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检索条件"主题词=Algorithm Development"

共 1735 条记录，以下是321-330 订阅

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Multi-scale blind deconvolution of sensor array signals via scale transform

Multi-scale blind deconvolution of sensor array signals via ...

引用

Conference on Advanced Signal Processing algorithms, Architectures, and Implementations IX

作者： Izzetoglu, M Akgül, T Drexel Univ Dept Elect & Comp Engn Philadelphia PA 19104 USA

ISBN: (纸本)0819432938

In this paper we introduce a. multi-scale deconvolution technique performed in the scale-domain. In sensor array applications such as in radar, sonar and seismic processing, the sensor outputs are modeled as the convolution of the unknown source signal with various unknown system impulse responses that are scaled versions of each other with unknown scale parameters. In many applications these signals or the scaling parameters are needed to be estimated only from the sensor outputs. In our earlier work, we estimated the unknown scale parameters by using properties of the scale transform and then employed existing deconvolution algorithms. Here, we derive the multiscale blind deconvolution algorithm in the scale transform domain. The performance of the method is illustrated using simulation examples.

关键词： Sensors Deconvolution Reflectors Convolution Signal processing algorithm development Computer simulations Electronic filtering Image processing Radar

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AUTOMATED REGISTRATION OF TERRAIN RANGE IMAGES USING SURFACE-FEATURE LEVEL SETS

AUTOMATED REGISTRATION OF TERRAIN RANGE IMAGES USING SURFACE...

引用

CONF ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING : IMAGE PROCESSING

作者： WHEELER, FW VAZ, RF CYGANSKI, D Worcester Polytechnic Institute (United States)

ISBN: (纸本)0819407437

A method for registering terrain range images is described. A smooth surface is fit to range data to provide a continuous mapping to second order surface intrinsics. Level sets of such intrinsics are found as features. These features enable two accurate means of comparison: arclength and a circular correlation of the distance from the discrete points on the level set to its centroid. These two methods of feature matching allow a matching algorithm with computational complexity O(N log N). The solution of the transformation from the matches employs a weighted least squares technique and removes matching errors by cross validation. The method is tested on simulated range images and results are given.

关键词： Image processing Image registration Visual communications Signal processing Data modeling algorithm development Associative arrays Information operations Range image registration Electrical engineering

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Applications of independent component analysis (ICA) in endmember extraction and abundance quantification for hyperspectral imagery

Applications of independent component analysis (ICA) in endm...

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Conference on algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII

作者： Wang, Jing Chang, Chein-, I Univ Maryland Dept Comp Sci & Elect Engn Remote Sensing Signal & Image Proc Lab Baltimore MD 21250 USA

ISBN: (纸本)0819462896

independent component analysis (ICA) has shown success in many applications. This paper investigates a new application of the ICA in endmember extraction and abundance quantification for hyperspectral imagery. An endmember is generally referred to as an idealized pure signature for a class whose presence is considered to be rare. When it occurs, it may not appear in large population. In this case, the commonly used principal components analysis (PCA) may not be effective since endmembers usually contribute very little in statistics to data variance. In order to substantiate our findings, an ICA-based approach, called ICA-based abundance quantification algorithm (ICA-AQA) is developed. Three novelties result from our proposed ICA-AQA. First, unlike the commonly used least squares abundance-constrained linear spectral mixture analysis (ACLSMA) which is a 2(nd) order statistics-based method, the ICA-AQA is a high order statistics-based technique. Second, due to the use of statistical independence it is generally thought that the ICA cannot be implemented as a constrained method. The ICA-AQA shows otherwise. Third, in order for the ACLSMA to perform abundance quantification, it requires an algorithm to find image endmembers first then followed by an abundance-constrained algorithm for quantification. As opposed to such a two-stage process, the ICA-AQA can accomplish endmember extraction and abundance quantification simultaneously in one-shot operation. Experimental results demonstrate that the ICA-AQA performs at least comparably to abundance-constrained methods.

