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Colour space transformation and exact colour reproduction with CNN technology

Colour space transformation and exact colour reproduction wi...

引用

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

作者： P. Kozma B. Kranicz P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary

Nowadays many problems requiring huge computing power have risen. Although the performance of digital processors doubles every year, there are certain tasks where the computation cannot be carried out within a reasonable time interval. Such hard problems are the analysis of big dynamical systems or real-time exact colour reproduction. The exact colour visualization of motion pictures is necessary in industrial, medical and scientific research areas. Thus, for example, exact colour reproduction is required for remote medical diagnosis or remote operation. The doctor has to see the same image that appears in reality. Device dependent colour appearance may cause faulty decisions. Nowadays these problems cannot be solved perfectly because many steps of the transformation are not completely known and the huge number of computations cannot be done in real-time even by the fastest PC. In this article we describe some methods to produce exact colours in a remote medical diagnostic system.

关键词： Space technology Cellular neural networks image processing Medical diagnosis Computer architecture Magnetic resonance imaging Real time systems Application software Analog computers Hardware

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Colour space transformation, colour correction and exact colour reproduction with CNN technology

Colour space transformation, colour correction and exact col...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： N. Kozma B. Kranicz P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprém Hungary

Nowadays many problems requiring huge computing power have arisen. Although the performance of digital processors doubles every year, there are certain tasks where the computation cannot be carried out within a reasonable time interval. Such hard problems are the analysis of big dynamical systems or real-time exact colour reproduction. The exact colour visualization of motion pictures is necessary in industrial, medical and scientific research areas. Thus, for example, exact colour reproduction is required for remote medical diagnosis or remote operation. The doctor has to see the same image that appears in reality. Device dependent colour appearance may cause faulty decisions. Nowadays these problems cannot be solved perfectly because many steps of the transformation are not completely known and the huge number of computations cannot be done in real-time even by the fastest PC. In this article we describe some methods to produce exact colours in a remote medical diagnostic system.

关键词： Color Space technology Cellular neural networks Medical diagnosis Magnetic resonance imaging image processing Real time systems Motion pictures Biomedical imaging Medical diagnostic imaging

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Creating animations combining stochastic paintbrush transformation and motion detection

Creating animations combining stochastic paintbrush transfor...

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International Conference on Pattern Recognition

作者： L. Kovacs T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Hungary Analogical Computing Laboratory Computer & Automation Inst Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

In this paper we propose a method for creating animation and animation-like video sequences from any ordinary video recorded by any means available. The method is based on paintbrush transformation, developed and patented by our department, and on different motion detection algorithms. One of the goals of the method is to obtain animations, cartoon-like outputs from a usual camera-recorded image sequence. The method inherits properties of the paintbrush transformation method like well-defined contours, acceptable distortion, and a painting-like view with no fine details below a limit. The resulting output is a series of video frames stored as brush-strokes and motion data between the frames, compressed for size reduction. This output can be converted to any available video format by decompression, frame-reconstruction and recompression.

关键词： Animation Stochastic processes Motion detection Painting Video compression image coding image sequences image processing Laboratories Automation

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Content-based image retrieval using stochastic paintbrush transformation

Content-based image retrieval using stochastic paintbrush tr...

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IEEE International Conference on image processing

作者： Z. Kato Ji Xiaowen T. Sziranyi Z. Toth L. Czuni National University of Singapore School of Computing Singapore Image Processing and Neurocomputing Dept. Veszprem University Veszprem Hungary School of Computing National University of Singapore Singapore

We propose a new content based image retrieval method. The novelty of our approach lies in the applied image similarity measure: unlike traditional features, such as color, texture or shape, our measure is based on a painted representation of the original image. We use paintbrush stroke parameters as features. These strokes are produced by a stochastic paintbrush algorithm which simulates a painting process. Stroke parameters include color, orientation and location. Therefore, it provides information not only about the color content but also about the structural properties of an image. Experimental results on a database of more than 500 images show that the CBIR method using paintbrush features has a higher retrieval rate than methods using color features only.

关键词： image retrieval Content based retrieval Stochastic processes Painting Humans Shape measurement Information retrieval Histograms image databases Spatial databases

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Creating animations combining stochastic Paintbrush Transformation and motion detection

Creating animations combining stochastic Paintbrush Transfor...

