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检索条件"主题词=Algorithm Development"

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Simultaneous correction of limited-angular-range and beam-hardening artifacts in dual-energy CT

Simultaneous correction of limited-angular-range and beam-ha...

引用

Conference on Medical Imaging - Physics of Medical Imaging

作者： Chen, Buxin Zhang, Zheng Xia, Dan Sidky, Emil Y. Pan, Xiaochuan Univ Chicago Dept Radiol Chicago IL 60637 USA Univ Chicago Dept Radiat & Cellular Oncol Chicago IL 60637 USA

ISBN: (数字)9781510649385

ISBN: (纸本)9781510649385;9781510649378

Dual-energy CT (DECT) with limited-angular-range (LAR) data is of interest, as it could potentially reduce radiation dose and scanning time and avoid collision of the moving gantry with the imaged subject. In DECT with LAR data, images suffer from LAR and beam-hardening (BH) artifacts. In this work, we investigate the simultaneous correction of LAR and BH artifacts for DECT with LAR data. Under a scanning configuration with overlapping arcs of low- and high-kVp spectra, data are generated from a digital suitcase phantom. A data-domain decomposition method is used to correct for the BH artifacts first, while basis images are reconstructed from the decomposed basis sinograms of LAR by use of the previously developed directional-total-variation (DTV) algorithm to correct for the LAR artifacts. Visual inspection of the monochromatic images and quantitative analysis of estimated atomic numbers suggest that the simultaneous correction of BH and LAR artifacts in DECT can effectively reduce, and almost eliminate, BH and LAR artifacts in monochromatic images from data of LAR as low as 30 degrees, and also yield accurately estimated atomic numbers that are almost numerically identical to the reference values from the full-angular-range data of 360 degrees.

关键词： Data corrections Data modeling algorithm development Reconstruction algorithms X-rays Computed tomography CT reconstruction Dual energy imaging

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Automatic registration of sequential ladar imagery

Automatic registration of sequential ladar imagery

引用

11th Conference on Automatic Target Recognition

作者： Van Nevel, AJ USN Air Warfare Ctr China Lake CA 93555 USA

ISBN: (纸本)0819440744

In this work we present an algorithm used to automatically register a sequence of ladar images taken from a sensor flying a known flight path. The registration is performed with no human operator intervention. The resulting mosaic is accurate to one pixel. The algorithmic approach was developed in such a way to allow for near real time processing. The initial method can be extended to registration of multiple views of a scene, with four degrees of freedom (translation and in plane rotation). In this work we will restrict ourselves to rigid body transformations. The registered mosaic is an important step in geolocation using a reference digital elevation map, and will be explored in future work.

关键词： LIDAR Image registration Sensors algorithm development 3D image processing 3D metrology Defense technologies Feature extraction Visualization Warfare

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Real-time multispectral video registration

Real-time multispectral video registration

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Conference on Detection and Remediation Technologies for Mines and Minelike Targets IX

作者： Crosby, F USN Surface Warfare Ctr Dahlgren Div Panama City FL USA

ISBN: (纸本)0819453382

Registering video imagery in real-time is a demanding process. Multispectral imagery adds complexity due to the variances between different bands. This paper demonstrates a process that registers airborne multispectral imagery at a rate of thirty frames per second. It can create both mosaics and multispectral sets from a camera that captures a cycle of spectral bands with each spectral band in a separate video frame. A series of phase correlation measurements provides subpixel accuracy. Roll, pitch and yaw variances are corrected with complex polynomial interpolation.

关键词： Image registration Video Multispectral imaging Simulation of CCA and DLA aggregates algorithm development Image processing Vegetation Cameras Video processing Fourier transforms

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INSPECTION OF TIRE TREAD DEFECTS USING IMAGE-PROCESSING AND PATTERN-RECOGNITION TECHNIQUES

INSPECTION OF TIRE TREAD DEFECTS USING IMAGE-PROCESSING AND ...

