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检索条件"机构=Computer Science Department and Image Processing Institute"

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Progressive coding of medical volumetric data using three-dimensional integer wavelet packet transform

Progressive coding of medical volumetric data using three-di...

引用

Pacific Medical Technology Symposium

作者： Zixiang Xiong Xiaolin Wu D.Y. Yun W.A. Pearlman Department of Electrical Engineering University of Hawai Honolulu HI USA Department of Computer Science University of Western Ontario London ONT Canada Center for Image Processing Research Rensselaer Polytechnic Institute Troy NY USA

Examines progressive lossy-to-lossless compression of medical volumetric data using 3D integer wavelet packet transforms and set partitioning in hierarchical trees (SPIHT). To achieve good lossy coding performance, we describe a 3D integer wavelet packet transform that allows implicit bit shifting of wavelet coefficients to approximate a 3D unitary transformation. We also address context modeling for efficient entropy coding within the SPIHT framework. Both lossy and lossless coding performances are better than those reported by A. Bilgin et al. (1998).

关键词： Wavelet packets image coding Wavelet transforms Biomedical imaging Medical diagnostic imaging Context modeling Performance loss Quantization computer science image processing

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Anisotropic diffusion as a preprocessing step for efficient image compression

Anisotropic diffusion as a preprocessing step for efficient ...

引用

International Conference on Pattern Recognition

作者： T. Sziranyi I. Kopilovic B.P. Toth Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences Budapest Hungary Department of Image Processing & Neurocomputing University of Veszprem Veszprem Hungary

Anisotropic diffusion is an image enhancement method. It is a nonlinear process which removes noise and irrelevant details while preserving the edges, i.e. it "extracts" the essential visual information. The paper proposes a useful application of anisotropic diffusion in image data compression. We argue that for high compression an anisotropic diffusion preprocessing results in better quality of the decoded image.

关键词： Anisotropic magnetoresistance image coding image processing Transform coding Space heating Equations Laboratories Automation Time of arrival estimation Data mining

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Twin-image removal by digital filtering and optical scanning holography

Twin-image removal by digital filtering and optical scanning...

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Southeastern Symposium on System Theory

作者： Taegeun Kim Ting-Chung Poon G. Indebetouw Optical Image Processing Laboratory Bradely Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA Physics Department Virginia Polytechnic Institute and State University Blacksburg VA USA

We propose an adjusted digital filtering method to overcome the Nyquist limitation of the iterative algorithm used to eliminate the twin image and demonstrate its advantages over existing algorithms. We also have appl... 详细信息

关键词： Optical filters Holographic optical components Digital filters Filtering Holography image reconstruction Bandwidth Optical noise Optical recording Convolution

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An empirical study on identifying fault-prone module in large switching system

An empirical study on identifying fault-prone module in larg...

引用

International Conference on Information Networking

作者： SungBack Hong Kapsu Kim ISDN Call Processing Section Electronics and Telecommunications Research Institute South Korea Department of Computer Science Seokyeong University South Korea

ISBN: (纸本)0818672250

Software complexity metrics have been shown to be very closely related to the distribution of faults in software. This paper focuses on identification of fault-prone software modules based on discriminant analysis and classification for software that are developed by CHILL language. We define software complexity metrics for CHILL language. The technique is successful in classifying software modules with relatively low error rare. This procedure shows very useful method in the detection of software modules in the fault of programs with high potential.

关键词： Fault diagnosis Switching systems Electrical capacitance tomography Software reliability Software measurement Software quality Programming Software metrics ISDN computer science

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image compression by orthogonal decomposition and dynamic segmentation using cellular nonlinear network chips

Image compression by orthogonal decomposition and dynamic se...

引用

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

作者： T. Sziranyi L. Czuni I. Kopilovic T. Gyimesi Analogical and Neural Computing Laboratory Hungarian Academy of Sciences Computer and Automation Institute Budapest Hungary Department of Image Processing 8z Neurocomputing University of Veszprém Veszprem Hungary

A method is shown using the CNN chip-set hardware architecture for the implementation of a high-speed, low bit-rate image coding system. A simple and fast algorithm is introduced to generate basis functions of 2 dimensional (2D) orthogonal transformations. Using the 2D basis functions of the Hadamard or Cosine functions, the transformation coefficients of the basic block of the image are measured by the CNN. Meanwhile, the CNN can produce the inverse transformation of the measured coefficients and the actual distortion-rate can be computed. If a required distortion-rate is reached, the coding process could be stopped (the use of even more coefficients would increase bit-rate needlessly). Effects of noise and VLSI computing accuracy are also considered to optimise the architecture. We also give a short description of how to join the transform coding method and the object-oriented image model.

