Biologically Motivated Feature Extraction

  • Sonya Coleman
  • Bryan Scotney
  • Bryan Gardiner
Conference paper

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

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6978)
Cite this paper as:
Coleman S., Scotney B., Gardiner B. (2011) Biologically Motivated Feature Extraction. In: Maino G., Foresti G.L. (eds) Image Analysis and Processing – ICIAP 2011. ICIAP 2011. Lecture Notes in Computer Science, vol 6978. Springer, Berlin, Heidelberg

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.

Keywords

hexagonal images feature extraction spiral architecture eye tremor 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sonya Coleman
    • 1
    • 2
  • Bryan Scotney
    • 1
    • 2
  • Bryan Gardiner
    • 1
    • 2
  1. 1.School of Computing and Intelligent SystemsUniversity of UlsterMageeUK
  2. 2.School of Computing and Information EngineeringUniversity of UlsterColeraineUK

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