摘要
本文介绍了一种适合于并行计算机的模型——细胞神经网络，它是神经网络的一种特殊形式，具有神经网络的识别、智能和联想能力．具体介绍了利用细胞神经网络（ＣＮＮ）实现二值图像和灰度图像边缘检测，详细分析了ＣＮＮ设计过程并作改进，引入了模板权值自适应的ＣＮＮ及其设计方法，并给出了仿真结果．
This paper presents Cellular Neural Network (CNN) which is suitable for the parallel computers. The Cellular Neural Network is the special form of the Neural Network and it has the abilities of recognition, intelligence and association. This paper describes the way of using the CNN to realize the edge detection of the 2 value image and the gray scale image. This paper also analyzes the designing procedure in details, brings out the CNN with the adaptive templates and gives out the simulation results.
出处
《上海大学学报（自然科学版）》
CAS
CSCD
1998年第2期175-179,共5页
Journal of Shanghai University:Natural Science Edition
关键词
神经网络
细胞神经网络
图像处理
图像识别
neural network
cellular neural network
image processing
image recognition
