Abstract
This chapter presents the implementation of Quantum-dot Cellular Automata (QCA) technology for image processing mathematical morphology operations. The basic concepts for both mathematical morphology and QCA technology are briefly described. QCA is a very promising emerging technology in the field of nanoelectronics that seems to suit well with image processing needs. The design of QCA circuits fundamental components are presented and the methodology that should be followed for a robust design of more complex circuits is recorded. Two QCA circuits for the implementation of morphological erosion and dilation are designed, simulated and tested. Results show that the QCA architecture provide better performance by exploiting parallel processing, ease of mask generation, better silicon-area utilization, maximization of clock speed and very low power consumption.
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