Abstract
This paper proposes an evolvable hardware system with capability of evolution under varying illumination environment, which is implemented on reconfigurable field programmable gate array platform with ARM core and genetic algorithm processor. The proposed evolvable hardware system for image processing consists of the reconfigurable hardware module and the evolvable software module, which are implemented using SoC platform board with the Xilinx Virtex2 FPGA, the ARM core and the GAP. The experiment result shows that images affected by environment changes are enhanced for various illumination image environments.
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References
Higuchi, T., Iwata, M., Liu, W.: Evolvable Systems: From Biology to Hardware, Tsukuba. Springer, Heidelberg (1996)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading (1989)
Stoica, A., et al.: Reconfigurable VLSI Architectures for Evolvable Hardware: From Experimental Field Programming Transistor Arrays to Evolution-Oriented Chip. IEEE Trans. on VLSI Systems 9(1) (2001)
Bossmaier, T.R.J.: Efficient image representation by Gabor functions - an information theory approach. In: Kulikowsji, J.J., Dicknson, C.M., Murray, I.J. (eds.), pp. 698–704. Pergamon Press, Oxford
Marshall, A., Stansfield, T., Kostarnov, I., et al.: A Reconfigurable Arithmetic Array for Multimedia Applications. In: ACM/SIGDA International Symposium on FPGAs, pp. 135–143 (1999)
Bondalapati, K.K.: Modeling and Mapping for Dynamically Reconfigurable Hybrid Architectures, PhD thesis, University of Southern California (2001)
Goldberg, D.: Genetic Algorithm in Search, Optimization, and Machine Learning. Addison-Wesley, Reading (1989)
Faugman, J.: Uncertainty relation for resolution in space, spatial frequency, and orientation optimization by two-dimensional cortical filters. Jounal Opt. Soc. Amer. 2(7), 675–676 (1985)
Wiskott, L., Fellous, J.-M., Kuiger, N., von der Malsburg, C.: Face Recognition by Elastic Bunch Graph Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 19, 775–779 (1997)
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Jeon, I.J., Rhee, P.K. (2005). An Evolvable Hardware System Under Varying Illumination Environment. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_42
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DOI: https://doi.org/10.1007/11539902_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28320-1
Online ISBN: 978-3-540-31863-7
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