Add to ORKGTo computing the correlationcoefficients between two images, this paper proposesan algorithm based on the use of cellular neuralnetworks (CNNs), in which most operations(calculations) are achieved by parallel processing.Thus, on the one hand, we can reduce computing time;on the other hand, the computing time will notincrease proportionally with increasing the size of thetemplate images. By integrating the CNN algorithm ona emulated digital CNN-Universal Machineimplemented on FPGA (Field Programmable GateArray) there will be possible to perform some task inreal time in the case of a system developed to assistpeople with visual impairments or in a medicaldiagnosis assistance system, for processing andanalysis of computer tomography images
Convolutional Neural Networks (CNNs) are a particular type of Artificial Neural Networks (ANNs) insp...
Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) ...
Computer Vision is a field where vision sensors capture physical world information,which are then pr...
Abstract. An opto-electronic CNN implementation, as it combines the huge inher-ent computational cap...
for image processing on the Field Programmable Gate Array (FPGA) and it’s experiment results are pre...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...
Abstract—Image-analysis algorithms are of great interest in the context of object-oriented coding sc...
The state of the art work in cellular neural networks (CNN) has concentrated on VLSI implementations...
A new approach for maximum posterior probability (MAP) image restoration based on cellular neural ne...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Abstract: In this contribution, we propose the use of Cellular Neural Networks as an application for...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
In this paper the minimization of a functional defined in the context of biomedical image processing...
Computationally hard problems, such as operations on n-dimensional maps, are in need of efficient so...
The state of the art work in Cellular Neural Networks (CNN) has concentrated on VLSI implementations...
Convolutional Neural Networks (CNNs) are a particular type of Artificial Neural Networks (ANNs) insp...
Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) ...
Computer Vision is a field where vision sensors capture physical world information,which are then pr...
Abstract. An opto-electronic CNN implementation, as it combines the huge inher-ent computational cap...
for image processing on the Field Programmable Gate Array (FPGA) and it’s experiment results are pre...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...
Abstract—Image-analysis algorithms are of great interest in the context of object-oriented coding sc...
The state of the art work in cellular neural networks (CNN) has concentrated on VLSI implementations...
A new approach for maximum posterior probability (MAP) image restoration based on cellular neural ne...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Abstract: In this contribution, we propose the use of Cellular Neural Networks as an application for...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
In this paper the minimization of a functional defined in the context of biomedical image processing...
Computationally hard problems, such as operations on n-dimensional maps, are in need of efficient so...
The state of the art work in Cellular Neural Networks (CNN) has concentrated on VLSI implementations...
Convolutional Neural Networks (CNNs) are a particular type of Artificial Neural Networks (ANNs) insp...
Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) ...
Computer Vision is a field where vision sensors capture physical world information,which are then pr...