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Biologically Motivated Feature Extraction

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

Coleman, SA, Scotney, BW and Gardiner, B (2011) Biologically Motivated Feature Extraction. In: 16th International Conference on Image Analysis and Processing, Ravenna, Italy. Springer. Vol 6978/2011 10 pp. [Conference contribution]

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DOI: 10.1007/978-3-642-24085-0_62

Abstract

We present a biologically motivated approach to fast feature extraction on hexagonal pixel based images using the concept of eye tremor in combination with the use of the spiral architecture and convolution of non-overlapping Laplacian masks. We generate seven feature maps “a-trous” that can be combined into a single complete feature map, and we demonstrate that this approach is significantly faster than the use of conventional spiral convolution or 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
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:20154
Deposited By:Dr Sonya Coleman
Deposited On:29 Sep 2011 13:34
Last Modified:29 Sep 2011 13:34

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