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23rd Southeastern Symposium on System Theory, SSST 1991

作者： Ray, S. Zhu, J. Electrical and Computer Engineering Louisiana State University Baton RougeLA United States Remote Sensing and Image Processing Laboratory Louisiana State University Baton RougeLA United States

ISBN: (纸本)0818621907

In this paper the well-known Markus-Yamabe example [1] is revisited in a more general setting and in light of the Floquet Characteristic Exponent Theory which leads to some interesting and enlightening results. These results provide deeper insight into and better understanding of the concept of frozen-time eigenvalues and Floquet Characteristic Exponents. They are also useful in the robustness analysis for linear time-invariant systems, since the nominal eigenvalues in that case are the frozen-time eigenvalues of the perturbed systems used is such analysis. © 1991 IEEE.

关键词： Linear time-invariant system

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A path metric for sequential search and its application in edge linking

A path metric for sequential search and its application in e...

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IEEE International Conference on Systems, Man and Cybernetics

作者： A.A. Farag E.J. Delp Engineering Mathematics & Computer Science Department Speed Scientific School University of Louisville Louisville KY USA Computer Vision & Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

The authors develop a path metric for sequential search based on the linear model. The metric forms the heart of an edge-linking algorithm that combines edge elements enhanced by an optimal filter. From a starting node, transitions are made to the goal nodes by a maximum likelihood metric. This metric requires only local calculations on the search space and its use in edge linking provides more accurate results than other linking techniques.< >

关键词： Joining processes image edge detection Filters Application software Heart Layout Decoding Mathematics computer science computer vision

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A NOVEL NONLINEAR FILTER FOR image-ENHANCEMENT 2

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CONF ON image processing ALGORITHMS AND TECHNIQUES

作者： YU, TH MITRA, SK KAISER, JF Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara 93106 CA United States Bell Communications Research Inc. Room 2A-281 445 South Street Morristown 07962-1910 NJ United States

ISBN: (纸本)0819405515

Recently, a very simple nonlinear algorithm, the so-called Teager's algorithm, has been introduced to calculate the energy of a one-dimensional sequence [1]. In this paper, this algorithm is extended to two-dimensional signals and applied to the contrast enhancement of images. Initial simulation results indicate that the proposed approach yields a superior and visually pleasing enhancement of natural images. The new algorithm is very simple and permits fast implementation. © 1991 SPIE. All rights reserved.

关键词： image enhancement

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A new class of nonlinear filters for image enhancement

A new class of nonlinear filters for image enhancement

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： S.K. Mitra H. Li I.-S. Lin T.-H. Yu Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

Two types of very simple two-dimensional nonlinear filters are introduced and applied to image contrast enhancement. The first type is based on a generalization of the Teager's algorithm. A theoretical analysis has shown that this type of nonlinear filter works like a local-mean-weighted highpass filter. Based on this analysis, a second type of nonlinear filter has been developed which works like local-mean-weighted bandpass filter. The proposed image contrast enhancement technique is based on combining the original image with its filtered version obtained using one of the two nonlinear filters. Very high quality enhancement has been achieved for natural images.< >

关键词： Nonlinear filters image enhancement Band pass filters Filtering Signal processing image processing Laboratories Histograms Brightness Pixel

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A case study of frozen-time eigenvalues in the stability analysis for periodic linear systems

A case study of frozen-time eigenvalues in the stability ana...

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Southeastern Symposium on System Theory

作者： S. Ray J. Zhu Electrical and Computer Engineering Louisiana State University Baton Rouge LA USA Remote Sensing and Image Processing Laboratory Louisiana State University Baton Rouge LA USA

The stability of linear time-varying systems can be assessed using frozen-time eigenvalues (system eigenvalues computed at each instant). The failure of the sufficiency part of this method was illustrated by L. Markus and M. Yamabe (1960). Their example is examined in a more general setting and in the light of the Floquet characteristic exponent theory which leads to some interesting and enlightening results. These results provide deeper insight into and better understanding of the concept of frozen-time eigenvalues and Floquet characteristic exponents. They are also useful in the robustness analysis for linear time-invariant systems, since the nominal eigenvalues in that case are the frozen-time eigenvalues of the perturbed systems used in such analysis.< >

关键词： computer aided software engineering Eigenvalues and eigenfunctions Stability analysis Linear systems Stability criteria Equations Asymptotic stability Remote sensing image processing Laboratories

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Active Gravity Gradient Torque Control for Earth-Orbiting Astronomical Telescopes

Active Gravity Gradient Torque Control for Earth-Orbiting As...

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American Control Conference (ACC)

作者： A. G. Emslie J. Zhu Department of Physics University of Alabama Huntsville AL USA Electrical and Computer Engineering Department Remote Sensing and Image Processing Laboratory Louisiana State University Baton Rouge LA USA

The controlled pointing of an Earth-orbiting astronomical telescope in the presence of time-dependent gravity-gradient torques is studied using recent techniques for the analysis and synthesis of time-varying linear scalar dynamical systems. We present results which show that effective adaptive control of unstable motions due to gravity gradient torques can be accomplished, resulting in high pointing accuracy and stability for astronomical telescopes in both circular and elliptical orbits.

