Abstract: Aiming at the problem of adaptive threshold setting of color image edge, by using the dynamic properties of the reaction-diffusion equation and optimizing the diffusion coefficient of the reaction-diffusion equation, the author proposed a cellular neural network color image edge detection method based on the reaction-diffusion equation to make the threshold more adaptive. The results show that the improved cellular neural network based on FitzHugh-Nagumo reaction-diffusion equation can better detect the edge of color image. Compared with several common methods, the experimental results also show that this method can not only ensure the accuracy of edge detection, but also maintain the color information of image edge, it is superior to other common methods in quantitative and qualitative analysis.

Key words: color image, edge detection, cellular neural network, reaction-diffusion equation, adaptive threshold