Abstract: In this contribution, we propose the use of Cellular Neural Networks as an application for the image segmentation of cinematographic image sequences. The proposed approach is based on a Cellular Neural network cost function that takes into account motion and colour. Cellular Neural Networks are of particular interest for hardware implementation due to the inherent parallelism and initial results using an FPGA simulator are also presented
International audienceDespite several previous studies, little progress has been made in building su...
The paper presents a software prototype capable of performing image processing applications using ce...
Cellular neural network is an indispensable in the segmentation of an image. Over the last decade, n...
Abstract The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensin...
Based on the cellular neural network (CNN) paradigm, the bio-inspired (bi-i) cellular vision system ...
Abstract The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensin...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
Computationally hard problems, such as operations on n-dimensional maps, are in need of efficient so...
The cellular neural network is a locally interconnected neural network capable of high-speed computa...
In this paper we apply cellular neural networks for color image segmentation. Color aerial photograp...
To computing the correlationcoefficients between two images, this paper proposesan algorithm based o...
Abstract—Image-analysis algorithms are of great interest in the context of object-oriented coding sc...
International audienceNumerous neural network hardware implementations now use digital reconfigurabl...
This paper illustrates a new object-oriented segmentation algorithm based on the cellular neural net...
for image processing on the Field Programmable Gate Array (FPGA) and it’s experiment results are pre...
International audienceDespite several previous studies, little progress has been made in building su...
The paper presents a software prototype capable of performing image processing applications using ce...
Cellular neural network is an indispensable in the segmentation of an image. Over the last decade, n...
Abstract The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensin...
Based on the cellular neural network (CNN) paradigm, the bio-inspired (bi-i) cellular vision system ...
Abstract The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensin...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
Computationally hard problems, such as operations on n-dimensional maps, are in need of efficient so...
The cellular neural network is a locally interconnected neural network capable of high-speed computa...
In this paper we apply cellular neural networks for color image segmentation. Color aerial photograp...
To computing the correlationcoefficients between two images, this paper proposesan algorithm based o...
Abstract—Image-analysis algorithms are of great interest in the context of object-oriented coding sc...
International audienceNumerous neural network hardware implementations now use digital reconfigurabl...
This paper illustrates a new object-oriented segmentation algorithm based on the cellular neural net...
for image processing on the Field Programmable Gate Array (FPGA) and it’s experiment results are pre...
International audienceDespite several previous studies, little progress has been made in building su...
The paper presents a software prototype capable of performing image processing applications using ce...
Cellular neural network is an indispensable in the segmentation of an image. Over the last decade, n...