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检索条件"主题词=Algorithm development"

共 1735 条记录，以下是1501-1510 订阅

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DESIGN OF PARALLEL MULTIRESOLUTION FILTER BANKS BY SIMULATED ANNEALING

DESIGN OF PARALLEL MULTIRESOLUTION FILTER BANKS BY SIMULATED...

引用

CONF ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING : VISUAL COMMUNICATIONS

作者： LI, W BASSO, A POPAT, A NICOULIN, A KUNT, M Swiss Federal Institute of Technology (Switzerland)

ISBN: (纸本)0819407429

A new simulated annealing technique is described for designing multiresolution, parallel-structured filter banks with finite wordlength coefficients. The algorithm is based on a two stage optimization. In the first stage, a perturbation following uniform distribution is used; while in the second stage, perturbation is in Gaussian distribution, allowing a faster convergence. The filter banks have properties which make them well suited to image subband coding applications. In particular, they provide joint localization in the spatial and spectral domains, and allow no leakage of DC into higher subbands. This paper describes the algorithm and presents design examples.

关键词： Visual communications algorithms Image processing Image filtering Image compression Optical filters Optimization (mathematics) algorithm development Rhodium Visualization

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Endmember generation by projection pursuit

Endmember generation by projection pursuit

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

作者： Solyar, G Chang, CI Plaza, A Univ Maryland Baltimore Cty Dept Elect Engn & Comp Sci Remote Sensing Signal & Image Proc Lab Baltimore MD 21250 USA

ISBN: (纸本)0819457914

Projection pursuit (PP) is an interesting concept, which has been found in many applications. It uses a so-called projection index (PI) as a criterion to seek directions that may lead to interesting findings for data analysts. Unlike the principal components analysis (PCA), which uses variance as a measure to find directions that maximizes data variances, the PI used by the PP finds interesting directions that can be characterized by statistics higher than variance. As a result, the PCA is generally considered as a special case of PP with the PI particularly specified by the variance. Recently, a PP-based approach was developed by Ifarraguerri and Chang for multispectral/hyperspectral image analysis. This paper revisits their approach and investigates its application in endmember generation where endmembers can be extracted from a sequence of projections generated by PP.

关键词： algorithm development Quantization Computer simulations Calcite Hyperspectral imaging Principal component analysis Digital imaging Image compression Signal processing Computer science

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Bit-plane based analysis of integer wavelet coefficients for image compression - art. no. 60600D

Bit-plane based analysis of integer wavelet coefficients for...

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Conference on Visualization and Data Analysis 2006

作者： Abu-Hajar, Ahmed Digitavid San Jose CA USA

ISBN: (纸本)0819461008

This paper presents bit-plane based statistical study for integer wavelet transforms commonly used in image compression. In each bit-plane, the coefficients were modeled as binary random variables. Experimental results indicate the probability of the significant coefficients (P-1), in each bit-plane, monotonically increases from P-1 approximate to 0 at the most significant bits (MSB) to p(1) approximate to 0.5 at the least significant bits (LSB). Then, a parameterized model to predict p(1) from the MSB to the LSB was proposed. Also, the correlation among the different bit-planes within the same coefficient was investigated. In addition, this study showed correlation of the significant coefficients in the same spatial orientation among different subbands. Finally, clustering within the each subband and across the different subband with the same spatial orientation was investigated. Our results show strong correlation of previously coded significant coefficients at higher levels and the significant coefficients in future passes at lower levels. The overall study of this paper is useful in understanding and enhancing existing wavelet-based image compression algorithms such as SPIHT and EBC.

关键词： Wavelets Image compression Binary data Bismuth Statistical analysis JPEG2000 Image enhancement Wavelet transforms algorithm development Statistical modeling

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CLASSIFICATION OF DUCTAL CARCINOMA IN-SITU BY IMAGE-ANALYSIS OF CALCIFICATIONS FROM MAMMOGRAMS

CLASSIFICATION OF DUCTAL CARCINOMA IN-SITU BY IMAGE-ANALYSIS...

