The research presented in this contribution is focused on the efficient hardware implementation of image processing algorithms that are present at different levels of a smart vision system. The system is conceived as a reconfigurable embedded device which, in turn, will be a node of a collaborative sensor network. The inclusion of fuzzy logic techniques is explored to improve the performance of conventional vision algorithms. This project is integrated into the research line dedicated to 'Embedded Systems' of the 'Microelectronics' PhD Program from the University of Seville ("Microelectronics doctorate program"). The author is financially supported by one of the most prestigious fellowship in Spain, the FPU Program from the Ministry of Education of the Spanish Government. The work is partially funded by project TEC2011-24319 from the Spanish Government with support from FEDER.
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