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A Biologically Inspired Approach for Fast Image Processing

Coleman, SA, Scotney, BW and Gardiner, B (2013) A Biologically Inspired Approach for Fast Image Processing. In: IAPR International Conference on Machine Vision Applications (MVA), Kyoto, Japan. IAPR. 4 pp. [Conference contribution]

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Abstract

As features within an image may be present at many scales, application of feature detectors at multiple scales can improve accuracy of the detected localisation and orientation. As the scale and size of a feature detector increases, so does the computational complexity of implementation across the image domain. To address this issue we present a novel integral image for hexagonal pixel based images and associated multi-scale operator implementation that significantly speeds up the feature detection process. We demonstrate that this framework enables significantly faster computation than the use of conventional spiral convolution, the use of a neighbourhood address look-up table on hexagonal images.

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:26351
Deposited By: Dr Bryan Gardiner
Deposited On:27 Jun 2013 15:07
Last Modified:27 Jun 2013 15:07

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