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Device Space Design for Efficient Scale-Space Edge Detection

Scotney, BW, Coleman, SA and Herron, MG (2002) Device Space Design for Efficient Scale-Space Edge Detection. In: International Conference on Computational Science (ICCS 2002), Amsterdam, The Netherlands. Springer-Verlag. Vol LNCS 2 10 pp. [Conference contribution]

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DOI: 10.1007/3-540-46043-8_109


We present a new approach to the computation of scalable image derivative operators, based on the finite element method, that addresses the issues of method, efficiency and scale-adaptability. The design procedure is applied to the problem of approximating scalable differential operators within the framework of Schwartz distributions. Within this framework, the finite element approach allows us to define a device space in which scalable image derivative operators are implemented using a combination of piecewise-polynomial and Gaussian basis functions.Here we illustrate the approach in relation to the problem of scale-space edge detection, in which significant scale-space edge points are identified by maxima of existing edge-strength measures that are based on combinations of scale-normalised derivatives. We partition the image in order to locally identify approximate ranges of scales within which significant edge points may exist, thereby avoiding unnecessary computation of edge-strength measures across the entire range of scales.

Item Type:Conference contribution (Paper)
Keywords:device space design, scale space, edge detection, image derivative operators
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Faculty of Computing & Engineering > School of Computing and Information Engineering
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:6787
Deposited By: Professor Bryan Scotney
Deposited On:23 May 2011 14:38
Last Modified:23 May 2011 14:38

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