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MODELING AND RECONSTRUCTING MOTION-CORRUPTED MR imageS WITH applications TO A BEATING HEART

MODELING AND RECONSTRUCTING MOTION-CORRUPTED MR IMAGES WITH ...

引用

conference on image processing - Medical Imaging 1995

作者： SACOLICK, I SMITH, WE UNIV ARIZONA TUCSONAZ 85721

ISBN: (纸本)0819417823

The ill-posed problem of reconstructing an animation from a set of motion-corrupted MR images is investigated. A temporal sampling model has been developed which maps each phase-encoded row of a motion-corrupted MR image to particular frames of an animation. This mapping partially fills the Fourier space of the image frames, and the remaining Fourier space is reconstructed using the projection onto convex sets (POCS) algorithm. We have tested this procedure by reconstructing an animation of a beating heart from a set of simulated motion-corrupted heart images. There is evidence to suggest that this technique may reduce the amount of data required for reconstructing an animation.

关键词： Magnetic resonance imaging Heart Reconstruction algorithms Motion models Solid modeling signal to noise ratio Tellurium Fourier transforms image processing image restoration

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Development of legged robots for use in disordered environments

Development of legged robots for use in disordered environme...

引用

conference on Mobile Robots x

作者： Baudoin, Y Alexandre, P FREE UNIV BRUSSELS SIGNAL IMAGE CTR CELL ROBOTICSROYAL MIL ACADDEPT ROBOTICSB-1040 BRUSSELSBELGIUM FREE UNIV BRUSSELS DEPT ROBOTROYAL MIL ACADSIGNAL IMAGE CTR CELL ROBOTB-1040 BRUSSELSBELGIUM

ISBN: (纸本)0819419559

The SIC/R laboratory is conducting a research program called Autonomy of Mobile Robots in Unstructured Environments (AMRU), focusing on the realization of light low-cost legged robots for indoor and outdoor applications, study of image and speech processing, development of path planners. This paper summarizes the description of the first four robots (AMRU 1 to 4) of the table 1. Low cost allows the sacrifice and the replacement of the robots used in dangerous environmental conditions (minefield, battlefield, nuclear site, etc.) and implies the choice of low level proprioceptive and exteroceptive sensors coupled with a simple digital control system, light structure facilitates their transportation (by air, land or sea) to the application site.

关键词： Robots Gait analysis Photonic integrated circuits Aluminum Cameras Sensors Control systems Ultrasonics Mobile robots Navigation systems

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1000 FPS, 24 BIT HIGH RESOLUTION COLOR MOTION ANALYZER

1000 FPS, 24 BIT HIGH RESOLUTION COLOR MOTION ANALYZER

引用

conference on Cameras and Systems for Electronic Photography and Scientific Imaging

作者： BALCH, KS EASTMAN KODAK CO DIV MOT ANAL SYSTSAN DIEGOCA 92121

ISBN: (纸本)0819417637

Eastman Kodak company Motion Analysis System division has invested many years in developing technology used in our new 24-bit color accurate digital motion analyzer. this paper describes the method for producing accurate 24-bit color at 1000 fps. additionally, applications will be discussed using new tools embedded in our motion analyzer.

关键词： Motion analysis Sensors Imaging systems image processing Video signal processing Camera shutters signal to noise ratio Data storage Motion models

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Fuzzy logic information fusion for object recognition 2

Fuzzy logic information fusion for object recognition

引用

conference on applications of Fuzzy Logic Technology II

作者： CHEN, BH LIN, CF THOMOPOULOS, SCA ORINCON CORP SAN DIEGOCA 92121

ISBN: (纸本)0819418463

Object recognition is often performed in an environment full of uncertainties. Typical factors are the imprecision introduced by the limitations of image processing algorithms, the misinterpretation of the feature vector due to noise or occlusion, and the infinite variability of the object features due to continuous environment change as well as countermeasures. An integrated approach (statistical methods, multisensor fusion, and fuzzy logic) for automatic object recognition if presented in this paper. A fuzzy scene representation is proposed to cope with uncertainties. The features of the object and the background are obtained from both a priori knowledge and the data collected by a multisensor suite and then reconstructed for object recognition. A recognition scheme, based on fuzzy logic, has been developed to merge the information from multiple sources of differing resolution and confidence into a combined assessment of the object identity. It has been found that the fuzzy logic based information fusion architecture provides a platform to accommodate the output of different types of image/signal processing algorithms. In addition, it allows the input of the temporal scene development through an expanded feature vector. Details of the fuzzy scene representation and the recognition process are discussed. Experimental results are presented to show the potential of the approach.

关键词： OBJECT RECOGNITION FUZZY LOGIC FUZZY SCENE REPRESENTATION MULTISENSOR FUSION FEATURE VECTOR image SEGMENTATION

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WaveTool: an integrated software for wavelet and multirate signal processing

WaveTool: an integrated software for wavelet and multirate s...

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IEEE International conference on image processing

作者： H. Singh P.N. Heller Aware Inc. Bedford MA USA Aware Inc. Bedford MA USA

wavelets and multi-rate filter banks are increasingly important tools for various digital image processing (DIP) and image analysis tasks in addition to their traditional applications in one dimensional signal processing. WaveTool, is an integrated software environment for rapid prototyping of wavelet-based algorithms. It is particularly attractive for signal processing because of its rich collection of filter bank choices, online multi-rate filter design, and interactive tree building. This paper presents a general overview of WaveTool with emphasis on its image processing capabilities. Example applications to texture classification, seismic data compression, and image restoration are presented, and the future direction of WaveTool is discussed.

