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检索条件"机构=Department of Image Processing and NeuroComputing"

共 67 条记录，以下是31-40 订阅

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An emulated digital retina model implementation on FPGA

An emulated digital retina model implementation on FPGA

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Z. Nagy Z. Voroshazi P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary

The purpose of the low-level image processing that takes place in the retina is to compress the relevant visual information to a manageable size. The behavior of the external layers of the biological retina has been successfully modelled by a cellular neural network. In the present paper a specialized emulated digital CNN-UM architecture will be introduced which can be very efficiently used in the retina model calculations. The high performance of the proposed architecture makes it possible to emulate one channel of the model in real-time.

关键词： Retina Field programmable gate arrays Neurons Cellular neural networks Differential equations Delay image processing Biological system modeling Very large scale integration Partial differential equations

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Elastic wave propagation modeling on emulated digital CNN-UM architecture

Elastic wave propagation modeling on emulated digital CNN-UM...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： P. Kozma P. Sonkoly P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Department of Image Processing and Neurocomputing University of Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

The synthetic seismogram has seen many years of widespread and successful application in geophysical prospecting. It is used to simulate the normal incidence reflectivity of a heterogeneous medium and has been employed more recently to obtain the responses of subsurface structural and stratigraphic configurations. The propagation of seismic waves has to be modeled to create synthetic seismograms. The solution of the partial differential equations of motion describing the propagation of stress waves in an elastic medium requires enormous computation power. In this paper a solution of seismic wave propagation will be presented on CNN-UM architecture. Unfortunately the space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analog CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to implement our solution.

关键词： Partial differential equations Computer architecture Cellular neural networks Geophysics computing Seismic waves Stress Analog computers image processing Very large scale integration Numerical models

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Seismic wave propagation modelling on emulated digital CNN-UM architecture

Seismic wave propagation modelling on emulated digital CNN-U...

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作者： Kozma, Péter Nagy, Zoltán Szolgay, Péter Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 H-8200 Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Institute HAS Kende u. 13-17 H-1111 Budapest Hungary

The synthetic seismogram has seen many years of widespread and successful application in geophysical prospecting. It is used to simulate the normal incidence reflectivity of a horizontally stratified medium and has been employed more recently to obtain the responses of subsurface structural and stratigraphie configurations. The solution of the partial differential equations of motion describing the propagation of stress waves in an elastic medium requires enormous computation power. In this paper a solution of seismic wave propagation will be presented on CNN-UM architecture. Unfortunately the space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analog CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to improve the performance of our solution.

关键词： Electromagnetic wave propagation

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Trainable post-processing method to reduce false alarms in the detection of small blotches of archive films

Trainable post-processing method to reduce false alarms in t...

引用

IEEE International Conference on image processing

作者： A. Licsar L. Czuni T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Analogical & Neural Computing Laboratory Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

We have developed a new semi-automatic neural network based method to detect blotches with low false alarm rate on archive films. Blotches can be modeled as temporal intensity discontinuities, hence false detection results originate from object motion (e.g. occlusion), non-rigid objects or erroneous motion estimation. In practice, usually, after the automatic detection step the false alarms are removed manually by an operator, significantly decreasing the efficiency of the restoration process. Our post-processing method classifies each detected blotch by its image features to minimize false results and the necessity of human intervention. The proposed method is tested on real archive sequences.

关键词： Object detection image restoration Motion detection Motion estimation Humans Neural networks Optical films Degradation Costs image motion analysis

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image inpainting methods by using CELLULAR neural networks

Image inpainting methods by using CELLULAR neural networks

引用

9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA

作者： Gacsádi, Alexandra Szolgay, Péter Electronics Department University of Oradea Str. Armatei Române Nr.5 410087 Oradea Romania Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences P.O.B.63 H-1502 Budapest Hungary Image Processing and Neurocomputing Department Veszprém University Egyetem u. 10 Veszprém Hungary

Some CNN methods are presented that can be used for the reconstruction of damaged or partially known images. The proposed methods take the possibility of direct implementation on an existing CNN chip into account, in a single step, by using 3*3 dimensional linear reaction templates. Due to complete parallel processing, computational time reduction is achieved. Efficiency of these methods can be increased by combining them with nonlinear template that ensures the growth of the local properties spreading area along with regional ones.

