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

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Exact and approximate cone-beam reconstruction algorithms for C-arm based cone-beam CT using a two-concentric-arc source trajectory

Exact and approximate cone-beam reconstruction algorithms fo...

引用

Medical Imaging 2008 Conference

作者： Zhuang, Tingliang Zambelli, Joseph Nett, Brian Leng, Shuai Chen, Guang-Hong Univ Wisconsin Dept Med Phys Madison WI 53792 USA

ISBN: (纸本)9780819470973

In this paper, we present shift-invariant filtered backprojection (FBP) cone-beam image reconstruction algorithms for a cone-beam CT system based on a clinical C-arm gantry. The source trajectory consists of two concentric arcs which is complete in the sense that the Tuy data sufficiency condition is satisfied. This scanning geometry is referred to here as a CC geometry (each are is shaped like the letter "C"). The challenge for image reconstruction for the CC geometry is that the image volume is not well populated by the familiar doubly measured (DM) lines. Thus, the well-known DM-line based image reconstruction schemes are not appropriate for the CC geometry. Our starting point is a general reconstruction formula developed by Pack and Noo which is not dependent on the existence of DM-lines. For a specific scanning geometry, the filtering lines must be carefully selected to satisfy the Pack-Noo condition for mathematically exact reconstruction. The new points in this paper are summarized here. (1) A mathematically exact cone-beam reconstruction algorithm was formulated for the CC geometry by utilizing the Pack-Noo image reconstruction scheme. One drawback of the developed exact algorithm is that it does not solve the long-object problem. (2) We developed an approximate image reconstruction algorithm by deforming the filtering lines so that the long object problem is solved while the reconstruction accuracy is maintained. (3) In addition to numerical phantom experiments to validate the developed image reconstruction algorithms, we also validate our algorithms using physical phantom experiments on a clinical C-arm system.

关键词： Reconstruction algorithms Algorithm development Image restoration Sensors Image filtering Data acquisition detection and tracking algorithms Optical filters Computed tomography X-ray computed tomography

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POLYCHROMATIC NEUROCOMPUTING

POLYCHROMATIC NEUROCOMPUTING

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INTERNATIONAL TOPICAL MEETING ON OPTICAL COMPUTING ( OC 92 )

作者： YU, FTS YANG, XY GREGORY, DA Pennsylvania State Univ. (United States)

A polychromatic optical neuro-computer for color pattern recognition with cascaded liquid crystal televisions (LCTV) is presented. Extension of this neural net to multichannel operation is proposed and preliminary exp... 详细信息

ISBN: (纸本)0819410063

关键词： Liquid crystals Neural networks RGB color model Signal detection Optical computing detection and tracking algorithms Detector arrays Televisions Optical pattern recognition Spatial light modulators

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REAL-TIME COMPUTATIONAL NEEDS OF A MULTISENSOR FEATURE-BASED RANGE-ESTIMATION METHOD

REAL-TIME COMPUTATIONAL NEEDS OF A MULTISENSOR FEATURE-BASED...

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CONF ON SENSOR FUSION AND AEROSPACE APPLICATIONS

作者： SUORSA, RE SRIDHAR, B FONG, TW NASA Ames Research Ctr. (United States) Recom Technologies Inc. (United States)

ISBN: (纸本)0819411922

The computer vision literature describes many methods to perform obstacle detection and avoidance for autonomous or semi-autonomous vehicles. Methods may be broadly categorized into field-based techniques and feature-based techniques. Field-based techniques have the advantage of regular computational structure at every pixel throughout the image plane. Feature-based techniques are much more data driven in that computational complexity increases dramatically in regions of the image populated by features. It is widely believed that to run computer vision algorithms in real time a parallel architecture is necessary. Field-based techniques lend themselves to easy parallelization due to their regular computational needs. However, we have found that field-based methods are sensitive to noise and have traditionally been difficult to generalize to arbitrary vehicle motion. Therefore, we have sought techniques to parallelize feature-based methods. This paper describes the computational needs of a parallel feature-based range-estimation method developed by NASA Ames. Issues of processing-element performance, load balancing, and data-flow bandwidth are addressed along with a performance review of two architectures on which the feature-based method has been implemented.

