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Image structure adaptive gradient vector flow for active contours

Image structure adaptive gradient vector flow for active con...

引用

2009 International Conference on Information Engineering and Computer Science, ICIECS 2009

作者： Li, Kun Wang, Yuanquan Tianjin Key Lab. of Intelligent Computing and Novel Software Technology School of Computer Science Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424449941

The gradient vector flow (GVF) is an effective external force for active contours, but it's smoothness constraint doesn't take any image structure into account and the resulting diffusion equation is isotropic which would oversmooth weak edges. In this article, a novel external force named image structure adaptive gradient vector flow (ISAGVF) is proposed for active contours. The proposed ISAGVF employs certain smoothness constraint which is able to be adaptive to image structure, such that the ISAGVF snake would outperform the GVF snake in terms of noise robustness, weak edge preserving and narrow and deep concavity convergence, while possessing some other desirable properties such as enlarged capture range and insensitivity to initialization. Experiments on synthetic and real images manifest these properties of ISAGVF snake. ©2009 IEEE.

关键词： Tensors

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A wavelet-domain structure similarity for image quality assessment

A wavelet-domain structure similarity for image quality asse...

引用

2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Lixiong, Liu Yuanquan, Wang Yuwei, Wu Beijing Lab. of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing China Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin China

ISBN: (纸本)9781424441310

Recent studies have found that adoption of structure similarity index (SSIM) was successful in reflecting human visual characteristic better compared with traditional PSNR metrics. However this method shows some defects when evaluating the quality of blurred images and compressed degraded images at low bit rate. Good quality results were hardly achieved as they do not match the human vision system (HVS) well. This paper is to introduce a new image quality assessment algorithm based on wavelet-domain structure similarity (WDSSIM). The relative importance of the edge information under different scales is considered sufficiently in image quality assessment. The experimental results have demonstrated better consistency with the subjective perception for a large range of image types. ©2009 IEEE.

关键词： Image quality

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A unique multi-functional landmark for autonomous navigation

A unique multi-functional landmark for autonomous navigation

引用

5th International Conference on Natural Computation, ICNC 2009

作者： Wang, Dan Jia, Yunwei Cao, Zuoliang Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Ministry of Education China School of Mechanical Engineering Tianjin University of Technology China

ISBN: (纸本)9780769537368

To save time, improve flexibility and guarantee accuracy of the navigation system of the mobile robots, a multifunction landmark and a new navigation algorithm are proposed in this paper. With the new algorithm and landmark the mobile robots can be located by only a single landmark, and can be navigated in a large area by serial landmarks. The simple configuration and the convenient material of the landmark increased the system 's flexibility and decreased the complexity of the algorithm. From the experimental results it can be concluded that the navigation system has fast navigation speed and high navigation accuracy. © 2009 IEEE.

关键词： Navigation systems

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The earthquake probability prediction based on weighted factor coefficients of principal components

The earthquake probability prediction based on weighted fact...

引用

5th International Conference on Natural Computation, ICNC 2009

作者： Xueli, Wei Xiaofeng, Cui Chun, Jiang Xinbo, Zhou Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Earthquake Administration of Tianjin Tianjin 300201 China

ISBN: (纸本)9780769537368

Considering there are many seismicity factors with information overlap, we apply a gray generating -A generating GM model which has higher precision to mine the potential law of these factors, and apply principal component analysis(PCA) approach to reduce the dimension of these factors, choose several seismicity factors which represent most of the information that the original seismicity factors carry, by utilizing Bayes posterior probability discriminant analysis, to predict the largest magnitude for certain region and period numerically and synthetically. As an example, we predicte the annual largest magnitude for North China(30°∼ 42°E, 108°∼125°N). The application results show the practical value of this model in the medium-short-term earthquake prediction. © 2009 IEEE.

关键词： Principal component analysis

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An efficient image processing method based on web services for mobile devices

An efficient image processing method based on web services f...

引用

2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Yi, Liang Yingyuan, Xiao Jing, Huang Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China

ISBN: (纸本)9781424441310

The resource limitation of mobile devices causes the problem that the existing image processing software based on the centralized computing mode had difficulty running in mobile devices. A solution is given in the paper by adopting web service-based image processing method. For one thing, image processing tasks were distributed to service providers' service registry and service requesters. For another, what the service providers should do was only to invocate the specific image processing services provided by service providers. Consequently, web service-based solution reduces the resource consumption of mobile devices by redistributing image processing tasks. Compared with traditional methods of image processing, Web service-based image processing method has the advantages of loose coupling and component oriented and can take full advantage of the computing resources in heterogeneous network. Thus web service-based image processing method can effectively solve the resource bottle-neck that traditional image processing software had. ©2009 IEEE.

