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Coarse Scale Feature Extraction Using the Spiral Architecture Structure

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) Coarse Scale Feature Extraction Using the Spiral Architecture Structure. In: Intenational Conference on Pattern Recognition, Turkey. IAPR. 4 pp. [Conference contribution]

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DOI: 10.1109/ICPR.2010.580

Abstract

The Spiral Architecture has been developed as a fast way ofindexing a hexagonal pixel-based image. In combinationwith spiral addition and spiral multiplication, methods havebeen developed for hexagonal image processing operationssuch as translation and rotation. Using the SpiralArchitecture as the basis for our operator structure, wepresent a general approach to the computation of adaptivecoarse scale Laplacian operators for use on hexagonal pixelbasedimages. We evaluate the proposed operators usingsimulated hexagonal images and demonstrate improvedperformance when compared with rectangular Laplacianoperators such as Marr-Hildreth.

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:15989
Deposited By:Dr Sonya Coleman
Deposited On:12 Oct 2010 10:32
Last Modified:22 Sep 2011 09:22

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