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Integral Spiral Image for Fast Hexagonal Image Processing

Coleman, SA, Scotney, BW and Gardiner, B (2013) Integral Spiral Image for Fast Hexagonal Image Processing. In: 17th International Conference on Image Analysis and Processing - ICIAP 2013, Naples, Italy. Springer. Vol 8157 10 pp. [Conference contribution]

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DOI: 10.1007/978-3-642-41184-7

Abstract

A common requirement for image processing tasks is to achieve real-time performance. One approach towards achieving this for tradition rectangular pixel-based images is to use an integral image that enables feature extraction at multiple scales in a fast and efficient manner. Alternative research has introduced the concept of hexagonal pixel-based images that closely mimic the human visual system: a real-time visual system. To enhance real time capability, we present a novel integral image for hexagonal pixel based images and associated multi-scale operator implementation that significantly accelerates the feature detection process. We demonstrate that the use of integral images enables significantly faster computation than the use of conventional spiral convolution or the use of neighbourhood address look-up tables.

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 > Intelligent Systems Research Centre
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:27225
Deposited By: Dr Sonya Coleman
Deposited On:02 Oct 2013 10:00
Last Modified:02 Oct 2013 10:00

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