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Color reduction by using a new self-growing and self-organized neural network

Color reduction by using a new self-growing and self-organiz...

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2nd International Conference on Video, Vision and Graphics, VVG 2005

作者： Atsalakis, A. Papamarkos, N. Image Processing and Multimedia Laboratory Department of Electrical and Computer Engineering Democritus University of Thrace 67100 Xanthi Greece

ISBN: (纸本)9783905673579

A new method for the reduction of the number of colors in a digital image is proposed. The new method is based on the developed of a new neural network classifier that combines the advantages of the Growing Neural Gas (GNG) and the Kohonen Self-Organized Feature Map (SOFM) neural networks. We call the new neural network: Self-Growing and Self-Organized Neural Gas (SGONG). Its main advantage is that it defines the number of the created neurons and their topology in an automatic way. As a consecutive, isolated color classes, which may correspond to significant image details, can be obtained. The SGONG is fed by the color components and additional spatial features. To speed up the entire algorithm and to reduce memory requirements, a fractal scanning sub-sampling technique is used. The method is applicable to any type of color images and it can accommodate any type of color space. © The Eurographics Association 2005.

关键词： Color

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Brain MR image segmentation using tabu search and hidden markov random field model

Brain MR image segmentation using tabu search and hidden mar...

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2nd Indian International Conference on Artificial Intelligence, IICAI 2005

作者： Nanda, P.K. Patra, D. Pradhan, A. Department of Electrical Engineering Image Processing and Computer Vision Laboratory National Institute of Technology Rourkela Orissa 769008 India

ISBN: (纸本)0972741216

In this paper, we propose a hybrid Tabu Expectation Maximization (TEM) Algorithm for segmentation of Brain Magnetic Resonance (MR) images in both supervised and unsupervised framewrok. Gaussian Hidden Markov Random Field (GHMRF) is used to model the available degraded image. In supervised framework, the apriori image MRF model parameters as well as the GHMRF model parameters are assumed to be known. The class labels are estimated using the Maximum a Posteriori (MAP) estimation criterion. In unsupervised framework, the problem of model parameter estimation and label estimation is formulated in Expectation Maximization (EM) framework. The labels are estimated using the proposed Tabu Search algorithm while the model parameters are the maximum likelihood estimates. Our proposed algorithm yields results with arbitrary initial paramater set and thus overcomes the problem of proper choice of initial parameters. The results obtained are comparable with the results obtained by using the algorithm proposed by Zhang ***. [15] , where the Iterated Conditional Mode (ICJM) algorithm is used for computing the MAP estimates. Copyright © IICAI 2005.

关键词： Tabu search

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A time-frequency signal analysis system for power quality assessment

A time-frequency signal analysis system for power quality as...

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2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005

作者： Rivera, Ivan J. Ramirez, Ana B. Rodriguez, Domingo Automated Information Processing Laboratory Electrical and Computer Engineering Department University of Puerto Rico Mayaguez PR 00681-4092

ISBN: (纸本)0780391977

The purpose of this work is to develop a time-frequency signal analysis system to detect and recognize different kinds of power quality events or disturbances. To achieve our goal, design of computational signal processing methods is being addressed developing time-frequency tools based on signal algebra operators. The use of signal algebra operators permits the formulation of time-frequency algorithms in a computational framework setting, allowing the search for efficient hardware implementations. Time-frequency formulations are being implemented for embedded system applications using Digital Signal processing (DSP) and field programmable gate array (FPGA) units. Voltage disturbances are responsible for many disruptions in industrial, commercial and residential power supply systems, causing time and monetary losses. It is necessary to identify fast methods of determining when these disturbances are occurring in order to make correct power quality decisions. Automated information processing systems are needed to assess existing problems. Although a lot of work has been done on power line disturbance assessment, new techniques are desired to address new challenging power quality issues, specially in the area of physical security. Time-frequency signal analysis is a well known tool used in fields such as speech, sonar, and radar processing and is now finding its being in power quality assessment. A time-frequency representation is a two-dimensional representation that shows how the spectral content of a given signal changes with time. There is a genuine interest in this kind of representations for the field of power quality signal analysis systems since they provide more information than the typical one dimensional analysis. To achieve the goals of this work an environment is being created using MATLAB to simulate power line signal disturbances such as swells, sags, harmonic distortions, and outages. This environment computes desired time-frequency representations of

关键词： Signal processing

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SAR image processing algorithms based on the ambiguity function

SAR image processing algorithms based on the ambiguity funct...

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2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005

作者： Ramirez, Ana B. Rivera, Ivan J. Rodriguez, Domingo Automated Information Processing Laboratory Electrical and Computer Engineering Department University of Puerto Rico Mayaguez PR 00681-4092

ISBN: (纸本)0780391977

This work focuses on hardware implementations of the ambiguity function defined in terms of signal operators for Synthetic Aperture Radar (SAR) sensor image formation applications. Due to the large quantity of data associated with SAR imaging, basic SAR operations demand high computational cost and are difficult to readily implement on existing commercial digital signal processing (DSP) units. In order to contribute to resolve this problem a search for new efficient algorithm variants in under way compute operations such as discrete Fourier transforms, discrete convolutions, discrete correlations, and Hadamard products of complex signals. These operations are commonly used in the computation of the discrete ambiguity function. Time-frequency tools have been the object of many different studies in SAR image formation operations. The principle behind SAR image formation is recovering a desired reflectivity density function through an inverse convolution process on the raw data generation. It is this particular fact that makes the ambiguity function so important in SAR image formation since it serves to model the impulse response function or point spread function of the SAR system itself. Algorithms for computing the ambiguity designed for this work are being developed in MATLAB and implemented the TMS320C6713 digital signal processor (DSP) unit. The implementation methodology is based on hardware/software algorithm co-design techniques, taking into consideration software and hardware characteristics such as memory cache overflows, twiddle or phase factor pre-computations, extended memory addressing schemes, stride permutation implementations, pipelining schemes, multiply-add DSP architectures, multiple concurrent memory accessing schemes, and overall latency response. © 2005 IEEE.