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CONF ON BIOMEDICAL IMAGE PROCESSING AND BIOMEDICAL VISUALIZATION

作者： PARKER, J DANCE, DR DAVIES, DH YEOMAN, LJ MICHELL, MJ HUMPHREYS, S Institute of Cancer Research and Royal Marsden Hospital (United Kingdom) King's College Hospital (United Kingdom)

ISBN: (纸本)0819411388

Image analysis methods have been developed to characterize calcifications associated with Ductal Carcinoma in-Situ (DCIS), and to differentiate between those having comedo or non- comedo histology. Cases were selected from the U.K. breast screening program, and in each case the histology and a magnified mammographic view were obtained. The films were digitized at 25 micron sampling size and 8 bit grey level resolution. Calcifications were manually segmented from the normal breast background, and a radiologist, experienced in breast screening, checked the labelling of a calcifications. An algorithm was developed to classify firstly the individual objects within a film, and secondly the film itself. The algorithm automatically selected the combination of features giving the least estimated Bayes error for a set of object-oriented features evaluated for each calcification. The k-nearest neighbors statistical approach was then used to classify individual objects giving a ratio of comedo to non-comedo objects for a set of training films. Films were classified by applying a threshold to this ratio. In the classification of typical comedo from typical non-comedo the success rate of the algorithm was 100% for a training set of 4 cases and test set of 16 cases.

关键词： Breast Mammography Image analysis algorithm development Error analysis Image classification Image segmentation Pathology Cancer Tissues

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NEURAL ESTIMATION AND EMBEDOLOGY FOR TIME SERIES PREDICTION

NEURAL ESTIMATION AND EMBEDOLOGY FOR TIME SERIES PREDICTION

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1st International Conference on Applications and Science of Artificial Neural Networks

作者： GARZA, RE STEWART, JA ROGERS, SK QUINN, DW STRIGHT, J USAF INST TECHNOLWRIGHT PATTERSON AFBOH 45433

ISBN: (纸本)0819418455

Time series prediction has widespread application, ranging from predicting the stock market to trying to predict future locations of scud missiles. The embedology theorem sets forth the procedures for state space manipulation and reconstruction for time series prediction. This includes embedding the time series into a higher dimensional space in order to form an attractor, a structure defined by the embedded vectors. In this paper, embedology is combined with neural technologies in an effort to create a more accurate prediction algorithm. The algorithms tested are embedology, neural networks, and Euclidean space nearest neighbors. Local linear training methods are compared to the use of the nearest neighbors as the training set for a neural network. The results of these experiments determine that the neural algorithms have the best prediction accuracies. The performance of the nearest neighbor trained neural network validates the applicability of the local linear training set.

关键词： Neural networks Evolutionary algorithms Reconstruction algorithms algorithm development Error analysis Data modeling Stochastic processes Dynamical systems Fractal analysis Dysprosium

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A web-based neurological pain classifier tool utilizing Bayesian decision theory for pain classification in spinal cord injury patients

A web-based neurological pain classifier tool utilizing Baye...

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Conference on Medical Imaging - PACS and Imaging Informatics - Next Generation and Innovations

作者： Verma, Sneha K. Chun, Sophia Liu, Brent J. Univ Soouth Calif Dept Biomed Engn IPILab Los Angeles CA 90089 USA

ISBN: (纸本)9780819498328

Pain is a common complication after spinal cord injury with prevalence estimates ranging 77% to 81%, which highly affects a patient's lifestyle and well-being. In the current clinical setting paper-based forms are used to classify pain correctly, however, the accuracy of diagnoses and optimal management of pain largely depend on the expert reviewer, which in many cases is not possible because of very few experts in this field. The need for a clinical decision support system that can be used by expert and non-expert clinicians has been cited in literature, but such a system has not been developed. We have designed and developed a stand-alone tool for correctly classifying pain type in spinal cord injury (SCI) patients, using Bayesian decision theory. Various machine learning simulation methods are used to verify the algorithm using a pilot study data set, which consists of 48 patients data set. The data set consists of the paper-based forms, collected at Long Beach VA clinic with pain classification done by expert in the field. Using the WEKA as the machine learning tool we have tested on the 48 patient dataset that the hypothesis that attributes collected on the forms and the pain location marked by patients have very significant impact on the pain type classification. This tool will be integrated with an imaging informatics system to support a clinical study that will test the effectiveness of using Proton Beam radiotherapy for treating spinal cord injury (SCI) related neuropathic pain as an alternative to invasive surgical lesioning.

关键词： Injuries Spinal cord Decision support systems Classification systems Prototyping algorithm development algorithms Human-machine interfaces Imaging informatics Machine learning

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Adaptive Statistical Inferential Methods for Information Processing

Adaptive Statistical Inferential Methods for Information Pro...

