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Fast Feature Map Pyramids for Hexagonal Image Structures

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 Feature Map Pyramids for Hexagonal Image Structures. In: International Machine Vision and Image Processing Conference (IMVIP 2009), Dublin, Ireland. UNSPECIFIED. 6 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/IMVIP.2009.15

Abstract

Improving the computational efficiency of image processing tasks has become a dominant issue with the ultimate goal of real-time processing. One solution to improve efficiency is the use of a hexagonal image representation and we present an approach to feature extraction on hexagonal images using an edge map pyramid approach that further reduces the computational cost. The efficient performance of this approach is demonstrated by comparing run-times for obtaining edge maps by applying multi-scale operators directly to hexagonal images with the edge map pyramid approach.

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:6865
Deposited By:Professor Bryan Scotney
Deposited On:20 Jan 2010 15:36
Last Modified:22 Sep 2011 09:20

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