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10th IEEE International Conference on Computer Aided Design and Computer Graphics(第十届CAO/Graphics国际会议)

作者： Dong Xu Hua Li Key Laboratory of Intelligent Information Processing Key Laboratory of Computer System and Architecture National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Graduate University of Chinese

In this paper,volume models are obtained from closed surface models by an accurate voxelization method which can handle the hidden cavities. This kind of 3D binary images is then converted to gray-level images by a fast Euclidean distance transform (EDT).Moment invariants (MIs) which are invariant shape descriptors under similarity transformations,are then computed based on the gray images. Applications in shape analysis area such as principal axis determination,skeleton and medial axis extraction,and shape retrieval can be carried out base on EDT and MIs.

关键词： Shape Euclidean distance Skeleton Principal component analysis Laboratories Image converters Data mining Computed tomography Clouds Iterative closest point algorithm

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Adaptive Selection of Motion Models for Panoramic Video Coding

Adaptive Selection of Motion Models for Panoramic Video Codi...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Jiali Zheng Yanfei Shen Yongdong Zhang Guangnan Ni Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

A panoramic video is an image-based rendering (IBR) technique which provides users with a large field of view (e.g. 360 degree) on surrounding dynamic scenes. It includes not only the translational motions but also the non-translational motions, such as zooming, rotation and uneven stretching etc. This paper presents a motion compensated prediction scheme based on adaptive selection of motion models to predict the complex changes between successive frames efficiently in panoramic video coding. By performing the initial motion estimation phrase and the refined motion estimation phrase in the proposed scheme, simulated results show that the coding performance of the proposed scheme is much higher than the traditional motion compensated prediction scheme in panoramic video coding.

关键词： Video coding Predictive models Rendering (computer graphics) Layout Cameras Motion estimation Equations Image coding Video compression Laboratories

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Clustering Guided SVM for Semantic Image Retrieval

Clustering Guided SVM for Semantic Image Retrieval

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International Conference on Pervasive computing and Applications (ICPCA)

作者： Ke Gao Shou-xun Lin Yong-dong Zhang Sheng Tang Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

SVM (support vector machine) enables effective image classification for semantic image retrieval. However, how to train accurate image classifiers in high-dimensional feature space suffers from the problem of choosing proper training samples. To solve this problem, a novel approach named CGSVM (clustering guided SVM) is presented, which utilizes clustering result to select the most informative image samples to be labeled, and optimize the penalty coefficient. Experimental results show that our algorithm achieves higher search accuracy than regular SVM for semantic image retrieval.

关键词： Support vector machines Image retrieval Support vector machine classification Clustering algorithms Information retrieval Space technology Training data Laboratories Information processing Image classification

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Image Reconstruction Based on Sub-Gaussian Random Projection

Image Reconstruction Based on Sub-Gaussian Random Projection

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International Conference on Image and Graphics (ICIG)

作者： Hong Fong Quanbing Zhang Sui Wei College of Science Hefei University of Technology Hefei China Key Lab of Intelligent Computing and Signal Processing Anhui University Hefei China

In this paper, we introduce the sub-Gaussian random projection into compressed sensing (CS) theory and present two new kinds of CS measurement matrices: sparse projection matrix and very sparse projection matrix. By the tail bounds for sub-Gaussian random projection, we present the proof of how these new matrices satisfying the necessary condition for CS measurement matrix. Further, we expatiate that owe to their sparsity, new matrices greatly simplify the projection operation during images reconstruction, which greatly improves the speed of reconstruction. The results of simulated and real experiments show that with a certain number of measurements, new matrices both achieve good measurement effect and can acquire exact reconstruction by them. Last, the comparison of reconstruction results respectively adopting new matrices and Gaussian measurement matrix is conducted.

关键词： Image reconstruction Sparse matrices Compressed sensing Tail Couplings Graphics signal processing Educational institutions Linear programming Matrix decomposition

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A New Multi-objective Fully-Informed Particle Swarm Algorithm for Flexible Job-Shop Scheduling Problems

A New Multi-objective Fully-Informed Particle Swarm Algorith...

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International Conference on Computational Intelligence and Security Workshops (CISW)

作者： Zhao-hong Jia Hua-ping Chen Jun Tang Department of Information Management and Decision Science University of Science and Technology Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

A novel Pareto-based multi-objective fully-informed particle swarm algorithm (FIPS) is proposed to solve flexible job-shop problems in this paper. Firstly, the population is ranked based on Pareto optimal concept. And the neighborhood topology used in FIPS is based on the Pareto rank. Secondly, the crowding distance of individuals is computed in the same Pareto level for the secondary rank. Thirdly, addressing the problem of trapping into the local optimal, the mutation operators based on the coding mechanism are introduced into our algorithm. Finally, the performance of the proposed algorithm is demonstrated by applying it to several benchmark instances and comparing the experimental results.

关键词： Particle swarm optimization Scheduling algorithm Computational intelligence Topology Genetic mutations Ground penetrating radar Information security Processor scheduling Information management Competitive intelligence

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Hierarchical threshold technique oriented to video object segmentation

Hierarchical threshold technique oriented to video object se...

