Novel color edge detector derived from CNN mode
Wang Zhi-liang · Computer Engineering and Applications Journal · 2008
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.