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
Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Abdou, I., Pratt, W.: Quantitative design and evaluation of enhancement/thresholding edge detectors. Proceedings of the IEEE 67(5), 753–763 (1979)
Coleman, S.A., Gardiner, B., Scotney, B.W.: Adaptive Tri-Direction Edge Detection Operators based on the Spiral Architecture. In: IEEE ICIP, pp. 141–144 (2010)
Coleman, S.A., Scotney, B.W., Herron, M.G.: A Systematic Design Procedure for Scalable Near-Circular Laplacian of Gaussian Operators. In: ICPR, pp. 700–703 (2004)
Curcio, C.A., et al.: Human Photoreceptor Topography. Journal of Comparative Neurology 292, 497–523 (1990)
Dacey, D.M., Packer, O.S.: Receptive Field Structure of h1 Horizontal Cells in Macaque Monkey Retina. Journal of Vision 2(4), 279–292 (2000)
Hirsch, J., Miller, W.H.: Does Cone Positional Disorder Limit Resolution? Journal Optical Soc. of America A: Optics, Image Sci, and Vision 4, 1481–1492 (1987)
Middleton, L., Sivaswamy, J.: Hexagonal Image Processing; A Practical Approach. Springer, Heidelberg (2005)
Mollon, J.D., Bowmaker, J.K.: The Spatial Arrangement of Cones in the Primate Fovea. Nature 360, 677–679 (1992)
Roka, A., et al.: Edge Detection Model Based on Involuntary Eye Movements of the Eye-Retina System. Acta Polytechnica Hungarica 4(1), 31–46 (2007)
Sheridan, P.: Spiral Architecture for Machine Vision. Ph. D. Thesis, University of Technology, Sydney (1996)
Shima, T., Saito, S., Nakajima, M.: Design and Evaluation of More Accurate Gradient Operators on Hexagonal Lattices. IEEE Trans. PAMI 32(6), 961–973 (2010)
Vernon, D.: Machine Vision. Prentice Hall International (UK) Ltd, Englewood Cliffs (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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. https://doi.org/10.1007/978-3-642-24085-0_62
Download citation
DOI: https://doi.org/10.1007/978-3-642-24085-0_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24084-3
Online ISBN: 978-3-642-24085-0
eBook Packages: Computer ScienceComputer Science (R0)