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IEEE International Symposium on intelligent signal processing and Communication Systems (ISPACS)

作者： JiaLi Zheng YongDong Zhang GuangNan Ni Key Laboratory of Intelligent Information Processing Institute of Computing Technology Graduate School of Chinese Academy of Sciences Beijing China

This paper proposed a motion vector error function to segment the objects in video sequence. The key point of the segmentation technique is how to set the appropriate threshold to distinguish the global motion region from the local motion region precisely. This paper also proposed a hierarchical threshold technique based on global motion estimation to solve this problem. Experimental results show that the proposed techniques are robust techniques which refine the set of global motion pixels hierarchically and segment the video objects effectively.

关键词： Object segmentation Motion estimation Cameras Layout Parameter estimation Image segmentation Pixel Video signal processing Laboratories Information processing

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Medical X-Ray Image Enhancement Based on Kramer's PDE Model

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Journal of Electronic Science and Technology of China 2007年第2期5卷 187-190页

作者： Yan-Fei Zhao Qing-Wei Gao De-Xiang Zhang Yi-Xiang Lu Key Lab. of Intelligent Computing and Signal Processing of MOE Anhui University. Hefei 230039 China School of Electronic Science and Technology Anhui University Hefei 230039 China

The purpose of this study is to present an application of a novel enhancement technique for enhancing medical images generated from X-rays. The method presented in this study is based on a nonlinear partial differential equation （PDE） model, Kramer＇s PDE model. The usefulness of this method is investigated by experimental results. We apply this method to a medical X-ray image. For comparison, the X-ray image is also processed using classic Perona-Malik PDE model and Catte PDE model. Although the Perona-Malik model and Catte PDE model could also enhance the image, the quality of the enhanced images is considerably inferior compared with the enhanced image using Kramer＇s PDE model. The study suggests that the Kramer＇s PDE model is capable of enhancing medical X-ray images, which will make the X-ray images more reliable.

关键词： Terms-Enhancement nonlinear partial differential equation （PDE） partial differential equation model X-ray image.

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A Novel Representation of Concept Hierarchy Based on Quotient Space Model

A Novel Representation of Concept Hierarchy Based on Quotien...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Xue-jun Li Long-shu Li Ling Zhang Yi Xu Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University of Science and Technology Hefei China School of Computer Science and Technology Anhui University of Science and Technology Hefei China

Concept hierarchies are important in many generalized data mining applications, such as multiple-level fuzzy association rule mining. Usually concept hierarchies are given by domain experts. However, it is extremely difficult and time-consuming for human experts to discover concepts and construct concept hierarchies from the domain. In literature, several representations of concept hierarchy are possible, for example tree, lattice, table, linked list, arbitrary graph etc. In this paper, we apply quotient space model to representing concept hierarchies. In contrast to others, the representation model is much more extensible and compatible. The results indicate that this technique can improve the efficiency of performing the generalization and specialization operation in concept hierarchies.

关键词： Databases Data mining Tree graphs Cities and towns Space technology Lattices Laboratories Competitive intelligence signal processing Educational technology

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Medical X-Ray Image Enhancement Based on Kramer's PDE Model

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Journal of Electronic Science and Technology 2007年第2期000卷 187-190页

作者： Y.-F.Zhao Q.-W.Gao D.-X.Zhang Y.-X.Lu Key Lab. of Intelligent Computing and Signal Processing of MOE Anhui University. Hefei 230039 China School of Electronic Science and Technology Anhui University Hefei 230039 China

The purpose of this study is to present an application of a novel enhancement technique for enhancing medical images generated from X-rays. The method presented in this study is based on a nonlinear partial differential equation (PDE) model, Kramer’s PDE model. The usefulness of this method is investigated by experimental results. We apply this method to a medical X-ray image. For comparison, the X-ray image is also processed using classic Perona-Malik PDE model and Catte PDE model. Although the Perona-Malik model and Catte PDE model could also enhance the image, the quality of the enhanced images is considerably inferior compared with the enhanced image using Kramer’s PDE model. The study suggests that the Kramer’s PDE model is capable of enhancing medical X-ray images, which will make the X-ray images more reliable.

关键词： Enhancement nonlinearpartialdifferentialequation(PDE) partialdifferentialequationmodel X-rayimage

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Distributed application integration based on agent grid intelligent platform

Distributed application integration based on agent grid inte...

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2nd International Conference on Innovative computing, Information and Control, ICICIC 2007

作者： Wang, Maoguang Shi, Zhongzhi Luo, Jiewen Zeng, Li School of Computer Science and Technology China University of Mining and Technology Xuzhou 221226 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)0769528821

Due to the existence of a large amount of legacy information systems, how to obtain the information and integrate the legacy systems is becoming more and more concerned. This paper introduces the integration pattern based on agent grid. And we propose an agent grid intelligent platform called AGrIP, which can erase information islands and integrate external systems efficiently by encapsulating the distributed application system to agents. AGrIP adopts distributed hierarchical structure, which is capable of integrating external systems to provide the users various services dynamically. AGrIP has proved itself scalable and efficient during the industry projects development and application. © 2007 IEEE.

关键词： intelligent agents

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