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Fast Multiscale Operator Development For Hexagonal Images

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

Gardiner, B, Coleman, SA and Scotney, BW (2009) Fast Multiscale Operator Development For Hexagonal Images. In: 1st Annual Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2009), Jena, Germany. UNSPECIFIED. 10 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1007/978-3-642-03798-6_29

Abstract

For many years the concept of using hexagonal pixels for image capture has been investigated, and several advantages of such an approach have been highlighted. Recently there has been a renewed interested in using hexagonal pixel based images for various image processing tasks. Therefore, we present a design procedure for scalable hexagonal gradient operators, developed within the finite element framework, for use on hexagonal pixel based images. We highlight the efficiency of our approach, based on computing just one small neighbourhood operator and generating larger scale operators via linear additions of the small operator. We also demonstrate that scaled salient feature maps can be generated from one low level feature map without the need for application of larger operators.

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:6864
Deposited By:Professor Bryan Scotney
Deposited On:20 Jan 2010 15:37
Last Modified:22 Sep 2011 09:20

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