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1993 IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： B. Wang D.M. Rose 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

An empirical measure for the selection of the edge-enhancement Gaussian filter is developed. The Gaussian filter is specified by its standard deviation sigma ; the filter's spatial support is a function of sigma . An estimation procedure for sigma using Fourier analysis is described. The measure is easy to implement and is based totally on the image at hand. Experimental results suggest that this measure can be used as an aid in deciding the Gaussian filter's spatial support, which is needed to enhance the edges. Other equivalent bandwidth definitions can be used to obtain a measure of the frequency spread in the smoothed image (e.g., the mean-square bandwidth).< >

关键词： Gaussian processes Low pass filters Shape Filtering Frequency Mathematics computer science computer vision image processing image segmentation

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Root-loci for periodic linear systems 25

Root-loci for periodic linear systems

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25th Southeastern Symposium on System Theory, SSST 1993

作者： Zhu, J. Vemula, S.K. Louisiana State Univ. Electrical and Computer Engineering Department Baton RougeLA70803 United States Louisiana State Univ. Remote Sensing Aind Image Processing Laboratory Baton RougeLA70803 United States

ISBN: (纸本)0818635606

According to the Floquet theory, an nth-order linear periodic (LP) system of the form yn+αn(t) y/sup n-1/+...+α2(t)dy(t)/dt+α1(t)y=0 can be transformed into an equivalent linear time-invariant (LTI) system whose characteristic roots, known as Floquet characteristic exponents (FCEs), determine the stability of the LP system. A technique for obtaining an approximation of the characteristic equation for the FCEs is developed. Parametric loci of the FCE, similar to the root locus plot for a LTI system, are then developed for the LP system. The technique is exemplified by 2nd-order LP systems. The FCE loci are useful in the stability analysis and control design for LP systems. © 1993 IEEE.

关键词： Root loci

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A New Method for Evaluating Floquet Characteristic Exponents of Periodic Linear Systems

A New Method for Evaluating Floquet Characteristic Exponents...

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American Control Conference (ACC)

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

It is well-known that the stability of linear periodic (LP) systems can be assessed using Floquet Characteristic Exponents (FCE). In this paper, a new method is presented for evaluating FCE for nth-order scalar periodic linear systems based on a recently developed unified eigenvalue theory for linear time-varying (LTV) Systems [1]. The new theory allows FCEs to be evaluated from the DC term of the Fourier series of periodic PD-eigen-values of a LP system. Comparing to the well-known Monodromy Matrix (MM) method and Infinite Dimensional Determinant (IDD) method for evaluating FCE 1 the solutions obtained by the new method have rapid local convergence. This new method also allow stability boundaries in the parameter space of a LP system to be evaluated and plotted directly. The new results shed some light OL the general stability assessment problem for vector periodic linear systems and aperiodic LTV systems. Further studies along this direction are also discussed in this paper.

关键词： Linear systems Eigenvalues and eigenfunctions Vectors Fourier series Frequency Equations Stability analysis Remote sensing image processing Laboratories

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Complexity analysis of range image segmentation on MasPar MP-1

Complexity analysis of range image segmentation on MasPar MP...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： N. Ramesh V. Chaudhary Vision & Neural Networks Laboratory Department of Computer Science Wayne State University Detroit MI USA Department of Electrical and Computer Engineering Wayne State University Detroit MI USA

Many low level vision tasks that are computationally intensive are easily parallelizable. The lack of parallel processing systems, or their prohibitive costs, have prevented the move of vision processing algorithms from single processor systems to multiprocessor systems. With the recent spurt of parallel processing hardware, there is a need to investigate the feasibility of using such machines for some vision algorithms. Speedup is an important factor in determining the feasibility of migration from single processor systems to parallel processors. In this work, we investigate a particular segmentation algorithm and present theoretical speedup results. Our formula can work out numerical speedups by simply plugging in the parameter values.< >

关键词： image analysis image segmentation computer vision Parallel processing Neural networks computer science Concurrent computing Costs Multiprocessing systems Hardware

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ADAPTIVE FUZZY LEADER CLUSTERING OF COMPLEX DATA SETS IN PATTERN-RECOGNITION

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IEEE TRANSACTIONS ON NEURAL NETWORKS 1992年第5期3卷 794-800页

作者： NEWTON, SC PEMMARAJU, S MITRA, S Computer Vision and Image Analysis Lab Department of Electrical Engineering Texas Tech University Lubbock TX USA

Most real data structures encountered in speech and image recognition and in medical and many other decision making tasks are quite complex in nature and rather difficult to organize for designing autonomous and optimal control and recognition systems. This paper presents a modular, unsupervised neural network architecture which can be used for clustering and classification of complex data sets. The adaptive fuzzy leader clustering (AFLC) architecture is a hybrid neural-fuzzy system which learns on-line in a stable and efficient manner. The system uses a control structure similar to that found in the adaptive resonance theory (ART-1) network to identify the cluster centers initially. The initial classification of an input takes place in a two-stage process: a simple competitive stage and a distance metric comparison stage. The cluster prototypes are then incrementally updated by relocating the centroid positions from fuzzy C-means (FCM) system equations for the centroids and the membership values. The operational characteristics of AFLC and the critical parameters involved in its operation are discussed. The performance of the AFLC algorithm is presented through application of the algorithm to the Anderson Iris data and laser-luminescent fingerprint image data. The AFLC algorithm successfully classifies features extracted from real data, discrete or continuous, indicating the potential strength of this new clustering algorithm in analyzing complex data sets.

