In this paper the minimization of a functional defined in the context of biomedical image processing is obtained through a cellular nonlinear network (CNN). The CNN performs noise removal in grey-level biomedical images. The performances of the circuit at behavioural level are shown in a case study concerning retinal images
Abstract—Cellular neural network (CNN) is a large-scale nonlinear analog circuit suitable for real-t...
Image restoration is a process that restores a degraded image to its original or near original form....
In this paper a class of analog algorithms based on the concept of Cellular Neural Network (CNN) is ...
In this paper the minimization of a functional defined in the context of biomedical image processing...
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...
The principal constituents of computational intelligence are fuzzy logic, neural networks and evolut...
Abstract The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensin...
This paper demonstrates how the Cellular Neural Network Universal Machine (CNNUM) architecture can b...
International audienceWe have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinea...
Abstract — We propose a cellular nonlinear network based on reaction-diffusion equations for image p...
To computing the correlationcoefficients between two images, this paper proposesan algorithm based o...
Abstract The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensin...
Abstract — In this study, we research a new layer arrangement of three layer cellular neural network...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
Abstract—Cellular neural network (CNN) is a large-scale nonlinear analog circuit suitable for real-t...
Image restoration is a process that restores a degraded image to its original or near original form....
In this paper a class of analog algorithms based on the concept of Cellular Neural Network (CNN) is ...
In this paper the minimization of a functional defined in the context of biomedical image processing...
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...
The principal constituents of computational intelligence are fuzzy logic, neural networks and evolut...
Abstract The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensin...
This paper demonstrates how the Cellular Neural Network Universal Machine (CNNUM) architecture can b...
International audienceWe have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinea...
Abstract — We propose a cellular nonlinear network based on reaction-diffusion equations for image p...
To computing the correlationcoefficients between two images, this paper proposesan algorithm based o...
Abstract The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensin...
Abstract — In this study, we research a new layer arrangement of three layer cellular neural network...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
Abstract—Cellular neural network (CNN) is a large-scale nonlinear analog circuit suitable for real-t...
Image restoration is a process that restores a degraded image to its original or near original form....
In this paper a class of analog algorithms based on the concept of Cellular Neural Network (CNN) is ...
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