关键词： Gravity Torque control Telescopes Satellites Earth Motion control Orbits Physics computing Remote sensing image processing

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Real-time high-ratio image compression using adaptive VLSI neuroprocessors

Real-time high-ratio image compression using adaptive VLSI n...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： B.J. Sheu W.-C. Fang Department of Electrical Engineering Signal and Image Processing Institute University of Southern California Los Angeles CA USA Jet Propulsion Laboratory Advanced Computer Systems and Technology Section California Institute of Technology Pasadena CA USA

An adaptive VLSI neuroprocessor based on vector quantization algorithm has been developed for real-time high-ratio image compression applications. This VLSI neural-network-based vector quantization (NNVQ) module combines a fully parallel vector quantizer with a pipelined codebook generator for a broad area of data compression applications. The NNVQ module is capable of producing good-quality reconstructed data at high compression ratios more than 20. The vector quantizer chip has been designed, fabricated, and tested. It contains 64 inner-product neural units and a high-speed extendable winner-take-all block. This mixed-signal chip occupies a compact silicon area of 4.6*6.8 mm/sup 2/ in a 2.0- mu m scalable CMOS technology. The throughput rate of the 2- mu m NNVQ module is 2 million vectors per second and its equivalent computation power is 3.33 billion connections per second.< >

关键词： image coding Very large scale integration Vector quantization Neural networks Data compression High performance computing Clustering algorithms Application software image reconstruction CMOS technology

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A real-time VLSI neuroprocessor for adaptive image compression based upon frequency-sensitive competitive learning

A real-time VLSI neuroprocessor for adaptive image compressi...

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International Joint Conference on Neural Networks (IJCNN)

作者： W.-C. Fang B.J. Sheu O.T.-C. Chen Jet Propulsion Laboratory Advanced Computer Systems and Technology Section California Institute of Technology Pasadena CA USA Department of Electrical Engineering Signal and Image Processing Institute University of Southern California Los Angeles CA USA

The frequency-sensitive competitive learning (FSCL) algorithm and its associated VLSI neuroprocessor have been developed for adaptive vector quantisation (AVQ). Simulation results show that the FSCL algorithm is capable of producing a good-quality codebook for AVQ at high compression ratios of more than 20 in real time. This VLSI neural-network-based vector quantization design includes a fully parallel vector quantizer and a pipelined codebook generator to provide an effective data compression scheme. It provides a computing capability as high as 3.33 billion connections per second. Its performance can achieve a speedup of 750 compared with SUN-3/60 and a compression ratio of 33 at a signal-to-noise ratio of 23.81 dB.< >

关键词： Very large scale integration image coding Frequency Neural networks Power capacitors Vector quantization CMOS technology image reconstruction Speech coding Data compression

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INVARIANT RECOVERY OF CURVES IN M-DIMENSIONAL SPACE FROM SPARSE DATA

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JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND vision 1990年第3期7卷 480-490页

作者： STEVENSON, RL DELP, EJ Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette Indiana 47907 USA

We address the problem of reconstructing a smooth curve from sparse and noisy information that is invariant to the choice of the coordinate system. Tikhonov regularization is used to form a well-posed mathematical problem statement, and conditions for an invariant reconstruction are given. The resulting functional minimization problem is shown to be nonconvex. Approximations to the invariant functional are often used to form a convex problem that can be solved efficiently. Two common approximations, those of cubic and weighted cubic splines, are detailed, and examples are given to show that the approximations are often invalid. To form a valid approximation to the invariant functional we propose a two-step algorithm. The first step forms a piecewise-linear curve, which is invariant to the coordinate system. This piecewise-linear curve is then used to construct a parameterization of the curve for which we can make a valid approximation to the invariant functional. Examples are given to demonstrate the effectiveness of the algorithm, and two example applications for which the invariant property is important are given.

关键词： Algorithms Curvature Inverse problems Machine vision Reconstruction algorithms Strain

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DESIGN OF LINEAR-PHASE FIR NOTCH FILTERS

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SADHANA-ACADEMY PROCEEDINGS IN engineering SCIENCES 1990年第3期15卷 133-155页

作者： YU, TH MITRA, SK BABIC, H Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California at Santa Barbara Santa Barbara USA Electrotechnical Faculty University of Zagreb Zagreb Yugoslavia

This paper investigates some approaches for designing one-dimensional linear phase finite-duration impulse-responses (FIR) notch filters, which are based on the modification of several established design techniques of linear phase FIR band-selective filters. Based on extensive design examples and theoretical analysis, formulae have been developed for estimating the length of a linear phase FIR notch filter meeting the given specifications. In addition, the design of two-dimensional linear phase FIR notch filters is briefly considered. Illustrative examples are included.

关键词： FIR DIGITAL FILTER DIGITAL FILTER DESIGN DIGITAL NOTCH FILTER

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