检索结果-内蒙古大学图书馆

Spring Simulation Interoperability Workshop 2007, 07 Spring SIW

作者： Yang, Qing Wang, Hong-Wei Hongliu Wan, Hu Key Laboratory for Image Processing and Intellectual Control Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 China Tongji Medicine Collage Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781604239232

A new method of management and scheduling is pointed out to solve a key problem what is management and scheduling of event in general training systems. Firstly, every event is classified depended on the kinds of federates and indicated the trigger-relation. Secondly, a XML-based training scenario through the combination of the workflow and conceptions in HLA is compiled. an event engine is designed on the basis of the training scenario, being responsible for the scheduling of events which are in and between federates. A practical example of a training system for crisis management was presented to introduce the particular process of the design and implement.

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

image Denoising Algorithm Based on Neighbouring Thresholding Classification in Wavelet Domain

Image Denoising Algorithm Based on Neighbouring Thresholding...

引用

2006 8th International Conference on Signal processing

作者： Jianhua Hou Chengyi Xiong College of Electronic Information Engineering South-Central University for Nationalities Laboratory for State Key Image Processing & Intelligence Control Huazhong University of Science & Technology

This paper proposes a new image denoising method which exploits spatial correlation among image wavelet coefficients and classification *** extending the neighbouring threshold of wavelet coefficients for 1D signal to 2D image case,each coefficient in a subband is classified as "large" or "small" category,according to its corresponding neighbouring *** strategies are implemented to the classified *** results show that although very simple,the performance of the proposed method can be competitive to the two excellent state of the art denoising algorithms with spatial adaptivity.

关键词： Gaussian image image Denoising Algorithm Based on Neighbouring Thresholding Classification in Wavelet Domain Wavelet

来源：评论

学校读者我要写书评

暂无评论

Super performance bandgap voltage reference with adjustable output for DC-DC converter

引用

Journal of China Universities of Posts and Telecommunications 2006年第1期13卷 75-78页

作者： Yu, Hua Zou, Xue-Cheng Chen, Chao-Yang Department of Electronics Science and Technology Huazhong University of Science and Technology Wuhan 430074 China State Key Laboratory for Image Processing and Intelligence Control Huazhong University of Science and Technology Wuhan 430074 China

This paper presents a super performance bandgap voltage reference for DC-DC converter with adjustable output. It generates a wide range of voltage reference ranging from sub-1 V to 1.2217 V and has a low temperature coefficient of 2.3 × 10-5/K over the temperature variation using the current feedback and resistive subdivision. In addition, the power supply rejection ration of the proposed bandgap voltage reference is 78 dB. When supply voltage varies from 2.5 V to 6 V, output VREF is 1.221685 ± 0.055 mV.

关键词： Electric converters

来源：评论

学校读者我要写书评

暂无评论

Combination of PCA and LORETA for sources analysis of ERP data: An emotional processing study

Combination of PCA and LORETA for sources analysis of ERP da...

引用

Medical Imaging 2006: Physiology, Function, and Structure from Medical images

作者： Hu, Jin Tian, Jie Yang, Lei Pan, Xiaohong Liu, Jiangang Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Science P.O.Box 2728 Beijing 100080 China Graduate University Chinese Academy of Science Beijing 100080 China State's Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University 100871 China

ISBN: (纸本)0819461865

The purpose of this paper is to study spatiotemporal patterns of neuronal activity in emotional processing by analysis of ERP data. 108 pictures (categorized as positive, negative and neutral) were presented to 24 healthy, right-handed subjects while 128-channel EEG data were recorded. An analysis of two steps was applied to the ERP data. First, principal component analysis was performed to obtain significant ERP components. Then LORETA was applied to each component to localize their brain sources. The first six principal components were extracted, each of which showed different spatiotemporal patterns of neuronal activity. The results agree with other emotional study by fMRI or PET. The combination of PCA and LORETA can be used to analyze spatiotemporal patterns of ERP data in emotional processing.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Rapid Multi-modality preRegistration based on SIFT descriptor

Rapid Multi-modality preRegistration based on SIFT descripto...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Jian Chen Jie Tian Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences China

This paper describes the scale invariant feature transform (SIFT) method for rapid preregistration of medical image. This technique originates from Lowe's method wherein preregistration is achieved by matching the corresponding keypoints between two images. The computational complexity has been reduced when we applied SIFT preregistration method before refined registration due to its O(n) exponential calculations. The features of SIFT are highly distinctive and invariant to image scaling and rotation, and partially invariant to change in illumination and contrast, it is robust and repeatable for cursorily matching two images. We also altered the descriptor so our method can deal with multimodality preregistration

关键词： Biomedical imaging Lighting Robustness image registration Computer vision image analysis Histograms Cities and towns USA Councils Computational complexity

来源：评论

学校读者我要写书评

暂无评论

Multi-modal Medical image Registration Based on Adaptive Combination of Intensity and Gradient Field Mutual Information

Multi-modal Medical Image Registration Based on Adaptive Com...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Jiangang Liu Jie Tian Yakang Dai Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences China