关键词： Cellular neural networks

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image inpainting methods by using cellular neural networks

Image inpainting methods by using cellular neural networks

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： A. Gacsadi P. Szolgay Electronics Department University of Oradea Oradea Romania Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Image Processing and Neurocomputing Department Veszprem University Veszprem Hungary

关键词： Cellular neural networks image processing image restoration Partial differential equations image reconstruction Parallel processing Concurrent computing Cost function Gray-scale Laboratories

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Multimedia and virtual reality in the rehabilitation of autistic children

Multimedia and virtual reality in the rehabilitation of auti...

引用

9th International Conference on Computers Helping People with Special Needs, ICCHP 2004

作者： Lányi, Cecília Sik Tilinger, Ádám Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 VeszprémH-8200 Hungary

ISBN: (纸本)3540223347

At present autism is beyond recovery, thus the only way that autistic children can adapt themselves to grown-up life is rehabilitation. As the application of computers becomes more and more general in teaching healthy children so does it in teaching children with learning disabilities. Thence a multimedia and virtual reality software package was designed for the rehabilitation of autistic children. This paper presents the developed programs and the results of their usability test. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Patient rehabilitation

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Emulated digital CNN-UM implementation of a barotropic ocean model

Emulated digital CNN-UM implementation of a barotropic ocean...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Z. Nagy P. Szolgay Department of Image Processing and Neurocomputing University of Veszprem Veszprem Hungary

The solution of partial differential equations (PDE) has long been one of the most important fields of mathematics, due to the frequent occurrence of spatio-temporal dynamics in many branches of physics, engineering and other sciences. One of the most exciting area is the simulation of compressible and incompressible fluids which appears in many important applications in aerodynamics, meteorology and oceanography. On the other hand the solution of these equations requires enormous computing power. In this paper a CNN-UM simulation of ocean currents is presented. Unfortunately the non-linearity of the governing equations does not make possible to utilize the huge computing power of the analog CNN-UM chips. To improve the performance of our solution an emulated digital CNN-UM is used where the cell model of the architecture is modified to handle the non-linearity of the model.

关键词： Oceans Aerodynamics Computational modeling Nonlinear equations Partial differential equations Mathematics Fluid dynamics Physics Power engineering and energy Meteorology

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Morphological and wave segmentation by cellular neural networks

Morphological and wave segmentation by cellular neural netwo...

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Seminar on Neural Network Applications in Electrical Engineering

作者： T. Szabo P. Szolgay Neurocomputing and Image Processing Department University of Veszprém Veszprem Hungary Analogical and Neural Computing Laboratory Hungarian Academy of Sciences Hungary

This paper aims to carry out region-based segmentation in medical images. The main goal is to separate regions with the image features of a stroke, and moreover to develop algorithms for a special type of neural netwo... 详细信息

关键词： Cellular neural networks image segmentation Smoothing methods Biomedical imaging Analog computers Computer networks Concurrent computing Neural networks Anatomical structure Gaussian processes

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Hand gesture recognition in camera-projector system

引用

8th European Conference on Computer Vision, ECCV 2004 and International Workshop on Human-Computer Interaction, HCI 2004

作者： Licsár, Attila Szirányi, Tamás University of Veszprém Department of Image Processing and Neurocomputing Egyetem u. 10 VeszprémH-8200 Hungary Analogical and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kendeu. 13-17 BudapestH-1111 Hungary

ISBN: (纸本)3540220127

Our paper proposes a vision-based hand gesture recognition system. It is implemented in a camera-projector system to achieve an augmented reality tool. In this configuration the main problem is that the hand surface reflects the projected background, thus we apply a robust hand segmentation method. Hand localizing is based on a background subtraction method, which adapts to the changes of the projected background. Hand poses are described by a method based on modified Fourier descriptors, which involves distance metric for the nearest neighbor classification. The proposed classification method is compared to other feature extraction methods. We also conducted tests on several users. Finally, the recognition efficiency is improved by the recognition probabilities of the consecutive detected gestures by maximum likelihood approach. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Augmented reality

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