Title :
Output characteristics of cellular neural networks using mixture template
Author :
Inoue, Takashi ; Nakano, Masaru ; Nishio, Yoshifumi
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima
Abstract :
In this research, we propose cellular neural networks using mixture template as an example of space-varying cellular neural networks. As the first step of the investigation of such complex nonlinear circuit networks, we propose two mixing methods of the templates and investigate the output characteristics of the simple image processing with a binary image and a grayscale image by computer simulations.
Keywords :
cellular neural nets; image processing; nonlinear equations; binary image; computer simulations; grayscale image; image processing; mixture template; nonlinear circuit networks; space-varying cellular neural networks; Animal structures; Cellular neural networks; Circuit simulation; Computational modeling; Computer simulation; Gray-scale; Image processing; Neural networks; Nonlinear circuits; Nonlinear equations;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4634392
