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检索条件"机构=Analogic and Neural Computing Laboratory Computer and Automation Research Institute"

共 97 条记录，以下是21-30 订阅

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Noise estimation and measures for detection of clustered microcalcifications 16th

Noise estimation and measures for detection of clustered mic...

引用

16th International conference on Information Processing in Medical Imaging, IPMI 1999

作者： Csapodi, Márton Petrányi, Ágota Liszka, György Zarándy, Ákos Roska, Tammás Analogic and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences P.O.B.63 BudapestH-1502 Hungary Department of Diagnostic Radiology National Institute of Oncology Kekgolyou. 13 BudapestH-1126 Hungary

ISBN: (纸本)3540661670

Image transforms used to preprocess mammogram images and highly selective microcalcification feature extraction are analyzed in this paper. It is demonstrated that the results obtained by the proposed method (especially at high true positive rates) exceed the specificity levels of other measures for which FROC analysis is provided using the same public (Nijmegen) database. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Mammography

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Distance preserving 1D Turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection)

Distance preserving 1D Turing-wave models via CNN, implement...

引用

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

作者： G. Toth P. Foldesy T. Roska Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

In this paper a cellular neural network (CNN) implementation of a reaction-diffusion system is described, which produces distance preserving periodic Turing patterns. The CNN with complex-valued templates are introduced, presenting an application for pattern generation. Finally a method for black-and-white pattern detection is described.

关键词： Cellular neural networks Equations Skin Marine animals Laboratories automation Physics Chemistry Biological system modeling Inhibitors

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Adaptive histogram equalization with cellular neural networks

Adaptive histogram equalization with cellular neural network...

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

作者： M. Csapodi T. Roska Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

Adaptive histogram equalization (AHE), a method of contrast enhancement which is sensitive to local spatial information in image, has demonstrated its effectiveness in many applications. However, this technique is computationally intensive. In this paper we present two computational methods designed to fit well onto the locally interconnected array computer architecture of cellular neural networks (CNNs). CNNs are well known for their image processing capabilities, specially for grey-scale medical images and images of a natural scene. In many applications it would be very useful if the operation of a template or a complex analogic algorithm were highly illumination independent. Our results suggest that we can achieve this goal by using the AHE method in a pre-processing step.

关键词： Histograms Adaptive equalizers Cellular neural networks Application software Adaptive systems computer networks Design methodology computer architecture Image processing Biomedical imaging

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CNN based color constancy algorithm

CNN based color constancy algorithm

引用

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

作者： L. Torok A. Zarandy Computer and Automation Reseaxh Institute Analogic and Neural Computing Laboratory Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

ISBN: (纸本)981238121X

Color constancy (CC) is a perceptional phenomena in which living species, capable of color vision, perceive object color apart from the spectral distribution of light applied to illuminate the objects. The algorithm that can recover objects' original color and display them as if they were illuminated by spectrally even (white) light is called the CC algorithm. In contrast to other solutions our approach offers on-line possibilities in applications as its operation needs consist of mainly local interactions that are well suited to the architecture of cellular neural/non-linear networks (CNN). In a recent paper, we offered a brief survey of common CC approaches, introduced the principles of our CC algorithm, compared ACE4K on-chip results versus simulation, examined the robustness of our algorithm and outlined a newly developed setup for reliable color image recording.

关键词： Cellular neural networks Lighting Robustness Color Semiconductor device modeling Humans computer vision Distributed computing Cellular networks Layout

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The computational infrastructure for cellular visual microprocessors

The computational infrastructure for cellular visual micropr...

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Proceedings of the International Conference on Microelectronics for neural, Fuzzy and Bio-Inspired Systems, MicroNeuro

作者： P. Szolgay A. Zarandy S. Zold T. Roska P. Foldesy L. Kek T. Kozek K. Laszlo I. Petras Cs. Rekeczky I. Szatmari D. Balya Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

A new computational paradigm is emerging for spatio-temporal problems: analogic CNN array-computing. The elementary instructions and programming techniques, however, are drastically different from any other computers. These elementary instructions represent complex, spatio-temporal, nonlinear, dynamic phenomena including all the standard and exotic properties of simple image processing operators as well as waves, patterns, and "evolving systems". Meanwhile, a computational infrastructure has also emerged interfacing this revolutionary computing technology to digital systems as well as enabling the development of high-level software. The main goal was to provide easy-to-use tools and hardware interfacing elements, and to put most of the sophistication in the chips and chip sets.