关键词： Image processing detection and tracking algorithms Sensor fusion Aerospace engineering IRIS Consortium Sensors Image fusion Image sensors Silicon Visualization

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Extraction of object lines in engineering drawings

Extraction of object lines in engineering drawings

引用

Document Recognition

作者： Lai, Chan P. Kasturi, Rangachar The Pennsylvania State Univ. (United States)

ISBN: (纸本)081941476X

Classification of object lines in mechanical part drawings is a critical problem for automated conversion of drawings from paper medium to CAD databases. We describe new methods for classifying object lines. These methods include section line detection, hidden line detection, centerline detection and object line extraction. A self-supervised approach which includes a spacing estimation step and a recognition step to extract section lines is described. A general purpose algorithm that not only detects dashed lines but also classifies them based on their attributes is described. These attributes are used for classification of detected dashed lines as hidden lines or centerlines. Object line extraction facilitates intelligent interpretation of geometric objects for integration with CAD/CAM systems.

关键词： Databases Computer aided design Algorithm development detection and tracking algorithms Image segmentation System integration Surface plasmons Gallium Silicon Computer science

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Earth beacon acquisition and tracking under various illumination conditions

Earth beacon acquisition and tracking under various illumina...

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Conference on Free-Space Laser Communication Technologies XIII

作者： Marino, B Tsou, HP Yan, TY Loyola Marymount Univ Dept Elect Engn Los Angeles CA 90045 USA

ISBN: (纸本)0819439509

The use of sun-illuminated Earth images has been explored to aid in meeting the stringent pointing requirements for deep space optical downlink telemetry. It has been shown that fully illuminated Earth images provide a symmetry that easily lends to the determination of the geocenter. Since more often that not, the Earth is only partially illuminated by the sun, additional work is required to meet the pointing requirements under all illumination conditions. This paper develops an algorithm for determining the geocenter of the Earth regardless of the illumination by the sun using sub-pixel scanning and a simple thresholding technique. To complete this approach the acquisition algorithm is paired with a tracking technique based on maximum likelihood estimation. Results have indicated that the algorithm works well to locate and track the position of the Earth and, thereby, a receiving station. Results of the experiments are presented and compared with other techniques.

关键词： detection and tracking algorithms Image processing Charge-coupled devices Signal to noise ratio Algorithm development Sun Error analysis Linear filtering Mirrors Astronomical imaging

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Research on intelligent task planning technology based on multi-satellite and multi-payload

Research on intelligent task planning technology based on mu...

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2024 International Conference on Automation Control, Algorithm, and Intelligent Bionics, ACAIB 2024

作者： Zhuang, Chaoran Shi, Xiaojin Wang, Weishi Qian, Chengyuan Wang, Jingqiao Beijing China

ISBN: (纸本)9781510682597

The number of remote sensing satellites is increasing, and the types and number of payload are also increasing. User demand is also increasing, and satellite resources are still relatively tight. To study how to coordinate the joint observation of multiple satellites and multiple payloads, give full play to the overall observation benefits of remote sensing satellite resources, and meet the increasingly complex task requirements of various users, all available resources must be integrated. Realize the overall management of remote sensing satellite resources and task collaborative planning, and improve the ability of data acquisition and support through the effective integration of various resources. Research on intelligent task planning technology based on multi satellite and multi load. Through the research and construction of satellite and ground resource models, and standardized requirements and task models, the constraints of intelligent satellite task planning are realized, and the optimal scheduling under conventional planning is realized. Research and build the multi-objective optimization planning model of resource observation to improve the intelligence of task planning algorithm. Scientifically arrange satellite imaging and give full play to the efficiency of satellite use. © 2024 SPIE.

关键词： Satellites Remote sensing Satellite imaging Earth observing sensors Data acquisition detection and tracking algorithms Environmental monitoring Ocean optics Optical resolution Optical sensing

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Recognition methodology: algorithms & architecture

Recognition methodology: Algorithms & architecture

引用

Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology 1987

作者： Haralick, Robert M. Department of Electrical Engineering FT-10 University of Washington SeattleWA98195 United States

Computer recognition and inspection of objects is, in general , a complex procedure requiring a variety of kinds of steps which successively transform the iconic data to recognition information. We hypothesize that the difficulty of today's computer vision and recognition technology to be able to handle unconstrained environments is due to the fact that the existing algorithms are specialized and do not develop one or more of the necessary steps to a high enough degree. Our thesis is that there are no shortcuts. A recognition methodology must pay substantial attention to each of the following five steps: conditioning, labeling, grouping, extracting, and matching.

