【作者】 李海燕； 周冬明； 徐丹；

【Author】 Li Haiyan Zhou Dongming Xu Dan (Information College,Yunnan Univesity,Kunming 650091,China)

【机构】 云南大学信息学院；

【摘要】 本文根据脉冲耦合神经网络(pulse coupled neural network,PCNN)并行运行的特点,提出了一种基于 PCNN 的灰度图像边缘检测新算法。从理论上对该算法进行了分析和讨论,根据灰度图像的边缘特性及灰度等级分布,将边缘图像映射为 PC- NN 邻域不同时点火的神经元,利用单层 PCNN 网络对256色灰度图像进行一重或二重处理并将边缘进行提取,具有较好的适用性。实验结果表明该方法是有效的。更多还原

【Abstract】 This paper brings forward a new algorithm for gray image edge detection using the Pulse Coupled Neural Network(PCNN)which features parallel running.And the algorithm is analyzed and discussed the- oretically.Grayscale image edge is corresponding to a non-synchronous firing matrix of neurons in neighbor- ing field in PCNN.According to the gray level of the gray image and using the monolayer PCNN,the edges in a 256 colors gray image by doubly or once processed based on the gray scale levels are detected,and the algorithm is applicable.Experiment results show that the method is effective.更多还原