Results 201 to 210 of about 20,295 (253)
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Image Fusion Using Pulse Coupled Neural Network and CNN
Lecture Notes in Computer Science, 2017Image fusion has been a hotspot in the area of image processing. How to extract and fuse the main and detailed information as accurately as possible from the source images into the single one is the key to resolving the above problem. Convolutional neural network (CNN) has been proved to be an effective tool to cope with many issues of image processing,
Kong Weiwei
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IMPLEMENTATION OF A PULSE COUPLED NEURAL NETWORK IN FPGA
International Journal of Neural Systems, 2000The Pulse Coupled neural network, PCNN, is a biologically inspired neural net and it can be used in various image analysis applications, e.g. time-critical applications in the field of image pre-processing like segmentation, filtering, etc. A VHDL implementation of the PCNN targeting FPGA was undertaken and the results presented here.
Joakim Waldemark +4 more
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Pulse coupled neural network for motion detection
Proceedings of the International Joint Conference on Neural Networks, 2003., 2004This paper presents a pulse coupled neural network that segments moving objects from background. The model is composed of Eckhorn's spike neurons arranged in two parts. Part I is a two layer network that performs local features matching. Part II is one layer of local connected neurons inhibiting false matching.
Bo Yu, Liming Zhang
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Rewiring-Induced Chaos in Pulse-Coupled Neural Networks
Neural Computation, 2012The dependence of the dynamics of pulse-coupled neural networks on random rewiring of excitatory and inhibitory connections is examined. When both excitatory and inhibitory connections are rewired, periodic synchronization emerges with a Hopf-like bifurcation and a subsequent period-doubling bifurcation; chaotic synchronization is also observed.
Takashi Kanamaru, Kazuyuki Aihara
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Pulse-coupled neural networks and parameter optimization methods
Neural Computing and Applications, 2016In this paper, a review of parameter optimization methods of pulse-coupled neural networks (PCNNs) is presented. Considering that PCNN has been used in image processing for many years, the aim of this paper was to provide an overview of the work that has been done and to serve as a useful reference for those who are looking for PCNN parameter ...
Xinzheng Xu +4 more
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2010
The image captured by eyes is transmitted to brain by the optic nerve, and the image signal is transferred in the fiber pathways and finally processed by the primate visual cortex dominantly. The primate visual cortex is devoted to visual processing, and nearly all visual signals reach the cortex via the primary visual cortex. The primary visual cortex
Yide Ma, Kun Zhan, Zhaobin Wang
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The image captured by eyes is transmitted to brain by the optic nerve, and the image signal is transferred in the fiber pathways and finally processed by the primate visual cortex dominantly. The primate visual cortex is devoted to visual processing, and nearly all visual signals reach the cortex via the primary visual cortex. The primary visual cortex
Yide Ma, Kun Zhan, Zhaobin Wang
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Observation of periodic waves in a pulse-coupled neural network
Optics Letters, 1993A pulse-coupled neural network was implemented, for the first time to our knowledge, in a hybrid electro-optical laboratory demonstration system. Dynamic coherent traveling-wave patterns were observed that repeated their spatial patterns at each locality with a period that depended on the local input pattern and strength. Coherence and periodicity were
J L, Johnson, D, Ritter
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Odor detection using pulse coupled neural networks
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003Based on neural structure (not physiology) observed in clinical experiments, an odor image can be constructed for analysis with a cutting-edge image processing procedure termed pulse coupled neural networks factoring (PCNNf). Enhancement of an odor image using PCNNf can significantly increase detection accuracy.
Geza Szekely +3 more
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An improved pulse coupled neural network for image processing
Neural Computing and Applications, 2007To develop new image processing applications for pulse coupled neural network (PCNN), this paper proposes an improved PCNN model by redesigning the linking input, activity strength, linking weight, pulse threshold and pixel update rule. Two typical image processing examples based on such a model, namely fingerprint orientation field estimation and ...
Luping Ji, Zhang Yi 0001, Lifeng Shang
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Object detection using pulse coupled neural networks
IEEE Transactions on Neural Networks, 1999This paper describes an object detection system based on pulse coupled neural networks. The system is designed and implemented to illustrate the power, flexibility and potential the pulse coupled neural networks have in real-time image processing. In the preprocessing stage, a pulse coupled neural network suppresses noise by smoothing the input image ...
Heggere S. Ranganath, G. Kuntimad
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