关键词： Independent component analysis Hyperspectral imaging algorithm development Minerals Digital imaging Image processing Neodymium Principal component analysis Spatial resolution Pixel resolution

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Biologically inspired feature based categorization of objects.

Biologically inspired feature based categorization of object...

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Conference on Human Vision and Electronic Imaging IX

作者： Mundhenk, TN Navalpakkam, V Makaliwe, H Vasudevan, S Itti, L Univ So Calif Dept Comp Sci Henry Salvatori Comp Sci Ctr Los Angeles CA 90089 USA

ISBN: (纸本)0819451959

We have developed a method for clustering features into objects by taking those features which include intensity, orientations and colors from the most salient points in an image as determined by our biologically motivated saliency program. We can train a program to cluster these features by only supplying as training input the number of objects that should appear in an image. We do this by clustering from a technique that involves linking nodes in a minimum spanning tree by not only distance, but by a density metric as well. We can then form classes over objects or object segmentation in a novel validation set by training over a set of seven soft and hard parameters. We discus as well the uses of such a flexible method in landmark based navigation since a robot using such a method may have a better ability to generalize over the features and objects.

关键词： algorithm development Image segmentation Independent component analysis Visualization Feature extraction Cameras Detection and tracking algorithms Expectation maximization algorithms Navigation systems Object recognition

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NEURAL NETWORK AIDED DESIGN FOR IMAGE-PROCESSING

NEURAL NETWORK AIDED DESIGN FOR IMAGE-PROCESSING

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CONF ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING : IMAGE PROCESSING

作者： VITSNUDEL, I GINOSAR, R ZEEVI, Y Technion - Israel Institute of Technology (Israel)

ISBN: (纸本)0819407437

A new concept of Neural Network-Aided Design (NN-AD) is presented. It is a hierarchical approach consisting of several concatenated stages of visual information processing that are designed by training neural networks (NN). Thus, NN-AD can be viewed as a general tool for the design of special filters in accordance with the specific task of image processing under consideration. The nonlinear filters are formatted by a supervised presentation of a proper set of input-output patterns. The principles of NN-AD design are illustrated by the examples of edge detection with subpixel resolution and of orientational processing for edge enhancement. The proposed NN-AD approach is found to be very robust with regard to various types of errors.

关键词： Image processing Neural networks Edge detection Image enhancement Image filtering Nonlinear filtering Visual communications algorithm development Image resolution Network architectures

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NONPARAMETRIC MULTISCALE CURVE SMOOTHING

NONPARAMETRIC MULTISCALE CURVE SMOOTHING

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CONF ON APPLICATIONS OF ARTIFICIAL INTELLIGENCE 1993 : MACHINE VISION AND ROBOTICS ( PREPRINTS )

作者： ROSIN, P Curtin Univ. of Technology (Australia)

ISBN: (纸本)0819412007

Lowe demonstrated a method for automatically segmenting and smoothing image curves by varying degrees. It was intended to remove noise and unnecessary fine detail, aiding subsequent processing such as grouping and matching. An alternative technique is described in this paper that is based on recursively subdividing the curve into alternative sets of sections. Rather than use thresholds on the values of curvature and its derivatives to determine the segmentation and degree of smoothing our technique is driven by three qualitative measures: (1) a criterion for selecting potential breakpoints, (2) a criterion for determining the amount of smoothing for curve sections, and (3) a significance measure that determines which sections form the best selection. The advantages of the technique are robustness, scale invariance, and the absence of parameters.

关键词： Evolutionary algorithms Image segmentation Artificial intelligence Image processing Image processing algorithms and systems algorithm development Quantization Error analysis Feature extraction Fourier transforms

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Depth determination using thermal imaging

Depth determination using thermal imaging

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Conference on Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II

作者： Cantello, C Gen Elect Res Appl Opt Lab Schenectady NY 12308 USA

ISBN: (纸本)0819455598

A thermal technique and system for measuring the depth of a crack in metal is described. The transient heat signature of a moving infrared laser source is analyzed using three intensity-based algorithms and the limitations of this approach are examined. Experimental results demonstrate capability to measure EDM-notches 0.06 inches deep and shallower, and the variability of the system agrees with the theoretical. The advantages and disadvantages of this technique over other non-destructive testing (NDT) methods are also outlined.

