忆阻细胞神经网络及图像去噪和边缘提取中的应用  

On Memristive Cellular Neural Network and Its Applications in Noise Removal and Edge Extraction

作　　者：高士咏[1] 段书凯[1] 王丽丹[1] 

机构地区：[1]西南大学电子信息工程学院,重庆400715

出　　处：《西南大学学报（自然科学版）》2011年第11期63-70,共8页Journal of Southwest University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(60972155;61101233);重庆市自然科学基金资助项目(CSTC2009BB2305);中央高校基本科研业务费专项(XDJK2010C023);中国博士后科学基金(CPSF20100470116);西南大学博士科研资助项目(SWUB2008074);西南大学教育教学改革研究项目(2009JY053;2010JY070)的资助;重庆市高等教育教学改革研究重点项目(09-2-011)

摘　　要：结合忆阻器的记忆特征和细胞神经网络高效并行处理能力,将忆阻器作为可编程连接权值,提出了一种具有忆阻器特性的细胞神经网络.计算机仿真验证了提出的忆阻细胞神经网络用于图像去噪和边缘提取的有效性.The 4th fundamental circuit element-memristor has received significant attention since a real device was recently demonstrated for the first time.The study on memristors will bring about a revolution in circuit theory and even a change in our lifestyle.The hybrid of the CNN（cellular neural network） scheme and the memristor will greatly expand the applications of the memristor.In this paper,we consider using memristors to implement the neighborhood connections of a CNN base on the memory characteristics of memristors and cellular neural network,which is parallel and highly efficient in data processing.This proposed scheme is a special cellular neural network with the property of the memristor.A series of computer simulations have verified the effectiveness of the proposed scheme in noise removal and edge extraction.

关 键 词：忆阻器 细胞神经网络 图像去噪 边缘提取 

分 类 号：TN957.52[电子电信—信号与信息处理]