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检索条件"主题词=Detection and tracking algorithms"

共 1721 条记录，以下是361-370 订阅

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Confocal imaging algorithm for profiling rough surfaces with non-gaussian spectra.

Confocal imaging algorithm for profiling rough surfaces with...

引用

19th Congress of the International-Commission-for-Optics

作者： Aguilar, JF Inst Nacl Astrofis Opt & Electr Puebla 72840 Mexico

ISBN: (纸本)0819445967

The confocal imaging algorithm is applied to retrieve the profile of 1-D rough surfaces with non-gaussian spectra. Different forms of the autocovariance function are tried in the simulation, gaussian included for reference. The capability and the limitations of the algorithm for each function are to be set in terms of the parameters of roughness such as the rms and the correlation length.

关键词： Confocal microscopy Scattering Profiling detection and tracking algorithms Electromagnetism Computer simulations Image quality Interfaces Optical testing Polarization

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ERRORS IN SPATIAL PHASE-STEPPING TECHNIQUES

ERRORS IN SPATIAL PHASE-STEPPING TECHNIQUES

引用

Interferometry 94 - New Techniques and Analysis in Optical Measurements Conference

作者： CREATH, K SCHMIT, J UNIV ARIZONA CTR OPT SCITUCSONAZ 85721

ISBN: (纸本)0819416738

Spatial phase-measurement interferometry techniques are affected by a number of sources of error. This paper focuses on the major limitations for phase calculations using standard N- point algorithms. These limitations are having the wrong carrier frequency, unequally spaced fringes, detector nonlinearities, and variations in the dc fringe intensity. Computer simulations reveal the character and magnitude of these errors.

关键词： Phase shifts Sensors Phase measurement Error analysis Data processing detection and tracking algorithms Wavefronts Chlorine Scanning probe microscopy Phase interferometry

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AUTOMATED ADAPTATION FOR ATR algorithms

AUTOMATED ADAPTATION FOR ATR ALGORITHMS

引用

Conference on detection Technologies for Mines and Minelike Targets

作者： SYMOSEK, PF BAZAKOS, ME HONEYWELL TECHNOL CTR MINNEAPOLISMN 55418

ISBN: (纸本)0819418528

For an automatic target recognition (ATR) technology contract, sponsored by the US Marine Corps Systems Command, and by Coastal Systems Station, Honeywell designed, mapped to Khoros, and evaluated state-of-the-art algorithms for target discrimination from an airborne platform. Honeywell's baseline approach to improve traditional algorithm robustness is to use a functional maximization approach for representations of algorithm performance as a function of image metrics and algorithm parameters. Revised ATR parameter values are established by a hillclimbing algorithm that revises the ATR algorithm parameter values in the direction of the largest gradient of the function, thus attaining improved performance for a greater variety of scenarios than those for which the system was trained. The baseline ATR algorithms implemented for this program are designed to effectively exploit spectral features to enhance target cueing reliability. An innovative approach for the mapping of three of the individual waveband images from an array of multispectral images into a feature map which obtains high target versus background contrast is discussed. Experimental results are shown for flight test imagery.

关键词： detection and tracking algorithms Automatic target recognition Land mines Mining Algorithm development Performance modeling Multispectral imaging Image processing Feature extraction Reliability

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EASY FOCUSING WITH A SWEEP FREQUENCY TARGET

EASY FOCUSING WITH A SWEEP FREQUENCY TARGET

引用

CONF ON INFRARED IMAGING SYSTEMS : DESIGN, ANALYSIS, MODELING, AND TESTING

作者： HOLST, GC MCHUGH, SW Martin Marietta Electronic Sys (United States) Santa Barbara Infrared Inc. (United States)

ISBN: (纸本)0819403601

Methods for focusing thermal imaging systems are discussed including visual inspection of resolution targets and edges, maximizing the system response to slits or periodic targets, maximizing the response at a particular spatial frequency, and maximizing the output of an edge detection algorithm. Visual inspection of a sweep frequency is found to be the most efficient method for determining focus in raster scanned systems.

