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IEEE International Conference on Mechatronics and Automation

作者： Guoliang Tang Jiexin Pu Zhongmin Cai Xin-han Huang School of Information Technology Henan University of Traditional Chinese Medicine Zhengzhou China Department of Computer Application Henan Business College Zhengzhou China Institute of Electric Information Engineering Henan University of Science and Technology Luoyang China Department of Control Science & Engineering Huazhong University of Science and Technology Wuhan China

A daytime and nighttime color image fusion method based on IHS transform and Multi-Wavelet transform is presented. The method can automatically merge images of a scene captured under different illumination and can be used for practical purposes. Specifically, the fused image can give more information of the context of night-time traffic videos, which makes them easier to be understood. The context is automatically captured by a camera in a fixed-position during daytime and then is fused into a nighttime image of the same scene. The advantages of this method are that it preserves the important local perceptual cues and it can avoid the problems with traditional methods such as aliasing, ghosting and haloing.

关键词： Pixel Image color analysis Wavelet transforms Image fusion Color Aerospace electronics

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Optimization of Image Fusion using Genetic Algorithms and Discrete Wavelet Transform

Optimization of Image Fusion using Genetic Algorithms and Di...

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Chaunté W. Lacewell Mohamed Gebril Ruben Buaba Abdollah Homaifar Department of Electrical and Computer Engineering Autonomous Control and Information Technology Center NOAA ISET Cooperative Science Center North Carolina Agriculture and Technical State University Greensboro NC USA

Image fusion is the process of combining the most relevant information from multiple source images to obtain an accurate fused image. In this paper, we want to fuse visual and thermal satellite images. In order to provide enhanced information, we have investigated techniques of image fusion to obtain the most accurate information. This paper presents a technique which will produce an accurate fused image using discrete wavelet transform (DWT) for feature extraction and using Genetic Algorithms (GAs) to get the more optimized combined image. The performance of the proposed image fusion scheme is evaluated with mutual information (MI), root mean square error (RMSE), and it is also compared to the fused image that is generated by using Pixel Level GA based Image Fusion (PLGA_IF) and Discrete Wavelet Transform based Image Fusion (DWT_IF) techniques. Simulation results conducted with DWT and GA show that the proposed method outperforms the existing image fusion algorithms.

关键词： Discrete wavelet transforms Image fusion Gallium Genetics Satellites Search problems

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Sensor data fusion using fuzzy control for VOR-based vision tracking system

Sensor data fusion using fuzzy control for VOR-based vision ...

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2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Hyun-il Kwon Jaehong Park Wonsang Hwang Jong-hyeon Kim Chang-hun Lee M. Latif Anjum Kwang-soo Kim Dong-il Cho Automation and Systems Research Institute and School of Electrical Engineering and Computer Science Inter-University Semiconductor Research Center Seoul South Korea Department of Control and Instrumentation Engineering Hanbat National University Daejeon South Korea

This paper presents a vision tracking system to achieve high recognition performance under dynamic circumstances, using a fuzzy logic controller. The main concept of the proposed system is based on the vestibulo-ocular reflex (VOR) and the opto-kinetic reflex (OKR) of the human eye. To realize the VOR concept, MEMS inertial sensors and encoders are used for robot motion detection. This concept turns the camera towards a selected target, counteracting the robot motion. Based on the OKR concept, the targeting errors are periodically compensated, using vision information. The fuzzy logic controller uses sensor data fusion to detect slip or collision occurrences. To calculate a heading angle of the camera accurately, the output of the fuzzy logic controller and the vision information from the camera are combined, using an extended Kalman filter. The proposed vision tracking system is implemented in a mobile robot and evaluated experimentally. The experimental results are obtained as the tracking and the recognition success rate using a mobile robot. The developed system achieved the excellent tracking and recognition performance during slip or collision occurrences under dynamic circumstances.

