Analysis of Dynamic Behaviors of Improved Pulse Coupled Neural Network in Image Processing
改进型脉冲耦合神经网络在图像处理中的动态行为分析

In order to further exploit the application depth of pulse coupled neural network (PCNN) in image processing, combined with network parameters,dynamic behaviors of an improved PCNN are analyzed theoretically and deduced by formula in detail.The influence of parameters' change on dynamic behaviors is proved,and the rule of parameters determi- nation is proposed under the condition guaranteeing each neuron only fires once.Finally,the experiments implemented on the practical image segmentation indicate that the relationship between dynamic behaviors and parameters determination is accurate and the algorithm is effective.