关键词： Web services

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A new neural-based market prediction computing approach

A new neural-based market prediction computing approach

引用

5th International Conference on Natural Computation, ICNC 2009

作者： Zhang, Degan Lin, Chen Li, Nqing Zhao, Dexin Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537368

A new kind of neural-based market prediction computing approach for electronic commerce has beenpresented by our research group in this paper. Our purpose is to suggest a successful and efficient prediction method of risk assessment for the clients to get substantial profits in competitive commerce markets of electronic commerce. In this paper we study the benefits of combining two layered feedforward neural networks trained by back propagation on an identical data set. In this case, network diversity was achieved by the inherent randomness associated with the back-propagation algorithm's initialization of a network's weights. By case experiments of risk assessment of electronic commerce, our technique has been tested effectively. © 2009 IEEE.

关键词： Electronic commerce

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Dynamic parameters Ant Colony Algorithm with particle swarm characteristic

Dynamic parameters Ant Colony Algorithm with particle swarm ...

引用

5th International Conference on Natural Computation, ICNC 2009

作者： Zhang, Hong-Juan Ning, Hong-Yun Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin300191 China

ISBN: (纸本)9780769537368

To improve the convergence time of Ant Colony Algorithm, avoid falling in local best and enhance the quality of solution, a novel dynamic parameters ant colony algorithm with particle swarm characteristics is proposed. Learning the multi-information instruction characteristic of Particle Swarm Optimization Algorithm, the global pheromone update rule with particle swarm characteristic is introduced to improve the directive function of pheromone and the speed of convergence. At the same time, solution multiplicity is guaranteed as far as possible. Using the function of current condition to update particle speed and position, parameters of Ant Colony Algorithm is used to reflect the current condition. Hyperbola Tangent function is imported to dynamic adjust parameters so that the relation between local search and global search could be balanced. Comparing with basic Ant Colony Algorithm, the simulation result on TSP shows that new algorithm has higher convergence speed and better solution. © 2009 IEEE.

关键词： Particle swarm optimization (PSO)

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Knowledge discovery approach based on closeness relationship of FC

Knowledge discovery approach based on closeness relationship...

引用

6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Zhang, Degan Li, Miao Zhang, Xiaoli Wang, Jinhui Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

A fuzzy clustering is one of important and valid methods to knowledge discovery. One of problems in fuzzy clustering is to determine a certain fuzzy sample classification in given limited sample space. Another is its validity, that is to say, if the sample is resemble in sample space, its fuzzy type will be resemble too. In our research, firstly, using triangle arithmetic operator and triangle transference, we extend fuzzy equivalence relationship to fuzzy closeness relationship, and cluster. Secondly, importing fuzzy coverage based on fuzzy closeness relationship, we judge resemble type of resemble sample. Thirdly, we introduce the clustering method based on fuzzy closeness relationship and fuzzy coverage. The method can overcome information more loss in fuzzy equivalence. Finally, evaluating its validity, we test its feasibility. The method above is applied to knowledge discovery for electronic commerce on Internet, we have got good result. © 2009 IEEE.

关键词： Fuzzy clustering

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An efficient web service composition approach based on improved particle swarm optimization model

An efficient web service composition approach based on impro...

引用

International Conference on Management and Service Science, MASS 2009

作者： Yi, Liang Yingyuan, Xiao Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424446391

Along with the rapid growth of the number of the available web services over the internet, the quality of services (Qos) becomes an imperative concern for service consumers and providers. How to differentiate their quality based on Qos criteria at web service level is a challenging issue. Considering that evolutionary algorithm has powerful ability of searching information, a new web service composition model under improved particle swarm optimization (IPSO) algorithm is presented in this paper. According to the non-functional attributes Qos of services, the model can select web services with optimal Qos and compose them into value-added web services. Furthermore, IPSO model not only can find the service with optimal Qos immediately but also can overcome the bottleneck of the standard PSO model. It can balance the exploitation and exploration and avoid premature convergence to some extent. As a result, web services can be invocated dynamically and be composed automatically and efficiently. The preliminary experimental results indicate that the web service composition approach based on IPSO model is applicable and feasible to the optimization of general service compositions. ©2009 IEEE.

关键词： Quality of service

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A hybrid efficient short-term traffic flow forecast technology

A hybrid efficient short-term traffic flow forecast technolo...

引用

6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Lin, Xin Wang, Xiaoye Xiao, Yingyuan Zhang, Degan Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

This paper presents a hybrid short-term traffic flow forecast technology. For the uncertainty, the short-term traffic flow forecast is complicated, and the accuracy is not high. This strategy combines the RBF neural network and ant colony clustering algorithm to forecast the traffic flow. It used ant colony clustering algorithm to get the centers of hidden layer neurons. To find the best clustering result, local search is used in ant colony algorithm. The model has strong local generalization abilities and high accuracy. The simulation experiment results illuminate that the application is fairly effective. © 2009 IEEE.

关键词： Forecasting

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