关键词: 边缘检测, 细胞神经网络（CNN）, Mahalanobis距离, RGB彩色空间, 视见函数

Abstract: This paper proposes an color edge detection scheme based on Cellular Neural Metworks（CNN） mode.In order to take full information of the color image，uses Mahalanobis distance to measure the difference between the pixels in the RGB color space.The output image of conventional methods of edge detection is binary images.To solve this shortcoming，because CNN’s output images can be multi-value image，uses CNN to color image edge detection.Mahalanobis distance is used to modify gray CNN mode.Revising its measure of a difference between the pixels，it can be operational in the RGB color space.The experimental results indicate that the new method is more in line with the perception of the human eye.In addition，in the abundant local details or some tiny changes regions，the new method can achieve better results.

Key words: edge detection, Cell Neural Network（CNN）, Mahalanobis distance, RGB color space, visual function