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作者： Kovács, Levente Szirányi, Tamás University of Veszprém Department of Image Processing and Neurocomputing Egyetem u. 10 H-8200 Veszprém Hungary Analogical Computing Laboratory Comp. and Automation Inst. Hungarian Academy of Sci. Kende u. 13-17 H-1111 Budapest Hungary

In this paper we propose a method for creating animation and animation-like video sequences from about any ordinary video recorded by any means available. The method is based on the Paintbrush Transformation earlier invented, developed and patented by our Department [7], and on different motion detection algorithms [3,4,5]. One of the goals of the method is to obtain animations, cartoon-like outputs from a usual camera-recorded image sequence. The method inherits the properties of the paintbrush transformation method like well-defined contours, acceptable distortion, a painting-like view with no fine details below a limit. The resulting output is a series of video frames stored as brush-strokes and motion data between the frames, compressed for size reduction. This output can be converted to any available video format by decompression, frame-reconstruction and recompression. © 2002 IEEE.

关键词： Animation

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Supervised training based hand gesture recognition system

Supervised training based hand gesture recognition system

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

We have developed a hand gesture recognition system, based on the shape analysis of static gestures, for Human Computer Interaction purposes. Our appearance-based recognition uses modified Fourier descriptors for the classification, of hand shapes. As always found in literature, such recognition systems consist of two phases: training and recognition. In our new practical approach, following the chosen appearance-based model, training and recognition is done in an interactive supervised way: the adaptation for untrained gestures is also solved by hand signals. Our experimental results with three different users are reported. In this paper, besides describing the recognition itself, we demonstrate our interactive training method in a practical application. © 2002 IEEE.

关键词： Gesture recognition

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Supervised training based hand gesture recognition system

Supervised training based hand gesture recognition system

引用

International Conference on Pattern Recognition

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

We have developed a hand gesture recognition system, based on the shape analysis of static gestures, for human computer interaction purposes. Our appearance-based recognition uses modified Fourier descriptors for the classification of hand shapes. As always found in literature, such recognition systems consist of two phases: training and recognition. In our new practical approach, following the chosen appearance-based model, training and recognition is done in an interactive supervised way: the adaptation for untrained gestures is also solved by hand signals. Our experimental results with three different users are reported. Besides describing the recognition itself we demonstrate our interactive training method in a practical application.

关键词： Shape Character recognition image processing Laboratories Automation Human computer interaction Application software Control systems Virtual environment Cameras

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Application of analogic CNN algorithms in telemedical neuroradiology

Application of analogic CNN algorithms in telemedical neuror...

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

作者： T. Szabo P. Barsi P. Szolgay Image Processing and Neurocomputing Department University of Veszprém Veszprém Hungary Depanmeni of Radiology Naiional Insiiiuie of Neurology and Psychiairy Budapest Hungary Department of Radiology National Institute of Neurology and Psychiatry Budapest Hungary Analogical and Neural Computing Laboratory Hungarian Academy of Sciences Budapest Hungary

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 a... 详细信息

关键词： Cellular neural networks Computed tomography Biomedical imaging Gray-scale Magnetic resonance imaging image processing X-ray imaging Humans Pathology Medical diagnostic imaging

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An analogic CNN algorithm for following continuously moving objects

An analogic CNN algorithm for following continuously moving ...

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

作者： A. Gacsadi P. Szolgay University of Oradea Oradea Romania Image Processing and Neurocomputing Depariment University of Veszprérn Budapest Hungary Image Processing and Neurocomputing Depariment University of Veszprérn Hungary

A potential application of cellular neural networks (CNN) in adaptive control of a robot based on visual information is considered. The high processing speed of the network is used to provide real time processing. In this contribution an analogic CNN algorithm for following a moving object is shown. The algorithm was tested with the CNN infrastructure (CADETWin and CCPS).

关键词： Cellular neural networks Robot kinematics Robot sensing systems Robot vision systems Cameras Sensor systems Service robots image sensors Servomechanisms Pixel

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Random paintbrush transformation

Random paintbrush transformation

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International Conference on Pattern Recognition

作者： T. Sziranyi Z. Toth Analogical computing Laboratory Computer & Automation Inst Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary

ISBN: (纸本)0769507506

A paintbrush-like image transformation is proposed. It is based on a random searching to insert brush-strokes into a generated image at decreasing scale of brush-sizes, without predefined models or interaction. One of the goals of the method is to transform the image into a representation that is very similar to the human sensation of artistic images. We introduce a sequential multiscale image decomposition method, based on simulated rectangular-shaped paintbrush strokes. The resulting images look like good-quality paintings with well-defined contours, at an acceptable distortion compared to the original image. The image can be described with the parameters of the consecutive paintbrush strokes, resulting in a parameter-series that can be used for compression. The painting process can be used for scale-space image representation, segmentation and contour detection, and image representation for retrieval purposes.

关键词： Painting Humans image coding Layout image representation Fractals Laboratories Automation image generation image decomposition

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