Edge detection of noisy images based on time-multiplexing CNN simulator

This paper presents a cellular neural network based edge detection of noisy images using Time-Multiplexing CNN Simulator. The experimental results of Time-Multiplexing CNN Simulator are compared with traditional edge detection operators Canny and Sobel. Simulation results show that the proposed simulator is accurately detecting the edge of noisy images.

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