关键词： Image processing

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Face recognition through mismatch driven representations of the face

Face recognition through mismatch driven representations of ...

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2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS

作者： Lucey, Simon Chen, Tsuhan Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States

ISBN: (纸本)0780394240

Performance of face verification systems can be adversely affected by a number of different mismatches (e.g. illumination, expression, alignment, etc.) between gallery and probe images. In this paper, we demonstrate that representations of the face used during the verification process should be driven by their sensitivity to these mismatches. Two representation categories of the face are proposed, parts and reflectance, each motivated by their own properties of invariance and sensitivity to different types of mismatches (i.e. spatial and spectral). We additionally demonstrate that the employment of the sum rule gives approximately equivalent performance to more exotic combination strategies based on support vector machine (SVM) classifiers, without the need for training on a tuning set. Improved performance is demonstrated, with a reduction in false reject rate of over 30% when compared to the single representation algorithm. Experiments were conducted on a subset of the challenging Face Recognition Grand Challenge (FRGC) v1.0 dataset. ©2005 IEEE.

关键词： Face recognition

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A computational signal processing system for correlated digital interferometry

A computational signal processing system for correlated digi...

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2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005

作者： Villamizar-Morales, Jorge Bautista-Rozo, Lola X. Rodriguez, Domingo A. Automated Information Processing Laboratory Electrical and Computer Engineering Department University of Puerto Rico at Mayaguez Mayaguez PR 00681-9042

This work deals with the development of a computational signal algebra framework for the modeling and simulation of digital image interferometry processing applications, exploiting the rapid prototyping capabilities o... 详细信息

ISBN: (纸本)0780391977

关键词： Signal processing

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Platform-independent implementation of 3D-sound computer interface icons for subjects with visual impairments

Platform-independent implementation of 3D-sound computer int...

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9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005

作者： Faller II, Kenneth John Prendes, Joaquin Barreto, Armando Digital Signal Processing Laboratory Electrical and Computer Engineering Department Florida International University Miami FL 33174 United States

ISBN: (纸本)9806560531

This paper describes a platform-independent system which adds spatial auditory feedback to the icons of a computer interface in order to assist visually impaired individuals during icon location and selection. In this enhanced system, icons have 3D sound properties, in addition to their graphical properties. Each icon has a specific sound associated with it. As the cursor is moved throughout the interface, the user is able to hear, spatially, in which direction and at what distance each icon is located, with respect to the cursor.

关键词： Human computer interaction

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Using overlapping distributions to deal with face pose mismatch

Using overlapping distributions to deal with face pose misma...

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2005 16th British Machine Vision Conference, BMVC 2005

作者： Lucey, Simon Chen, Tsuhan Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States

ISBN: (纸本)1901725294

Representing the face as a distribution of freely moving patches, which we refer to as a "free-parts" representation, has recently demonstrated some benefit in the task of face verification. This benefit can be largely attributed to the representation's natural ability to deal with local appearance variation within the face. Hitherto, a major limitation that has hindered the wider adoption of this type of facial representation, for the task of face verification, has been its poor ability to take advantage of prior knowledge concerning mismatches in context;such as pose. This paper goes some way to alleviating these limitations by making two novel contributions: (i) Demonstrating that free-parts distributions of a client's face for different poses overlap to such a degree that a considerable amount of discrimination is preserved in the intersection. (ii) Through the off-line estimation of subject-independent pose dependent priors, an alternative to the canonical log-likelihood measure can be employed that takes advantage of this intersection and is less sensitive to mismatch in the presence of pose variation.

关键词： Face recognition

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On design of cluster and grid computing environment toolkit for bioinformatics applications∗ 6th

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6th International Workshop on Distributed Computing, IWDC 2004

作者： Yang, Chao-Tung Kuo, Yu-Lun Li, Kuan-Ching Gaudiot, Jean-Luc High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung40744 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung43301 Taiwan Parallel and Scalable Computer Architecture Laboratory Dept. of Electrical Engineering and Computer Science University of California – Irvine IrvineCA92697 United States

ISBN: (纸本)9783540240761

In this paper, we present BioGrid, a novel computing resource that combines advantages of grid computing technology with bioinformatics parallel applications. The grid environment permits the sharing of a large amount of idle computing resources and data. The investigation of bioinformatics demands orders of magnitude of computing resources and in parallel, the biological data are growing in such a high speed. By using BioGrid, we plan to integrate and share resources and biological data using the grid computing technology. Still in this paper, the well-known FASTA application is performed as matter of testing and analysis in our grid computing platform, as goal to show the improved efficiency and reduced computation time. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Bioinformatics

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Three-dimensional optical remote sensing using optical scanning holography

Three-dimensional optical remote sensing using optical scann...

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Current Research on Image processing for 3D Information Displays

作者： Poon, Ting-Chung Optical Image Processing Laboratory Bradley Department of Electrical and Computer Engineering Virginia Tech. Blacksburg VA 24061 United States

No abstract available

ISBN: (纸本)0819458066

No abstract available

关键词： optical heterodyning depth detection optical scanning holography optical remote sensing optical remote sensing Optical scanning Optical heterodyning Holography Targets

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