Add to ORKGWe propose a Cellular Nonlinear Network (CNN) ruled by reaction-diffusion equations for quality control by artificial visual inspection. We show that, using a specific nonlinearity allows to extract regions of interest in a noisy and weakly contrasted image without any processing time setting. We finally present the electronic realization of an elementary cell of the CNN for a possible electronic integration
A continuous increase in production speed and manufacturing precision raises a demand for the automa...
In this paper, a synthesis method developed in the last few years is applied to derive a cellular no...
The cellular neural network is a locally interconnected neural network capable of high-speed computa...
Abstract — We propose a cellular nonlinear network based on reaction-diffusion equations for image p...
We use the multistable property of a Cellular Nonlinear Network (CNN) to extract the regions of inte...
A Cellular Nonlinear Network (CNN) based on uncoupled nonlinear oscillators is proposed for image pr...
International audienceA cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is...
We have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinear oscillator proper-ti...
International audienceWe have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinea...
International audienceA contour detection based on a diffusive cellular nonlinear network is propose...
In this paper the minimization of a functional defined in the context of biomedical image processing...
: In this paper, we develop a common cellular neural network framework for various adaptive nonline...
Abstract. In this work we consider the model of cellular neural network (CNN) introduced by Chua and...
An important issue in quality assurance is the inspection of rapidly moving surfaces for small defec...
Abstract In this research, we propose cellular neural networks using mixture template as an example ...
A continuous increase in production speed and manufacturing precision raises a demand for the automa...
In this paper, a synthesis method developed in the last few years is applied to derive a cellular no...
The cellular neural network is a locally interconnected neural network capable of high-speed computa...
Abstract — We propose a cellular nonlinear network based on reaction-diffusion equations for image p...
We use the multistable property of a Cellular Nonlinear Network (CNN) to extract the regions of inte...
A Cellular Nonlinear Network (CNN) based on uncoupled nonlinear oscillators is proposed for image pr...
International audienceA cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is...
We have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinear oscillator proper-ti...
International audienceWe have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinea...
International audienceA contour detection based on a diffusive cellular nonlinear network is propose...
In this paper the minimization of a functional defined in the context of biomedical image processing...
: In this paper, we develop a common cellular neural network framework for various adaptive nonline...
Abstract. In this work we consider the model of cellular neural network (CNN) introduced by Chua and...
An important issue in quality assurance is the inspection of rapidly moving surfaces for small defec...
Abstract In this research, we propose cellular neural networks using mixture template as an example ...
A continuous increase in production speed and manufacturing precision raises a demand for the automa...
In this paper, a synthesis method developed in the last few years is applied to derive a cellular no...
The cellular neural network is a locally interconnected neural network capable of high-speed computa...