Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications
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Hysteresis cellular neural networks for solving combinatorial optimization problems
- Trang 539-546
Hysteresis cellular neural networks are one of artificial neural networks which
work effectively against large scale problems. In the previous work, remarkable
methods have never been developed to overcome the defects of hysteresis cellular
neural networks. We then propose a novel architecture for combinatorial
optimization problems to overcome them. Experimental results indicate the
efficiency of...
#Hysteresis #Cellular neural networks #Artificial neural networks #Large-scale systems #Limit-cycles #Piecewise linear techniques #Electronic mail #Cellular networks #Computer architecture #Heuristic algorithms
Configurable multi-layer CNN-UM emulator on FPGA
- Trang 164-171
A new emulated digital multi-layer CNN-UM chip architecture called Falcon has
been developed. In this paper the main steps of the FPGA implementation are
introduced. Main results are as follows: CNN-UM architecture emulated on Xilinx
Virtex series FPGA, 3D non-linear spatio-temporal dynamics can be implemented on
this architecture. The critical parameters of the implementation in single layer
conf...
#Field programmable gate arrays #Cellular neural networks #Equations #Computer architecture #Very large scale integration #Signal processing #Analog computers #State feedback #Laboratories #Turing machines
Texture segmentation by the 64/spl times/64 CNN chip
- Trang 547-554
CNN's fast image processing technology helps us to run high-speed filtering
tasks for image enhancement, recognition or segmentation. Texture analysis is a
specific task, since the whole image is processed massively parallel while we
have a limited number of texture-specific filtering and evaluation steps. Former
results of simulations and recognition results of simple CNN chips show that the
CNN ...
#Cellular neural networks #Filtering #Image recognition #Image segmentation #Convolution #Optical filters #Image processing #Image analysis #Gray-scale #Kernel
CNN based central pattern generators with sensory feedback
- Trang 275-282
In this paper the topic of including feedback from sensors in the central
pattern generator (CPG) for a hexapod robot realized through cellular neural
networks (CNNs) is addressed. An approach based on local bifurcation of the CNN
cells constituting the sub-units of the CPG network is introduced, allowing
control of the direction of the robot. Suitable control can be realized by
changing the value...
#Cellular neural networks #Feedback #Neurofeedback #Legged locomotion #Orbital robotics #Neurons #Animal structures #Robot sensing systems #Control systems #Couplings
Obstacle detection in planar worlds using cellular neural networks
- Trang 383-390
Obstacle detection in planar worlds is an important part of computer vision
because it is indispensable for collision prevention of autonomously navigating
moving objects. For example, vehicles driving without human guidance need robust
prediction of potential obstacles, like other vehicles or pedestrians. Most
common approaches of obstacle detection so far have used analytical and
statistical met...
#Cellular neural networks #Navigation #Remotely operated vehicles #Vehicle driving #Robustness #Object detection #Computer vision #Humans #Motion detection #Statistical analysis
Application of analogic CNN algorithms in telemedical neuroradiology
- Trang 579-586
A CNN-based image processing system as a part of a telemedical consulting system
is introduced in this paper. A consulting network for early detection of acute
ischemic stroke is outlined. CT images are processed by analogic CNN algorithms.
#Cellular neural networks #Computed tomography #Biomedical imaging #Gray-scale #Magnetic resonance imaging #Image processing #X-ray imaging #Humans #Pathology #Medical diagnostic imaging
Biometric authentication based on perceptual resonance between CNN emergent patterns and humans
- Trang 267-274
This paper investigates a novel application in biometry of the emergent complex
patterns in cellular neural networks. Using a set of patterns generated in the
"unstable" regime of discrete-time generalized cellular automata (GCA), it was
found that human subjects exposed to these patterns would resonate perceptually
with them in a personal manner which qualifies such a resonance as a biometric
"br...
#Biometrics #Authentication #Resonance #Cellular neural networks #Humans #Biological information theory #Electronic mail #Performance evaluation #Costs #Fingerprint recognition
Watermarking for the authentication of video on CNN-UM
- Trang 78-83
Digital watermarks have been proposed for authentication of both video and still
images. In such applications, the watermark is embedded within a host image such
that subsequent alteration to the watermarked image can be detected with high
probability. In this paper the possibility of implementing real time
watermarking on a video stream is presented. In fact the new CNN-UM
implementation offers t...
#Watermarking #Authentication #Cellular neural networks #Robustness #Digital images #Image sequences #Cryptography #Streaming media #Turing machines #Image processing
Object-oriented image analysis via analogic CNN algorithms. I. Motion estimation
- Trang 172-179
Image analysis algorithms are of great interest in the context of
object-oriented coding schemes. In this paper a new analogic CNN algorithm for
obtaining the motion estimation is illustrated, whereas the companion paper
(Grassi and Grieco, 2002) focuses on the remaining steps of the object-oriented
image analysis stage. Simulation results, carried out for Miss America and
Claire video sequences, ...
#Image motion analysis #Cellular neural networks #Motion estimation #Image sequence analysis #Image segmentation #Object oriented modeling #Video sequences #Labeling #Image coding #Pixel
Fragile watermarking and unkeyed hash function implementation for image authentication on CNN-UM
- Trang 399-406
Image authentication and integrity have become an important issue for multimedia
applications since digital images may be easily modified and perfectly
reproduced. This paper addresses the protection of image authentication and
integrity on CNN-UM. Watermarking and cryptographic hash functions are
techniques used for this protection. We propose two methods using each
technique, spatial domain frag...
#Watermarking #Cryptography #Cellular neural networks #Digital images #Protection #Security #Cameras #Robustness #Message authentication #Production