引用

Conference on Vision, Sensors, and Control for Automated Manufacturing Systems

作者： CHEN, P SHUBINSKY, G JAN, KH CHEN, CA SIDLA, O POLZLEITNER, W NORTHWESTERN UNIV BIRLEVANSTONIL 60201

ISBN: (纸本)0819413283

An image acquisition and processing algorithm for inspection of tire treads has been developed. The tire treads are flat strips of black rubber material used as the main component in retreading automobile tires. These treads have a complex molded design on one side (DESIGN SIDE) and a flat surface on the other side. The inspection of the Design Side of the tread is one of the key operations in the tread fabrication process impacting quality and consistency of the final product. This paper will discuss development of the main optical inspection algorithms utilized in the system design. The algorithms described in this paper were tested in the laboratory prototype of the inspection system and will be implemented in the final production system.

关键词： Inspection algorithm development Detection and tracking algorithms Image processing Databases Image acquisition Defect detection Defect inspection Pattern recognition Prototyping

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Fingerprint image enhancement algorithm based on AM-FM model

Fingerprint image enhancement algorithm based on AM-FM model

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2nd International Conference on Image and Graphics

作者： Zhang, WW Wang, YS Chinese Acad Sci Natl Lab Pattern Recognit Inst Automat Beijing 100080 Peoples R China

ISBN: (纸本)0819446564

Fingerprint enhancement is a key issue in fingerprint minutiae extraction due to various image qualities. Most of exist fingerprint enhancement algorithms need to estimate the ridge orient and ridge distance, which are used to design the enhancement filter. However ridge distance estimation is a rather difficult task due to the fingerprint image quality and singularity, therefore, the ridge distance estimate usually fails in those case and leads to enhancement algorithm failed. In this paper, we propose an AM-FM based fingerprint image enhancement algorithm, which uses a novel Dominate Component Analysis (DCA) technique to estimate the dominate component, and uses band pass filter to enhance those component rather than directly estimate the ridge distance, ridge orientation. Experiment results show that our enhancement algorithm leads to significant image quality improvement as well as the system efficient.

关键词： Image enhancement Image filtering Image quality Image processing algorithms and systems Image segmentation Linear filtering algorithm development Image processing Detection and tracking algorithms Fingerprint recognition

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Enhancement of satellite VLBI tracking system with capability of correlator model parameters prediction

Enhancement of satellite VLBI tracking system with capabilit...

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International Conference on Space Information Technology 2009

作者： Shu Feng-chun Yu Yun Zheng Wei-min Zhang Xiu-zhong Chinese Acad Sci Shanghai Astron Observ Shanghai 200030 Peoples R China

ISBN: (纸本)9780819480798

Chinese VLBI Network has been successfully applied for the tracking of the earth satellite Tance-1, the lunar satellites Smart-1 and Chang'E-1. However, in the case that the orbit of the satellite has the large predicted errors, the correlator model will not be precise enough that the tracking system can not produce good fringes and VLBI observables. Based on the blind fringe-searching results by taking advantages of satellite telemetry signals, we developed an algorithm to predict correlator model parameters. In the process of model parameters prediction, the model delay polynomials are calculated from the predicted orbit, followed by the comparisons with delays obtained from the blind fringe-searching results. The delayed differences which vary much slower and smaller than the model delay is then used to form the observation equation, and finally the correction of the model parameters are predicted with the least square method. The algorithm has been implemented in the software of correlation sub-system, which worked smoothly and successfully in the real time VLBI tracking of Chang'E-1 satellite.

关键词： Satellites Optical correlators Detection and tracking algorithms algorithm development Data modeling Wavefronts Process modeling Astronomy Interferometry Motion models

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IMPROVED BLOCK MATCHING algorithm CONSIDERING EDGE COMPONENTS

IMPROVED BLOCK MATCHING ALGORITHM CONSIDERING EDGE COMPONENT...

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CONF ON APPLICATIONS OF DIGITAL IMAGE PROCESSING 13

作者： KIM, JT JOO, CH CHOI, JS Chung-Ang Univ. (South Korea)

ISBN: (纸本)0819404101

This paper presents an improved algorithm for motion compensated image coding. The algorithm can be appied to videophone or video-conferencing. Background detection is used to reduce the bit rate by eliminating the motion information of the block. For a better estimation the object motion some of the blocks which include edge information are divided further into several subblocks according to the edge components. The algorithm shows the improvement of signal -to-noise ratio in the range of 1. 57-5. 57 dB compared to the other existing algorithms. The algorithm also shows the stable behavior for the abrupt movement as a result of the explicit usage of the edge information in the motion estimation.

