operators
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
Faculty of Computing & Engineering > School of Computing and Mathematics
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:6824
Deposited By:Professor Bryan Scotney
Deposited On:23 May 2011 15:41
Last Modified:23 May 2011 15:41

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