关键词： Filter bank signal processing algorithms Application software Wavelet analysis Digital images Electronics packaging image texture analysis Digital signal processing Software prototyping Software algorithms

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High-order neural networks for image recognition

High-order neural networks for image recognition

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conference on Neural, Morphological, and Stochastic Methods in image and signal processing

作者： UWECHUE, OA PANDYA, AS SZABO, P FLORIDA ATLANTIC UNIV DEPT COMP ENGNBOCA RATONFL 33431

ISBN: (纸本)0819419273

This paper discusses the application of high-order neural networks (HONNs) for image recognition and image enhancement of digitized images. A key property of neural networks is their ability to recognize invariances and extract essential parameters from complex high- dimensional data. The most significant advantage of the HONN over first-order networks is that invariances to geometric transformations can be incorporated into the network and need not be learned through iterative weight updates. A third-order HONN can be used to achieve translation, scale, and rotation invariant recognition with a significant reduction in training time over other neural net paradigms such as the multilayer perceptron. We have developed a model based on a third-order net that can be trained with various images. Simulation results show that the model is able to perform very well with images embedded in noise. It is also shown that this method outperforms the Hamming net. Our model has also been applied to another difficult and computationally-complex problem: human face recognition. We put forth arguments for the use of isodensity information in the recognition algorithm. A method of image recognition that fuses isodensity information and neural networks is described and its merits over other image recognition methods are expounded. It is shown that isodensity information coupled with the use of an 'adaptive threshold' strategy yields a system that is to a high degree unperturbed by image contrast noise. Simulation results for these applications are presented in the paper.

关键词： NEURAL NETWORK HIGH-ORDER INVARIANCE image RECOGNITION ISODENSITY

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Embedded zerotree image coding using low complexity IIR filter banks

Embedded zerotree image coding using low complexity IIR filt...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： C.D. Creusere Weapons Division Naval Air Warfare Center China Lake CA USA

Compares for image coding applications a low-complexity IIR wavelet based on an all-pass polyphase decomposition to a pair of linear phase biorthogonal wavelets. To code the wavelet coefficients, the authors use Shapiro's (1993) zerotree algorithm which has the virtues of being both efficient and delivering excellent performance (in a rate-distortion sense). They consider a variety of methods for eliminating filter transients at the image boundaries including circular convolution, symmetric extension (for the biorthogonal wavelets), and direct transmission (for the IIR wavelet). By also coding the filter states in a zerotree form, they find that direct transmission generally performs better than circular convolution. Finally, they show that the use of this IIR wavelet provides equivalent performance to the biorthogonal wavelets at greatly reduced computational complexity.

关键词： image coding IIR filters Convolution Wavelet coefficients Rate-distortion Computational complexity

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FUZZY ALGORITHMS FOR LEARNING VECTOR QUANTIZATION - GENERALIZATIONS AND ExTENSIONS

FUZZY ALGORITHMS FOR LEARNING VECTOR QUANTIZATION - GENERALI...

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1st International conference on applications and Science of Artificial Neural Networks

作者： KARAYIANNIS, NB PAI, PI UNIV HOUSTON DEPT ELECT & COMP ENGNHOUSTONTX 77204

ISBN: (纸本)0819418455

This paper presents a general methodology for the development of fuzzy algorithms for learning vector quantization (FALVQ). These algorithms can be used to train feature maps to perform pattern clustering through an unsupervised learning process. The development of FALVQ algorithms is based on the minimization of a fuzzy objective function, formed as the weighted sum of the squared Euclidean distances between an input vector, which represents a feature vector, and the weight vectors of the map, which represent the prototypes. This formulation leads to the development of genuinely competitive algorithms, which allow all prototypes to compete for matching each input. The FALVQ 1, FALVQ 2, and FALVQ 3 families of algorithms are developed by selecting admissible generalized membership functions with different properties. The efficiency of the proposed algorithms is illustrated by their use in codebook design required for image compression based on vector quantization.

关键词： Prototyping Algorithm development Quantization Fuzzy logic Information operations image compression image quality Reconstruction algorithms signal processing Machine learning

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High-resolution reconstruction of dynamic PET image sequences using a low-order approximation

High-resolution reconstruction of dynamic PET image sequence...

引用

Optical Engineering Midwest 95 conference

作者： KAO, CM YAP, JT WERNICK, MN UNIV CHICAGO DEPT RADIOLCHICAGOIL 60637

ISBN: (纸本)0819419869

Positron emission tomography (PET) is a medical imaging modality which produces valuable functional information, but is limited by the poor image quality it provides. Considerable attention has been payed to the problem of reconstructing images in a way that produces better image resolution and noise properties. In dynamic imaging applications PET data are particularly noisy, thus preventing successful recovery of spatial resolution by signal processing applications. In this paper we show that smoothing of image data using a low-order approximation along the time axis can greatly enhance restoration performance.

关键词： image RECONSTRUCTION DYNAMIC imageS PROJECTIONS ONTO CONVEx SETS PRINCIPAL COMPONENT ANALYSIS

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Human vision model and wavelets for high-quality image compression

Human vision model and wavelets for high-quality image compr...

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Fifth International conference on image processing and its applications, 1995.

作者： M.G. Albanesi S. Bertoluzza Istituto di Analisi Numerica University of Pavia Italy

We suggest a new solution to the problem of high-quality image compression; a new algorithm for gray-level image compression in the case of wavelet transform is proposed. It is based on the idea of embedding a model of the human visual system directly inside the transform process in the multiresolution analysis. The mathematical aspect is described by Bertoluzza and Albanesi (see Proceedings of conference Mathematical Imaging: Wavelet applications in signal and image processing II, p.39, 1994) and it is briefly reviewed. The coding method used in the compression scheme is described, followed by some examples of the experimental results we have obtained.< >

关键词： Data compression image coding image reconstruction image resolution Visual system Wavelet transforms

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