Abstract
This paper proposes an evolvable hardware system with capability of evolution under uneven image environment, which is implemented on reconfigurable field programmable gate array (FPGA) platform with ARM core and genetic algorithm processor (GAP). Parallel genetic algorithm based reconfigurable architecture system evolves image filter blocks to explore optimal configuration of filter combination, associated parameters, and structure of feature space adaptively to uneven illumination and noisy environments for an adaptive image processing. 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 various environment changes are enhanced for various illumination and salt & pepper noise image environments.
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Jeon, I.J., Rhee, P.K., Lee, H. (2005). An Evolvable Hardware System Under Uneven Environment. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_42
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DOI: https://doi.org/10.1007/11552451_42
Publisher Name: Springer, Berlin, Heidelberg
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