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SPIE Future Sensing Technologies Conference

作者： Chen, Xinjia Northwestern State Univ Louisiana Dept Engn Technol Natchitoches LA 71497 USA

ISBN: (纸本)9781510638624;9781510638617

Modern sensors produce increasingly high volume of data that requires efficient and reliable statistical methods for information processing. We consider frequent problems of information processing which can be cast into the framework of parameter estimation and multihypothesis testing. We propose a unified approach for statistical inference of information processing by introducing the inclusion principle, confidence process, unimodal likelihood estimator, and time-uniform concentration inequalities. Our methods attempt to make decision based on observing data in an adaptive and sequential way so that the decision can be made as quick as possible, while the probability of committing mistakes is acceptably small.

关键词： Data processing Signal detection algorithm development Target recognition Detection and tracking algorithms Image classification Machine learning Sensors Statistical methods Target detection

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DISTRIBUTION BASED BACKGROUND AND THRESHOLD ESTIMATIONS FOR SMALL TARGET DETECTION IN AN INFRARED IMAGING-SYSTEM

DISTRIBUTION BASED BACKGROUND AND THRESHOLD ESTIMATIONS FOR ...

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Conference on Infrared Imaging System: Design, Analysis, Modeling, and Testing IV

作者： LEWIS, CP AUTOMATED SCI GRP INC HUNTSVILLEAL 35816

ISBN: (纸本)0819412058

This paper presents a method for generating quick and accurate background level estimations with corresponding threshold level estimations from a distribution profile of time delay integration (TDI) scanning focal plane array (FPA) detector values. The resulting background and threshold parameters are used to separate target signal contribution from background and noise contributions. This method was developed for use in a real-time multiprocessor based infrared (IR) imaging and signal processing system. The algorithms developed for the system have been designed and tested for detection of small targets. This process for estimating background and threshold parameters is explained along with discussions of performance evaluations and limitations.

关键词： Digital signal processing Staring arrays Infrared imaging Signal processing Imaging systems Target detection Sensors Image processing algorithm development Infrared sensors

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Astronomical image decomposition using wavelets, ridgelets, and curvelets: the combined transforms method

Astronomical image decomposition using wavelets, ridgelets, ...

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Conference on Astronomical Data Analysis

作者： Starck, JL CEA Saclay DAPNIA SEI SAP F-91191 Gif Sur Yvette France

ISBN: (纸本)0819441910

Many multiscale methods have been developped during the last fifteen years, such the bi-orthogonal wavelet transform, the a trous algorithm, the ridgelet transform or the curvelet transform. Each of them is optimal to detect one kind of features. We present the Combined Transforms Method which allows us to combine several transformations in order to benefit of the advantages of each of them.

关键词： Transform theory Wavelets Wavelet transforms Astronomy Galactic astronomy algorithm development Associative arrays Image processing Stars Fourier transforms

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PARALLEL DC NOTCH FILTER 14

PARALLEL DC NOTCH FILTER

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CONF ON APPLICATIONS OF DIGITAL IMAGE PROCESSING 14

作者： KWOK, KC CHAN, MK Hong Kong Baptist College (Hong Kong)

ISBN: (纸本)0819406953

In the process of image acquisition, the object of interest may not be evenly illuminated. So an image with shading irregularities would be produced. This type of image is very difficult to analyze. Consequently, a lot of research work concentrates on this problem. In order to remove the light illumination problem, one of the methods is to filter the image. The dc notch filter is one of the spatial domain filters used for reducing the effect of uneven light illumination on the image. Although the dc notch filter is a spatial domain filter, it is still rather time consuming to apply, especially when it is implemented on a microcomputer. To overcome the speed problem, a parallel dc notch filter is proposed. Based on the separability of the algorithm dc of notch filter, image parallelism (parallel image processing model) is used. To improve the performance of the microcomputer, an INMOS IMS B008 Module Mother Board with four IMS T800-17 is installed in the microcomputer. In fact, the dc notch filter is implemented on the transputer network. This parallel dc notch filter creates a great improvement in the computation time of the filter in comparison with the sequential one. Furthermore, the speed-up is used to analyze the performance of the parallel algorithm. As a result, parallel implementation of the dc notch filter on a transputer network gives a real-time performance of this filter.

关键词： Image processing Linear filtering Image segmentation Digital image processing Image filtering Telecommunications Parallel processing Bridges Signal processing algorithm development

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