关键词： Microprocessors Cellular neural networks Prototypes computer aided instruction Image processing Digital systems Hardware Turing machines Embedded computing CMOS technology

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analogic Implementation of the Genetic Algorithm

Analogic Implementation of the Genetic Algorithm

引用

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

作者： David Balya Viktor Gal Analogic and Neural Computing Systems Lab Computer and Automation Research Institute Budapest Hungary Function of Neural Circuits Laboratory Friedrich Miescher Institute for Biomedical Research Basel Switzerland

The CNN literature contains several papers about how to use the genetic algorithms for template tuning. This paper shows a possible CNN-UM implementation of the control algorithm of the genetic algorithm in a special fine-grained parallel version. The interesting of the analogic mapping is the different set of operators, which can be evaluated fast and efficient on the CNN-UM platform. The rational behind the spatial implementation is the possibility of focal-plane optimization

关键词： Genetic algorithms Biological cells Cellular neural networks Biomedical computing computer networks Evolution (biology) Algorithm design and analysis Genetic mutations Application software Application specific integrated circuits

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An emulated digital architecture implementing the CNN Universal Machine

An emulated digital architecture implementing the CNN Univer...

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

作者： A. Zarandy P. Keresztes T. Roska P. Szolgay Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

An emulated digital VLSI CMOS architecture is described, where the main features are as follows: (i) variable accuracy, (ii) a complete CNN Universal Machine on the silicon, (iii) a good area time trade off. The whole architecture was defined on VHDL and the following key parameters of the implementation were computed namely, (i) the speed (1 ns/virtual cell/iteration), (ii) the number of the physical processing cells per cm/sup 2/ is 24 by using 0.35 /spl mu/m three metal layer CMOS technology.

关键词： Cellular neural networks Turing machines computer architecture CMOS technology Physics computing Digital signal processing Logic Very large scale integration CMOS process Silicon

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Neuromorphic algorithm for retinal implants

Neuromorphic algorithm for retinal implants

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International IEEE/EMBS Conference on neural Engineering, CNE

作者： D. Balya B. Roska Analogic and Neural Computing Laboratory Computer and Automation Research Institute Budapest Hungary Harvard Society of Fellows Harvard University Cambridge MA USA

The paper focuses on the input transformation for retinal implants. It describes a novel retina model, based on neurobiological measurements. Our modeling approach is neuromorphic, however the primary motivation is to derive an algorithmic skeleton from the animal retina measurements. The on-line, real-time implementation of the algorithm is given for an off-the-shelf stand-alone system, called Bi-I

关键词： Neuromorphics Retina Cochlear implants Optical transmitters Neurons Ear Biomedical acoustics Image restoration Signal restoration Stimulated emission

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Feature guided visual attention with topographic array processing and neural network-based classification

Feature guided visual attention with topographic array proce...

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International Joint Conference on neural Networks (IJCNN)

作者： G. Timar D. Balya I. Szatmari C. Rekeczky Analogical & Neural Computing Laboratory Computer and Automation Research Institute Budapest Hungary

Biological systems are constantly engulfed in sensory input that must be processed. Attention has evolved to cut down on the magnitude of the input and enable the agent to analyze the most important parts of the information. This is especially true for the visual system where the appropriate field of view and scale must be determined. Our system receives a video flow with considerably higher resolution than the resolution of the cellular neural net based visual microprocessor that computes the topographic features of the input. This process requires a dynamic positioning of the processing window in the video flow. We have developed a fast attention and selection algorithm that allows the system to choose the field of view and scale (zoom) level for the next frame based on the features computed from the current frame and the output of the ART or NNC-based classifiers. The algorithmic framework and hardware architecture of the system are presented along with experimental chip results for several video flows recorded in flying vehicles.

关键词： Array signal processing neural networks Biological systems Information analysis Visual system Cellular neural networks Microprocessors Vehicle dynamics Subspace constraints Hardware

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Detecting global spatial-temporal events: saccadic suppression

Detecting global spatial-temporal events: saccadic suppressi...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： D. Balya Analogical & Neural Computing Laboratory Computer and Automation Research Institute Budapest Hungary

You may think that while are watching a schema, your eyes move smoothly and continuously to investigate the circuitry, but that is not the case. Your eyes fixate on a part of the circuit hold for a moment then suddenly jump to a new position where a particular visual detail attracts your eyes. During this jump or saccade the eyes move rapidly and we hardly notice that, relative to our eye position, the entire visual world globally shifts. Vision is in some sense turned off during saccades, which is called saccadic suppression. This paper presents a neuromorphic algorithm to detect these spatial-temporal events from the input flow. The algorithm of the saccadic suppression event detection is implemented on the standard cellular nonlinear network universal machine environment. The processing time is roughly one millisecond on the ACE4k CNN-UM chip in the Aladdin environment, and therefore it can serve as a common function in any real-time spatial-temporal algorithm. The saccadic suppression event detector can be used in different areas such as video shot detection or to define the instant when the time-dependent part of the algorithm, e.g. homotopy, has to be initialized.

关键词： Event detection Eyes Change detection algorithms Lighting Retina Circuits Gunshot detection systems Layout Cameras Switches

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