Summary
2007 International Symposium on Nonlinear Theory and its Applications
2007
Session Number:17PM2-B
Session:
Number:17PM2-B-2
A Method of Edge Detection Using SmallWorld Cellular Neural Network
Masaru Nakano, Yoshifumi Nishio,
pp.71-74
Publication Date:2007/9/16
Online ISSN:2188-5079
DOI:10.34385/proc.41.17PM2-B-2
Summary:
A few years ago, Tsuruta et al. have proposed Small World Cellular Neural Networks (SWCNN). SWCNN is the system that shortcut connections are introduced into the original CNN and can be applied to some image processing tasks. We have investigated the performance of the SWCNN by changing the structure of the network keeping the number of all branches same and have clari?ed that the SWCNN can realize edge detection of gray scale images. In this article, we propose a new SWCNN system for better edge detection of gray scale images.