关键词： image coding image segmentation Discrete cosine transforms Cellular neural networks Object oriented modeling Optimization methods computer networks Distortion measurement Nonlinear distortion Very large scale integration

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Technical issues in multimodality medical image registration

Technical issues in multimodality medical image registration

引用

Annual IEEE Symposium on computer-Based Medical Systems

作者： M.H. Loew C.E. Rodriguez-Carranza Institute for Medical Imaging and Image Analysis Department of Electrical Engineering and Computer Science George Washington University Washington D.C. DC USA

Two one-day workshops were held in 1997 that brought together a group of 38 experts from nine countries to address several aspects of the issues surrounding multimodality medical image registration. The first workshop produced an agenda that defined the significant problems and assigned them to subgroups for study. The second reviewed the results, limited the scope of the problem and proposed an action plan that focused initially on the development of standard data sets. This paper discusses the nature of the problem (why it's interesting and why it's difficult) and the consensus plan that is emerging.

关键词： Biomedical imaging image registration Medical treatment Diseases Neoplasms Medical diagnostic imaging image analysis Standards development Path planning Land use planning

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Automated registration of CT and MR brain images using 3-D edge detection

Automated registration of CT and MR brain images using 3-D e...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Li-Yueh Hsu M.H. Loew Institute for Medical Imaging and Image Analysis Department of Electrical Engineering and Computer Science George Washington University Washington D.C. DC USA

Presents work on automatic inter-modality image registration based on the extraction of the most well-known image feature-edges. While many of the current techniques use the corresponding surface feature (skin surface and brain surface in particular) for image registration, an edge feature can include ail of those surfaces as well as certain tissue structures. The edge feature may provide as well the simplicity and possibility for surface and contour information to be further constructed. In contrast to most of the modern surface registration algorithms which rely on either manual or automatic segmentation of the corresponding surface, the authors' 3-D edge registration algorithm requires no further segmentation for the registration of CT and MR brain images. The registration accuracy is evaluated through a fiducial "gold-standard" on 6 pairs of CT and MR (T1, T2, and PD) images. The preliminary results are comparable to those obtained by other registration techniques.

关键词： Computed tomography Brain image edge detection image registration Data mining Skin Biomedical imaging image segmentation Magnetic resonance imaging USA Councils

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Depth from physics: physics-based image analysis and feature definition

Depth from physics: physics-based image analysis and feature...

引用

International Conference on Pattern Recognition

作者： D. Hattery M. Loew Institute for Medical Imaging and Image Analysis Department of Electrical Engineering and Computer Science George Washington University Washington D.C. DC USA

Blood vessels overlying one another at distinct depths (and hence appearing to intersect) in the conjunctiva of the eye can be distinguished reliably from those that in fact do branch within the same depth, using only the information contained in a single photograph of the conjunctiva. That conclusion arises from extension of earlier work that qualitatively inferred relative depth of vessels. The current research was motivated by the need to quantify such inferences in terms of their sensitivities and robustness. Features extracted from an image are shown to be useful in that effort; their utility is verified with phantoms that mimic the behavior of the conjunctiva and the backing sclera. Because no special preparations are needed, the method works as well on archived images as on newly-acquired ones, and thus can be used in retrospective studies of images of the eye and other diffuse media.

关键词： Physics image analysis Biomembranes Mie scattering Light scattering Particle scattering Read only memory Diseases Lighting Biomedical imaging

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Identifying fault prone modules: an empirical study in telecommunication system

Identifying fault prone modules: an empirical study in telec...

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(CSMR) European Conference on Software Maintenance and Reengineering

作者： Kapsu Kim SungBack Hong ISDN Call Processing Section Electronics and Telecommunications Research Institute Daejeon South Korea Department of Computer Science & Statistics Seokyeong University South Korea

ISBN: (纸本)0818684216

Telecommunication systems are becoming more dependent on software-intensive products and systems. Poor software quality can threaten safety, risk a company's business, or alienate potential customers. It is no longer acceptable to ignore software quality until just prior to a product's release. This study identifies troublesome modules in a large telecommunication system. For this, we propose the software metrics of the CHILL language, which are used to develop the telecommunication software. We present the identification method of fault-prone software modules of telecommunication software using neural networks. We investigate the relationship between the proposed metrics and the change request frequency of software modules which are found during the development phase. Using the neural network model, we classify software modules as either fault prone or not fault prone based on the proposed metrics. We obtained the experimental results that the total fitting rate of 52 testing data sets was 96.2%. Therefore, for newly added software modules, we can predict whether the software module is fault prone or not.

关键词： Fault diagnosis Neural networks Software reliability Data analysis Performance analysis Software quality Software metrics Testing Software systems Covariance matrix

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On the chip implementation of analogic algorithms for optical detection of some layout errors of printed circuit boards

On the chip implementation of analogic algorithms for optica...

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

作者： K. Tomordi P. Foldesy P. Szolgay Analogic and Neural Computing Systems Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Image Processing and Neurocomputing Department Faculty of Engineering University of Veszprém Veszprem Hungary

Printed circuit board layout inspection methods are mostly based on local geometric information, therefore they are well suited to the cellular neural networks (CNN) paradigm. The wire break, the wire and isolation width violation and an "H" type short circuits detector analogic algorithms were tested on a 20*22 CNN Universal Machine (CNNUM) chip working in the CNN Chip Prototyping System (CCPS) and on the CNN Engine Board (CNNEB), and the results were compared to the commercially available inspection systems.

关键词： Cellular neural networks Inspection Wire Circuit testing Geometrical optics Optical computing Printed circuits Detectors System testing Turing machines

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