A charge-controlled memristor model for image edge detection with a memristive grid

Image edge detection has been carried out in last years by implementing nonlinear resistive grids. With the advent of the memristor as a real device, recent explorations have been oriented to the achieve this processing by using a grid that is formed by memristors. In this paper, we develop a charge-controlled model for the memristor that is incorporated to the grid. The qualitative behaviour of output images of the proposed memristive grid exhibits a high performance and the comparison with the outcomes made by humans show excellent agreement.

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