关键词： Thermography Data acquisition algorithm development Computing systems Sensors Video Imaging systems Nondestructive evaluation Infrared lasers Metals

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Cooperative Data Dissemination to Mission Sites

Cooperative Data Dissemination to Mission Sites

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Conference on Wireless Sensing, Localization, and Processing V

作者： Chen, Fangfei Johnson, Matthew P. Bar-Noy, Amotz La Porta, Thomas F. Penn State Univ Dept Comp Sci & Engn University Pk PA 16802 USA CUNY Grad Ctr Dept Comp Sci New York NY USA

ISBN: (纸本)9780819481702

Timely dissemination of information to mobile users is vital in many applications. In a critical situation, no network infrastructure may be available for use in dissemination, over and above the on-board storage capability of the mobile users themselves. We consider the following specialized content distribution application: a group of users equipped with wireless devices build an ad hoc network in order cooperatively to retrieve information from certain regions (the mission sites). Each user requires access to some set of information items originating from sources lying within a region. Each user desires low-latency access to its desired data items, upon request (i.e., when pulled). In order to minimize average response time, we allow users to pull data either directly from sources or, when possible, from other nearby users who have already pulled, and continue to carry, the desired data items. That is, we allow for data to be pushed to one user and then pulled by one or more additional users. The total latency experienced by a user vis-vis a certain data item is then in general a combination of the push delay and the pull delay. We assume each delay time is a function of the hop distance between the pair of points in question. Our goal in this paper is to assign data to mobile users, in order to minimize the total cost and the average latency experienced by all the users. In a static setting, we solve this problem in two different schemes, one of which is easy to solve but wasteful, one of which relates to NP-hard problems but is less so. Then in a dynamic setting, we adapt the algorithm for the static setting and develop a new algorithm with respect to users' gradual arrival. In the end we show a trade-off can be made between minimizing the cost and latency.

关键词： Data storage algorithm development Computer simulations Analytical research Computer science Defense and security Computer engineering Data centers Device simulation Lanthanum

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Unusual activity detection for persistent target surveillance

Unusual activity detection for persistent target surveillanc...

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Conference on Sensors, and Command, Control, Communications, and Intelligence (C31) Technologies for Homeland Security and Homeland Defense IV

作者： He, ZH Univ Missouri Dept Elect & Comp Engn Columbia MO 65203 USA

ISBN: (纸本)0819457639

The information generated by the integrated sensor suite is massive. Simply bringing the information to the decision makers is a cognitive disaster due to the information overload. Intelligent algorithms need to be developed to exploit and filter the information. In this work, we seek to develop content-level change detection and activity-level information fusion and filtering algorithms to detect unusual activities for persistent target surveillance applications.

关键词： algorithm development Detection and tracking algorithms Video surveillance Sensors Surveillance Target detection Video Image registration Unmanned aerial vehicles Infrared sensors

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Exact image reconstruction from n-PI acquisition data in helical cone-beam CT

Exact image reconstruction from n-PI acquisition data in hel...

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Medical Imaging 2005 Conference

作者： Zou, Y Pan, XC Sidky, E Univ Chicago Dept Radiol Chicago IL 60637 USA

ISBN: (纸本)0819457213

In helical cone-beam computerized tomography, the data within the Tam-Danielsson window is sufficient for exact reconstruction of the images. In some practical situation, the projections outside the Tam-Danielsson window are available that indicate the data redundancy. In this work, we investigate image reconstruction on n-PI lines from data within n-PI window. We performed a preliminary numerical study, and the results in these studies shown that our algorithm can exactly reconstruct images from n-PI data.

关键词： Reconstruction algorithms Image restoration Computed tomography Data acquisition Sensors algorithm development Data modeling Detection and tracking algorithms Tomography X-rays

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