关键词： Motion estimation Image processing Digital image processing Signal to noise ratio algorithm development Image compression Image quality Computer simulations Quantization Tellurium

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DATA FUSION THROUGH SIMULATED ANNEALING OF REGISTERED RANGE AND REFLECTANCE IMAGES

DATA FUSION THROUGH SIMULATED ANNEALING OF REGISTERED RANGE ...

引用

CONF ON SENSOR FUSION AND AEROSPACE APPLICATIONS

作者： BECKERMAN, M SWEENEY, FJ Oak Ridge National Lab. (United States)

ISBN: (纸本)0819411922

In this paper we present results of a study of registered range and reflectance images acquired using a prototype amplitude-modulated cw laser radar. Ranging devices such as laser radars represent new technologies which are being applied in aerospace, nuclear and other hazardous environments where remote inspections, 3D identifications, and measurements are required. However, data acquired using devices of this type may contain non-stationary, signal- dependent noise, range-reflectance crosstalk, and low-reflectance range artifacts. Low level fusion algorithms play an essential role in achieving reliable performance by handling the complex noise, systematic errors, and artifacts. The objective of our study is the development of a stochastic fusion algorithm which takes as its input the registered image pair and produces as its output a reliable description of the underlying physical scene in terms of locally smooth surfaces separated by well-defined depth discontinuities. To construct the algorithm we model each image as a set of coupled Markov random fields representing pixel and several orders of line processes. Within this framework we (i) impose local smoothness constraints, introducing a simple linearity property in place of the usual sums over clique potentials; (ii) fuse the range and reflectance images through line process couplings; and (iii) use nonstationary, signal- dependent variances, adaptive thresholding, and a form of Markov natural selection. We show that the resulting algorithm yields reliable results even in worst-case scenarios.

关键词： Reflectivity Image fusion Fusion energy Image processing Sensor fusion Aerospace engineering Data fusion algorithm development LIDAR algorithms

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Building a million beacon map

Building a million beacon map

引用

Sensor Fusion and Decentralized Control in Robotic Systems IV Conference

作者： Julier, SJ Uhlmann, JK IDAK Ind Jefferson City MO 65109 USA

ISBN: (纸本)0819442992

Many future missions for mobile robots demand multi-robot systems which are capable of operating in large environments for long periods of time. A critical capability is that each robot must be able to localise itself. However, GPS cannot be used in many environments (such as within city streets, under water, indoors, beneath foliage or extra-terrestrial robotic missions) where mobile robots are likely to become commonplace. A widely researched alternative is Simultaneous Localization and Map Building (SLAM): the vehicle constructs a map and, concurrently, estimates its own position. In this paper we consider the problem of building and maintaining an extremely large map (of one million beacons). We describe a fully distributed, highly scaleable SLAM algorithm which is based on distributed data fusion systems. A central map is maintained in global coordinates using the Split Covariance Intersection (SCI) algorithm. Relative and local maps are run independently of the central map and their estimates are periodically fused with the central map.

关键词： Filtering (signal processing) Mobile robots Data fusion algorithm development Process modeling Robotic systems Sensors Distributed computing Global Positioning System Robotics

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STAR-TRACKER BASED, ALL-SKY, AUTONOMOUS ATTITUDE DETERMINATION

STAR-TRACKER BASED, ALL-SKY, AUTONOMOUS ATTITUDE DETERMINATI...

引用

1ST CONF ON SPACE GUIDANCE, CONTROL, AND TRACKING

作者： DEANTONIO, L UDOMKESMALEE, S ALEXANDER, J BLUE, R DENNISON, E SEVASTON, G SCHOLL, M Jet Propulsion Lab. (United States)

ISBN: (纸本)081941185X

An automatic star identification program, which has previously been demonstrated only in computer simulation, has been integrated and tested with the tracker test lab prototype star tracker at Table Mountain Observatory. Thirteen of sixteen sky frames were matched correctly with no a priori attitude knowledge. The cause of failure in the frames that failed was determined to be algorithmic, and the flaws in the algorithm causing the failure were identified. The methodology of both Table Mountain Observatory test runs and computer simulated test runs are described, as well as results and recommendations.

关键词： Stars Detection and tracking algorithms Tolerancing Monte Carlo methods Observatories Computer simulations algorithm development Charge-coupled devices Calibration Prototyping

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