关键词： Representation of data Fuzzy Taxonomy Centroid Self tuning Clustering algorithms Pattern recognition Dataset Cluster analysis

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A VLSI PROCESSOR FOR PARALLEL CONTOUR TRACING

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1992年第2期40卷 429-438页

作者： AGI, I HURST, PJ JAIN, AK Solid-state Circuits Research Laboratory Department of Electrical Engineering and Computer Science University of California Davis CA USA Computer Vision Research Laboratory Department of Electrical Engineering and Computer Science University of California Davis CA USA

A custom IC processor that traces contours in black-and-white images is described. The CMOS IC contains a finite state machine, ALU, input delay line, and RAM. Each processor extracts the edges from a rectangular portion of the input image and traces the edges, outputting a description of the contours. A complete tracing system employs an array of these processors. The array architecture allows expansion to handle arbitrarily large images. The processors trace independently, thereby providing fully parallel high-speed operation. Partial contours are generated as a result of the partitioning of the image among the processors. A postprocessor links any partial contours created by the subdivision of the input image. The contour-tracing algorithm and simulation results for compression ratio and number of operations are presented. The architecture and measured performance of the IC are described.

关键词： Very large scale integration Signal processing algorithms Read-write memory Automata Pixel CMOS integrated circuits Delay lines Partitioning algorithms Biomedical measurements

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Morphological analysis of discrete random shapes

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Journal of Mathematical Imaging and vision 1992年第2-3期2卷 193-215页

作者： Goutsias, John Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore 21218 MD United States

In this paper I discuss a number of theoretical issues regarding the morphological analysis of discrete random shapes by means of Matheron's random set theory. I revisit this theory by limiting myself to the discrete case, since most image data are available in a discrete form. Although it may seem that the transition from the continuous to the discrete case is straightforward (since most of Matheron's theory is general enough to incorporate the discrete case as a special case), this transition is often challenging and full of exciting and, surprisingly, pleasant results. I introduce the concept of the cumulative-distribution functional of a discrete random set and review some fundamental properties of the capacity functional (a fundamental statistical quantity that uniquely defines a random set and relates random set theory to mathematical morphology). In analogy to a recent result and under a natural boundness condition, I show that there exists a one-to-one correspondence between the probability-mass function of a discrete binary random field and the corresponding cumulative-distribution functional. The relationship between the cumulative-distribution functional and the capacity functional of a discrete random set is also established. The cumulative-distribution and capacity functionals are related to the higher-order moments of a discrete binary random field, and, therefore, their computation is equivalent to computing these moments. A brief discussion of how to perform such computations for a certain class of discrete random sets is provided. The capacity functional of a morphologically transformed, continuous random set cannot be associated to the capacity functional of the random set itself, except in the case of dilation. I show that the derivation of such an association is possible in the discrete case and for the cases of dilation and erosion and more complicated morphological transformations, such as opening and closing. These relationships are then used

关键词： binary random fields discrete random shapes mathematical morphology random set theory shape analysis

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Multi-resolution surface modeling from multiple range views

Multi-resolution surface modeling from multiple range views

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1992 IEEE computer Society Conference on computer vision and Pattern Recognition, CVPR 1992

作者： Soucy, M. Laurendeau, D. Computer Vision and Digital Systems Laboratory Department of Electrical Engineering Laval University QC Canada

ISBN: (纸本)0818628553

A multiresolution surface modeling technique is presented. Several registered range views obtained from different viewpoints are first integrated into a nonredundant surface triangulation. The integration technique is based on the reparameterization of the canonic subsets of the Venn diagram of the set of views. The resulting triangulation is then input to a sequential optimization process that computes different levels of resolution of the surfaces of interest. © 1992 IEEE.

关键词： Triangulation

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IDENTIFIABILITY OF A SET OF QUADRATIC EQUATIONS WITH UNKNOWN COEFFICIENTS

IDENTIFIABILITY OF A SET OF QUADRATIC EQUATIONS WITH UNKNOWN...

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INTERNATIONAL SYMP ON CIRCUITS AND SYSTEMS ( ISCAS 92 )

作者： TONG, L YU, S LIU, R Department of Electrical and Computer Engineering West Virginia University Morgantown 26506 WV United States Laboratory for Image and Signal Analysis(LISA) Department of Electrical Engineering University of Notre Dame Notre Dame 46556 IN United States

ISBN: (纸本)0780305930

In this paper, the motivation for studying the simultaneous quadratic equations with unknown coefficients is first presented. Its indeterminacy and identifiability are considered. A main lemma and three theorems are then presented. A comparison with the well known simultaneous diagonalization problem is also given. © 1992 IEEE.

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Multi-primitive hierarchical (MPH) stereo system

Multi-primitive hierarchical (MPH) stereo system

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1992 IEEE computer Society Conference on computer vision and Pattern Recognition, CVPR 1992

作者： Marapane, S.B. Trivedi, M.M. Computer Vision and Robotics Research Laboratory Department of Electrical and Computer Engineering University of Tennessee KnoxvilleTN37996-2100 United States

ISBN: (纸本)0818628553

A computational framework for an accurate, robust, and efficient stereo approach is developed. Most of the deficiencies prevailing in current computational models of stereo can be attributed to their use of a single, typically edge-element-based, primitive for stereo analysis and to their use of a single-level control strategy. The multi-primitive hierarchical (MPH) framework for stereo analysis presented is directed toward overcoming these deficiencies. In the MPH model, stereo analysis is performed in multiple stages, incorporating multiple primitives and utilizing a hierarchical control strategy. The higher levels of the hierarchical system are based on primitives containing more semantic information, and the results of stereo analysis at higher levels are used for guidance at the lower levels. It is shown that such a stereo system is superior to a single-level, single-primitive system. © 1992 IEEE.

关键词： Hierarchical systems

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