关键词： detection and tracking algorithms Convolution Pattern recognition Digital imaging Algorithm development Machine vision 3D image processing Prototyping Computer vision technology Inspection

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Abnormal temperature monitoring and simulation of submarine cable based on exponential characteristic 3

Abnormal temperature monitoring and simulation of submarine ...

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3rd International Conference on Electronics Technology and Artificial Intelligence, ETAI 2024

作者： Xu, Xinyu School of Information Engineering Shanghai Maritime University Shanghai201306 China

ISBN: (纸本)9781510683143

When the temperature of a submarine cable spikes unexpectedly, prompt repairs are crucial to prevent a thermal breakdown accident that could compromise production safety and result in substantial economic losses. Monitoring and diagnosing real-time temperature data of submarine cables holds significant practical engineering importance and economic value. To this end, we propose an innovative method for detecting abnormal temperature rises that leverages eigenvalue amplification. This technique effectively enhances the visibility of abnormal values, making their characteristics more pronounced. Our approach enables early detection of abnormal temperature spikes in submarine cables, ensuring a high level of accuracy in identifying temperature differences. Furthermore, our exponential characteristics-based monitoring and simulation system for submarine cables offers robust protection, meeting the stringent requirements for both accuracy and real-time monitoring. © 2024 SPIE.

关键词： detection and tracking algorithms Engineering Temperature metrology Optical fibers Optical sensing Crop monitoring Design Environmental monitoring Matrices Safety

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CONTROL OF FLEXIBLE, KINEMATICALLY REDUNDANT ROBOT MANIPULATORS

CONTROL OF FLEXIBLE, KINEMATICALLY REDUNDANT ROBOT MANIPULAT...

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CONF ON COOPERATIVE INTELLIGENT ROBOTICS IN SPACE

作者： NGUYEN, LA WALKER, ID DEFIGUEIREDO, RJP Rice Univ. (United States) Univ. of California/Irvine (United States)

ISBN: (纸本)0819404543

The use of kinematic redundancy in control algorithms to avoid singularities evade obstacles minimize joint torques manipulator kinetic energy end effector contact forces etc. . . has been among the most active research topics in the field of robotics in the past few years. However these approaches have been associated mainly with rigid manipulators where there is no unpredictable flexible motions. When dealing with flexible manipulators the flexibility of the system will cause undesired inaccuracy in end effector motion. If these manipulators are kinematically redundant their kinematic redundancy can be used to compensate for the end effector motion inaccuracy and in many cases help damp out the vibrations. This paper examines this issue and introduces new control algorithms designed to regulate the flexibility while maintaining precise tracking of the end effector trajectory. The dynamic model used is a special case of the general multi-body dynamics designed to maximize its computational efficiency.

关键词： Robotics Space robots Control systems Kinematics Fourier transforms Motion controllers Computer simulations Numerical simulations detection and tracking algorithms Motion models

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Modeling of linewidth measurement in SEMs using advanced Monte Carlo software

Modeling of linewidth measurement in SEMs using advanced Mon...

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Conference on Metrology, Inspection, and Process Control for Microlithography XX

作者： Babin, S. Borisov, S. Ivanchikov, A. Ruzavin, I. Abeam Technol Castro Valley CA USA

ISBN: (纸本)0819461954

Accurate measurement of linewidth is a critical problem in sub-100 nm semiconductor manufacturing, where required accuracy is in the range of 1 nm and below. CD-SEMs are usually used for such measurements. A cross-correlation of CD-SEMs, while demonstrating a good relative trend, is often subject to a significant absolute linewidth error, as well as the parameters of the SEM settings being used. There is no proven algorithm for edge detection in CD-SEMs. Tool manufacturers set up the edge detection voluntarily, as a rule, which is why the absolute errors in measurement occur. In this paper, we demonstrate that edge detection depends greatly on parameters of SEM settings, like beam diameter, and pattern properties, like the wall angle of a pattern. When both the signal and pattern are known, an offset for a specific SEM algorithm can be found. An algorithm for automatic edge detection in CD-SEMs can be tuned for beam parameters and the type of pattern. A SEM signal was simulated using the advanced Monte Carlo software CHARIOT, which is commercially available. Input data for the modeling was 3D microstructures and e-beam parameters. A simulated signal was then compared to a known pattern. Such a comparison allowed us to define the edge position and calibrate a SEM so that any system- and pattern-dependent errors could be removed.

关键词： Scanning electron microscopy Monte Carlo methods Edge detection detection and tracking algorithms Silicon Calibration 3D modeling Scattering Signal detection Data modeling

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