A New Edge Detection Algorithm on the Basis of Knowledge
一个基于知识的边沿提取算法

This paper presents the powerful ability of the neural network, and puts forward a new structure of the network in edge detection. On the basis of the understanding of Marr algorithm, the characteristics of Marr are taken great consideration into the structure of the network so as to improve the performance of algorithm. Meanwhile, under different noisy environment, among different algorithms in edge detection, comparative analyses are made to reveal that new method owns the powerful ability of anti noise, and that more applications are done well in the robot vision.