关键词： Cameras Mobile robots Robot vision systems Machine vision Fuzzy logic

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Robust dynamical network reconstruction

Robust dynamical network reconstruction

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IEEE Conference on Decision and control

作者： Ye Yuan Guy-Bart Stan Sean Warnick Jorge Gonçalves Control Group Department of Engineering University of Cambridge UK Department of BioEngineering and the Centre of Synthetic Biology and Innovation Imperial College London UK Information and Decision Algorithms Laboratories Computer Science Department Brigham Young University USA

ISBN: (纸本)9781424477456

Motivated by biological applications, this paper addresses the problem of network reconstruction from data. Previous work has shown necessary and sufficient conditions for network reconstruction of noise-free LTI systems. This paper assumes that the conditions for network reconstruction have been met but here we additionally take into account noise and unmodelled dynamics (including nonlinearities). Algorithms are therefore proposed to reconstruct dynamical (Boolean) network structure from time-series (steady-state) data respectively in presence of noise and nonlinearities. In order to identify the network structure that generated the data, we compute the smallest distances between the measured data and the data that would have been generated by particular Boolean structures. Information criteria and optimisation technique balancing such distance and model complexity are introduced to search for the true structure. We conclude with biologically-inspired network reconstruction examples which include noise and nonlinearities.

关键词： Noise Transfer functions Steady-state Biology Noise measurement Uncertainty Optimization

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A statistical shape model using 2D-principal component analysis from few medical samples and its evaluation

A statistical shape model using 2D-principal component analy...

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International Conference on Software engineering and Data Mining (SEDM)

作者： Tomoko Tateyama Taishi Tanaka Shinya Kohara Amir Hossein Foruzan Akira Furukawa Yen-Wei Chen Intelligent Image Processing Laboratory College of Information Science and Engineering Ritsumeikan University Shiga Japan Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Department of Radiology Shiga University of Medical Science Shiga Japan

ISBN: (纸本)9781424473243;9788988678220;9788988678213

Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with good generalization even using fewer samples.

关键词： Biomedical imaging Shape control Biomedical engineering Principal component analysis Liver Information analysis Educational institutions Azimuth Covariance matrix Image analysis

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Novel Design of Interactive Caption and Recognition Postures within the Wearable and Non-Vision System over Wireless Sensor Network

Novel Design of Interactive Caption and Recognition Postures...

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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： W.T. Huang Chao-Nan Hung Chiu-Ching Tuan Chin-Hsing Chen Yuan-Jen Chang You-Yin Chen Department of Computer Science and Information Engineering Minghsin University of Science and Technology Taiwan R.O.C. Department of Graduate Institute of Computer and Communication Engineering National Taipei University of Technology Taiwan Department of Management Information Systems Central Taiwan University of Science and Technology Taiwan Dept. of Electr. & Control Eng. Nat. Chiao Tung Univ. Hsinchu Taiwan

In this study, we design and present the novel wearable system with the interactive posture caption and recognition functions based on the non-vision over the ZigBee wireless sensor network (ZigBee-WSN). There are two type sensors, 3-axis accelerometer and clip type, to be employed in our wearable system. These sensors are arranged on user's four limbs such that the posture information can be gathered by them. Then, the posture information is transmitted to the data-controlling center over ZigBee-WSN. Finally, this center can analyze and distinguish various postures by our proposed algorithm through the friend user's interface to express. Our presented wearable system can distinguish out 28 kinds of hand postures and 13 kinds of leg postures altogether. Moreover, under our presented ZigBee-WSN system with small size, low-power consumption, and high-reliability characteristics, the data-controlling center can simultaneously tele-monitor the real-time body interactive postures of 8 persons, when the transmitting distance is less than 18 M and the package correct transmitted rate is more than 97.5%.