关键词： Spatial frequencies Modulation transfer functions detection and tracking algorithms Edge detection Imaging systems Stars Optical inspection Systems modeling Raster graphics Target detection

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Efficient detection of Ellipses from an Image by a Guided Modified RANSAC

Efficient Detection of Ellipses from an Image by a Guided Mo...

引用

Conference on Image Processing - algorithms and Systems VII

作者： Xie, Yingdi Ohya, Jun Waseda Univ Grad Sch GITS Tokyo Japan

ISBN: (纸本)9780819474957

In this paper, we propose a novel ellipse detection method which is based on a modified RANSAC, with automatic sampling guidance from the edge orientation difference curve. Hough Transform family is one of the most popular and methods for shape detection, but the Standard Hough Transform loses its computation efficiency if the dimension of the parameter space gets high. Randomized Hough Transform, an improved version of Standard Hough Transform has difficulty in detecting shapes from complicated, cluttered scenes because of its random sampling process. As a pre-process for random selection of five pixels to be used to build the ellipse's equation, we propose a two-step algorithm: (1) region segmentation and contour detection by mean shift algorithm (2) contour splitting based on the edge orientation difference curve obtained from the contour of each region. In each contour segment obtained by step (2), 5 pixels are randomly selected and the modified RANSAC is applied to the 5 pixels so that an accurate ellipse model is obtained. Experimental result show that the proposed method can achieve high accuracies and low computation cost in detecting multiple ellipses from an image.

关键词： Image segmentation Hough transforms detection and tracking algorithms Data modeling Image processing algorithms and systems Edge detection Image processing Computer vision technology Machine vision Pattern recognition

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Physical Modeling and Performance of Spatial-Spectral Filters for CT Material Decomposition

Physical Modeling and Performance of Spatial-Spectral Filter...

引用

Conference on Medical Imaging - Physics of Medical Imaging

作者： Tivnan, Matthew Tilley, Steven, II Stayman, J. Webster Johns Hopkins Univ Dept Biomed Engn Baltimore MD 21205 USA

ISBN: (纸本)9781510625440

Material decompositionl for Imaging multiple contrast agents in a single acquisition has been made possible by spectral CT: a modality which incorporates multiple photon energy spectral sensitivities into a single data, collection. This work presents an investigation of a new approach to spectral CT which does not rely on energy-discriminating detectors or multiple X-ray Sources. Instead, a tiled pattern of K-edge filters are placed in front of the x-ray to create spatially encoded spectra data. For improved sampling, the spatial-spectral filter is moved continuously with respect to the source. A model-based material decomposition algorithm is adopted to directly reconstruct multiple material densities from projection data that is sparse in each spectral channel. Physical effects associated with the x-ray focal spot size and motion blur for the moving filter are expected to impact overall performance. In this work, those physical effects are modeled and a performance analysis is conducted. Specifically, experiments are presented with simulated focal spot widths between 0.2 mm and 4.0 mm. Additionally, filter motion blur is simulated for a linear translation speeds between 50 mm/s and 450 mm/s. The performance differential between a 0.2 mm and a 1.0 mm focal spot is less than 15% suggesting feasibility of the approach with realistic x-ray tubes. Moreover, for reasonable filter actuation speeds, higher speeds are shown to decrease (due to improved sampling) despite motion based spectral blur.

关键词： Sensors Motion models Iodine Performance modeling Data modeling Gold detection and tracking algorithms Reconstruction algorithms X-rays

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Unsupervised detection of abnormalities in medical images using salient features

Unsupervised detection of abnormalities in medical images us...

