Title :
Linear cellular neural networks
Author :
Lobato-Lopez, F. ; Silva-Martínez, José ; Sanchez-Sinencio, Edgar
Author_Institution :
Mexico Center for Semicond. Technol., Puebla, Mexico
Abstract :
In this paper we introduce a new way of image processing based on CNN but whose activation function is a linear function. This fact enables us to develop gray-scale image processing; here we introduce the mathematical basis and the electrical model. In addition, some examples are presented and the properties of these networks are discussed
Keywords :
cellular neural nets; image segmentation; image texture; activation function; electrical model; gray-scale image processing; linear cellular neural networks; Bayesian methods; Cellular neural networks; Computer vision; Gray-scale; Image processing; Lattices; Low pass filters; Mathematical model; Pattern analysis; Signal processing;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921341