关键词： Wireless sensor networks Wearable sensors ZigBee Sensor systems Accelerometers Algorithm design and analysis User interfaces Leg Real time systems Packaging

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STD Approach for Simulation, control and Visualization of Color-sorting Machine

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IFAC Proceedings Volumes 2010年第24期43卷 276-279页

作者： Stepan Ozana Zdenek Slanina Martin Pies VSB-Technical University of Ostrava Faculty of Electrical Engineering and Computer Science Department of Measurement and Control Ostrava-Poruba 17.listopadu 15 Czech Republic Stepan.Ozana@vsb.cz

The paper deals with simulation, control and visualization of color-sorting machine. It is based on Matlab family products. In particular, Matlab R2007b and Simulink as a general simulation environment, with Stateflow to simulate STD-based models. Virtual Reality Toolbox for 3D visualization and Real Time Toolbox for connection between simulation and real world. Using Tagaki-Sugeno method, expert fuzzy system is designed for color detection which is most crucial part of the project. Physical model of color-sorting machine was developed at the laboratory of department of Measurement and control. Because of complexity of the system it can be integrated in the lessons of Image Processing and control systems.

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A Hierarchical Image Annotation Method Based on SVM and Semi-supervised EM

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Acta Automatica Sinica 2010年第7期36卷 960-967页

作者： Yan-Yu Gao Yi-Xin YIN Takashi UOZUMI School of Information Engineering University of Science and Technology Beijing Beijing 100083 P. R. China Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing 100083 P. R. China Department of Computer Science and Systems Engineering Muroran Institute of Technology Muroran 050-8585 Japan

Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has been regarded as a difficult and challenging problem to machines. In this paper, we present a hierarchical annotation scheme considering that generally human s visual identification to a scenery object is a rough-to-fine hierarchical process. First, the input image is segmented into multiple regions and each segmented region is roughly labeled with a general keyword using the multi-classification support vector machine. Since the results of rough annotation affect fine annotation directly, we construct the statistical contextual relationship to revise the improper labels and improve the accuracy of rough annotation. To obtain reasonable fine annotation for those roughly classified regions, we propose an active semi-supervised expectation-maximization algorithm, which can not only find the representative pattern of each fine class but also classify the roughly labeled regions into corresponded fine classes. Finally, the contextual relationship is applied again to revise the improper fine labels. To illustrate the effectiveness of the presented approaches, a prototype image annotation system is developed, the preliminary results of which showed that the hierarchical annotation scheme is effective.

关键词： Hierarchical image annotation support vector machine (SVM) semi-supervised expectation-maximization coexistence relative location relationship

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Net-in-Net: Interaction Modeling for Smart Community Cyber-Physical System

Net-in-Net: Interaction Modeling for Smart Community Cyber-P...

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Longhua Ma Jun Yao Ming Xu Tengkai Yuan Meng Shao School of Aeronautics and Astronautics University of Zhejiang Hangzhou China Department of Control Science and Engineering University of Zhejiang Hangzhou China Computer Centre Hangzhou First People's Hospital Hangzhou China

Cyber-physical system (CPS) integrates physics with Internet to provide a timely, confidential and efficient interaction of physical appliances with people. However, as a CPS Application, Smart Home still has difficulties in building a centralized interaction for remote monitoring. The paper presents the interaction model of Smart Community Cyber-Physical System (SCCPS) with the name Net-in-Net. The proposed model interaction is organized as a Wireless Sensor Network with Zigbee and GPRS technologies. Furthermore, B/S and C/S mixed mode is used as the architecture of remote interaction. After that a Cyber Protocol of application layer is proposed. Such model is supposed to provide a smart home interaction of high Security, reliability, stability and timeliness.

关键词： Conferences

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Design and Implementation of a Wireless Sensor Network for Smart Homes

Design and Implementation of a Wireless Sensor Network for S...

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Ming Xu Longhua Ma Feng Xia Tengkai Yuan Jixin Qian Meng Shao Department of Control Science and Engineering University of Zhejiang Hangzhou China School of Software Dalian University of Technology Dalian China Computer Centre Hangzhou First people's Hospital Hangzhou China

Wireless sensor networks (WSNs) have become indispensable to the realization of smart homes. The objective of this paper is to develop such a WSN that can be used to construct smart home systems. The focus is on the design and implementation of the wireless sensor node and the coordinator based on ZigBee technology. A monitoring system is built by taking advantage of the GPRS network. To support multi-hop communications, an improved routing algorithm based on the Dijkstra algorithm is presented. Preliminary simulations have been conducted to evaluate the performance of the algorithm.

关键词： Conferences

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