引用

Conference on Medical Imaging - Image Processing

作者： Alpert, Sharon Kisilev, Pavel IBM Res Haifa Labs Haifa Israel

ISBN: (纸本)9780819498274

In this paper we propose a new method for abnormality detection in medical images which is based on the notion of medical saliency. The proposed method is general and is suitable for a variety of tasks related to detection of: 1) lesions and microcalcifications (MCC) in mammographic images, 2) stenoses in angiographic images, 3) lesions found in magnetic resonance (MRI) images of brain. The main idea of our approach is that abnormalities manifest as rare events, that is, as salient areas compared to normal tissues. We define the notion of medical saliency by combining local patch information from the lightness channel with geometric shape local descriptors. We demonstrate the efficacy of the proposed method by applying it to various modalities, and to various abnormality detection problems. Promising results are demonstrated for detection of MCC and of masses in mammographic images, detection of stenoses in angiography images, and detection of lesions in brain MRI. We also demonstrate how the proposed automatic abnormality detection method can be combined with a system that performs supervised classification of mammogram images into benign or malignant/premalignant MCC's. We use a well known DDSM mammogram database for the experiment on MCC classification, and obtain 80% accuracy in classifying images containing premalignant MCC versus benign ones. In contrast to supervised detection methods, the proposed approach does not rely on ground truth markings, and, as such, is very attractive and applicable for big corpus image data processing.

关键词： Brain Medical imaging Angiography Magnetic resonance imaging Neuroimaging Mammography detection and tracking algorithms Tissues Databases Tumors

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Classification of false positive findings on computer aided detection of breast microcalcifications

引用

Medical Imaging 1997 Symposium - Image Processing

作者： Freedman, M Lo, SCB Artz, DS Lau, I Mun, SK GEORGETOWN UNIV MED CTR DEPT RADIOL ISIS CTR WASHINGTON DC 20007 USA

ISBN: (纸本)0819424455

False positive detections of microcalcifications by computer aided diagnosis (CADx) systems are a distraction to the radiologist and raise questions as to the eventual clinical utility of computer aided diagnosis systems. We have carefully analyzed the mammographic findings that appear in the locations of CADx detections and have counted and classified them.

关键词： Computer aided diagnosis and therapy Mammography detection and tracking algorithms Breast Computing systems Image analysis Image quality Neural networks Software

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Use of time-dependent contrast functions to discriminate between the scattering and absorption properties of abnormal regions hidden within a tissue-like phantom

引用

Conference on Optical Tomography and Spectroscopy of Tissue - Theory, Instrumentation, Model, and Human Studies II

作者： Gandjbakhche, AH Chernomordik, V Bonner, RF Hebden, JC Nossal, R National Institutes of Health (Israel) National Institutes of Health (United States) Univ. College London (United Kingdom)

ISBN: (纸本)0819423904

The success of time-resolved imaging of an abnormal site embedded in thick tissue may rely on one's ability to quantify the absorption coefficient of the target as a specific spectroscopic signature. This task is particularly complicated when the scattering properties of the target differ from those of the surrounding tissue. Using data obtained from time-resolved transillumination experiments of abnormally absorbing and differentially scattering objects embedded in a tissue-like phantom, we show how a new deconvolution algorithm enables us to quantify the optical properties of the target. The algorithm is based on a photon random walk theory that expresses different time-dependent point spread functions to calculate the diffusive and absorptive contrasts obtained in time-of-flight measurements.

关键词： Scattering Tissue optics Absorption Optical properties Tissues detection and tracking algorithms Sodium Reconstruction algorithms Sensors Point spread functions

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Optoelectronic-based face recognition versus electronic PCA-based face recognition

Optoelectronic-based face recognition versus electronic PCA-...

引用

Conference on Optical Information Systems

作者： Alsamman, A Univ New Orleans Dept Elect Engn New Orleans LA 70148 USA

ISBN: (纸本)0819450758

Face recognition based on principal component analysis (PCA) using eigenfaces is popular in face recognition markets. In this paper we present a comparison between various optoelectronic face recognition techniques and principal component analysis (PCA) based technique for face recognition. Computer simulations are used to study the effectiveness of PCA based technique especially for facial images with a high level of distortion. Results are then compared to various distortion-invariant optoelectronic face recognition algorithms such as synthetic discriminant functions (SDF), projection-slice SDF, optical correlator based neural networks, and pose estimation based correlation.

关键词： Facial recognition systems Principal component analysis Databases Optoelectronics Distortion Optical correlators Computing systems Neural networks detection and tracking algorithms Evolutionary algorithms

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