Mutual information (MI) is an effective criterion for multi-modal image registration. However the traditional MI function only includes intensity information of images and lacks sufficient spatial information to accurately measure the degree of alignment of two images, and besides, it is apt to be influenced by intensity interpolation, therefore presents many local maxima which frequently lead to misregistration. Our paper proposes a criterion of adaptive combination of intensity and gradient field mutual information (ACMI). Unlike the intensity MI computed from two original images, the gradient field MI of two images is calculated from their gradient code maps (GCM) constructed by coding the gradient field information of corresponding original image. Because of their complementary properties, these two MI functions are combined to form ACMI by a nonlinear weight function which can be adaptively regulated according to their performances and make the better dominant in the combination. Experimental results demonstrate that the ACMI outperforms the traditional MI and furthermore the former is much less sensitive than the latter to the reduction of resolution or overlapped region of images

关键词： Biomedical imaging image registration Mutual information image resolution Entropy Interpolation Biomedical image processing Cities and towns USA Councils image coding

来源：评论

学校读者我要写书评

暂无评论

TARGET RECOGNITION USING BAYESIAN DATA FUSION METHOD

TARGET RECOGNITION USING BAYESIAN DATA FUSION METHOD

引用

2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： YU-QIU SUN JIN-WEN TIAN JIAN LIU School of Information and Mathematics Yangtze University Jingzhou 434023 China State Education Co State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute fo State Education Commission Key Laboratory for Image Processing and Intelligent Control Dept.of Elec

Multisensor information plays an important pole in the target recognition and other application fields. Fusion performance is tightly depended on the fusion level selectes and the approach used. Feature level fusion is a potential and difficult fusion level. Bayesian fusion method is an important theory in feature level. A new method is presented to fuse infrared images and recognize object in the paper. Firstly,Bayesian principles, fusion mode and recognition decision function are described. Then, aiming at the features of mid-wave infrared image and long-wave infrared image, we use Bayesian probability to fuse them. Last, recognize target and background obtained with training and test pattern vectors. The experiment results show stability and feasibility of the fusion recognition using Bayesian decision theory in infrared image.

关键词： Bayesian decision data fusion target recognition infrared images

来源：评论

学校读者我要写书评

暂无评论

Dualband Infrared images Target Detection Algorithm Based on Multiscale Morphology

Dualband Infrared Images Target Detection Algorithm Based on...

引用

2006 8th International Conference on Signal processing

作者： Yuqiu Sun Jinwen Tian Jian Liu School of Information and Mathematics Yangtze University State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial IntelligenceHuazhong University of Science and Technology

According to the features of mid-wave and long-wave infrared images,they are decomposed into morphology pyramid respectively based on the new multiscale mathematical morphology filters proposed in the *** features such as local maximum gray level and average gradient strength of every image are extracted at each level of morphology *** dualband infrared images based on fusion rule put forward in the paper,and then reconstruct original image and detect target using contrast threshold *** experiment results show that dualband infrared images target detection algorithm based on multiscale morphology algorithm is better than use mid-wave or long-wave infrared images detect targets alone.

关键词： image Dualband Infrared images Target Detection Algorithm Based on Multiscale Morphology Target

来源：评论

学校读者我要写书评

暂无评论

A DSP/FPGA - Based Parallel Architecture for Real-time image processing

A DSP/FPGA - Based Parallel Architecture for Real-time Image...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Luxin Yan Tianxu Zhang Sheng Zhong Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

A DSP/FPGA-based parallel architecture oriented to real-time image processing applications is presented. The architecture is structured with high performance DSPs interconnected by FPGA. Within FPGA a FIFO interconnection network and the specific data communication protocol are implemented, which interconnect 3 DSPs (TMS320C6414) effectively. The measured performances in the prototype with the proposed parallel architecture, including inter-DSP data communication performance and system computing capacity, show high data transfer bandwidth (up to 400 Mbytes/s) with low latency as well as high image processing performance, which achieve a good balance for parallel image processing

关键词： Digital signal processing Field programmable gate arrays Parallel architectures image processing Data communication Computer architecture Multiprocessor interconnection networks Protocols Performance evaluation Prototypes

来源：评论

学校读者我要写书评

暂无评论

image Denoising Algorithm Based on Neighbouring Thresholding Classification in Wavelet Domain

Image Denoising Algorithm Based on Neighbouring Thresholding...

引用

International Conference on Signal processing Proceedings (ICSP)

作者： Jianhua Hou Chengyi Xiong Laboratory for State Key Image Processing & Intelligence Control Huazhong University of Science and Technology Wuhan China College of Electronic Information Engineering South Central University of Nationalities Wuhan China

This paper proposes a new image denoising method which exploits spatial correlation among image wavelet coefficients and classification technique. By extending the neighbouring threshold of wavelet coefficients for 1D signal to 2D image case, each coefficient in a subband is classified as "large" or "small" category, according to its corresponding neighbouring threshold. Different strategies are implemented to the classified coefficients. Simulation results show that although very simple, the performance of the proposed method can be competitive to the two excellent state of the art denoising algorithms with spatial adaptivity

关键词： image denoising Wavelet domain Wavelet coefficients Noise reduction Additive white noise image processing Wavelet transforms Clustering algorithms Random variables Maximum likelihood estimation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：