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A Method for Range Image Registration via Neural Network and ICP Algorithm

2004 International Symposium on Distributed Computing and Applications to Business, Engineering and Science

作者： Jin WU~(1 2) Bei-bei XIA~1 Jian LIU~2 Jin-wen TIAN~2 1 College of Information Science and Engineering Wuhan University of Science and Technology Wuhan Hubei 430081 china 2 institute for pattern recognition and artificial intelligence Huazhong University of Science and Technology Wuhan Hubei 430074 china

＜正＞In recent years,digital watermarking techniques have been proposed to protect the copyright of multimedia data. Different watermarking schemes have been suggested for images,while there is little discussion about binary image. Basing on the analysis of the principle of digital watermarking and a spatial domain algorithm,we propose a watermarking algorithm--the discrete cosine transforms （DCT） to realize the authentication of binary *** experiment results show that the DCT algorithm is feasible to binary *** with the spatial domain algorithm,the watermarked image by the DCT almost has no distortions and is robust to common signal distortions, including geometric manipulations.

关键词： Digital watermarking Binary image DCT Authentication Robust Multimedia Communication

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Wuhan University Journal of Natural Sciences 2010年第5期15卷 398-402页

作者： LI Qingguang,GAO Cen,WU Xianfeng,LI Dehua institute for pattern recognition and artificial intelligence,Huazhong University of Science and Technology,Wuhan 430074,Hubei,china institute for pattern recognition and artificial intelligence Huazhong University of Science and Technology Wuhan Hubei China

In this paper,a new integrated registration algorithm based on neural network and ICP（iterative closest point） algorithm is presented.A coarse registration process is implemented with neural network,and then further optimized by ICP *** corresponding point pairs are found according to the target points＇ curvature and color *** distance,which reflects the scattering degree of point data,is employed to define the closest distance and the closest *** results of the experiment show that our algorithm has better feasibility,validity and efficiency than the traditional ICP method.

关键词： registration range image neural network iterative closest point

Multi-spectral image fusion method based on two channels non-separable wavelets

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Science in china(Series F) 2008年第12期51卷 2022-2032页

作者： LIU Bin1,2 & PENG JiaXiong3 1 School of Mathematics and Computer Science, Hubei University, Wuhan 430062, china 2 Key Laboratory of Applied Mathematics of Hubei Province, Wuhan 430062, china 3 institute of Image recognition and artificial intelligence, Huazhong University of Science and Technology, Wuhan 430074, china 1. School of Mathematics and Computer Science Hubei University Wuhan 430062 China 2. Key Laboratory of Applied Mathematics of Hubei Province Wuhan 430062 China 3. institute of Image recognition and artificial intelligence Huazhong University of Science and Technology Wuhan 430074 China

A construction method of two channels non-separable wavelets filter bank which dilation matrix is [1, 1; 1,-1] and its application in the fusion of multi-spectral image are presented. Many 4×4 filter banks are designed. The multi-spectral image fusion algorithm based on this kind of wavelet is proposed. Using this filter bank, multi-resolution wavelet decomposition of the intensity of multi-spectral image and panchromatic image is performed, and the two low-frequency components of the intensity and the panchromatic image are merged by using a tradeoff parameter. The experiment results show that this method is good in the preservation of spectral quality and high spatial resolution information. Its performance in preserving spectral quality and high spatial information is better than the fusion method based on DWFT and IHS. When the parameter t is closed to 1, the fused image can obtain rich spectral information from the original MS image. The amount of computation reduced to only half of the fusion method based on four channels wavelet transform.

关键词： image fusion non-separable wavelets multi-spectral image panchromatic image

Multispectral image fusion method based on intensity-hue-saturation and nonsubsampled three-channels non-separable wavelets

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Chinese Optics Letters 2010年第4期8卷 384-387页

作者：刘斌刘维杰彭嘉雄 School of Mathematics and Computer Science Hubei University Computer School Wuhan University institute of Image recognition and artificial intelligence Huazhong University of Science and Technology

A new multispectral image fusion method based on intensity-hue-saturation（IHS） transform and threechannel non-separable wavelets whose dilation matrix is[2,1;1,1]is *** multi-resolution decompositions of the intensity of multispectral image and panchromatic image are performed in nonsubsampled mode using the three-channel non-separable wavelet filter *** approximation images and the detail images of the multi-resolution pyramids are *** experimental results show that this method has good visual *** performance outperforms the IHS fusion *** discrete wavelet transform （DWT） fusion method,and the IHS-DWT fusion method in preserving spectral quality and high spatial resolution information.

关键词： Decomposition Discrete wavelet transforms Filter banks Visual communication

A Network-Based VPN Architecture Using Virtual Routing

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Wuhan University Journal of Natural Sciences 2005年第1期10卷 161-164页

作者： ZHANG Bao-liang 1,2,HU Han-ping 1,2,WU Xiao-gang 1,2, KONG Tao 31.State Education Ministry Key Laboratory of Image Information and Intelligent Control, Wuhan 430074, Hubei, china 2.institute of Pattem recognition and artificial Intelligonce, Huazhong University of Science and Technology, Wuhan 430074, Hubei, china 3.709th Research institute of china Shipbuilding Engineering Society, Wuhan 430074, Hubei, china State Education Ministry Key Laboratory of Image Information and Intelligent Control Wuhan China Huazhong University of Science and Technology Institute of Pattern Recognition and Artificial Intelligonce Wuhan China (GRID:grid.33199.31) (ISNI:***) State Education Ministry Key Laboratory of Image Information and Intelligent Control Wuhan China (GRID:grid.33199.31) Huazhong University of Science and Technology Institute of Pattern Recognition and Artificial Intelligonce Wuhan China (GRID:grid.33199.31) (ISNI:***) 709th Research institute of china Shipbuilding Engineering Society Wuhan China (GRID:grid.33199.31)

A network-based Virtual Private Network (VPN) architecture by using fundamental routing mechanism is proposed. This network is a virtual overlay network based on the relay of IP-in-IP tunneling of virtual routing modules. The packet format employs the encapsulation of IPSec ESP(Encapsulating Security Payload), an impact path code and an extended DS(Differentiated Services) code to support multi-path routing and QoS. Comparing with other models of VPN, this network system can be deployed in the current network with little investment, and it is easy to implement. The simulation result shows its performance is better than the traditional VPN system of black box mode.

关键词： virtual routing network-based VPN proactive defense

Network Security Transmission Based on Bimatrix Game Theory

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Wuhan University Journal of Natural Sciences 2006年第3期11卷 617-620页

作者： ZHENG Ying HU Hanping GUO Wenxuan institute of Image recognition and artificial intelligence Huazhong University of Science and Technology Wuhan 430074 Hubei China

Based on the bimatrix game theory, the network data transmission has been depicted in a game theory way： the actions of the attacker and defender （legitimate users） are depicted within a two-person, non-cooperative and bimatrix game model, this paper proves the existence of the Nash equilibrium theoretically, which is further illustrated by the experimental resuhs.

关键词： security transmission game theory bimatrix game Nash equilibrium

An Improved Explicit Integration for Nonrigid Simulation

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International Journal of Systems and Control

International Journal of Systems and Control 2008年第1期 48-56页

作者： HU Xinrong, LI Dehua institute for pattern recognition and artificial intelligence, State Education Commission Laboratory for Image Processing and intelligence Control,HuaZhong Univ. of Science&Technology, Wuhan 430074,china

Nonrigid simulation is a hard but challengeable work to all graphics researchers. A satisfied nonrigid simulation should be general, accurate, efficient and stable. Explicit, implicit and semi-implicit integration methods have contributed to large performance enhancements in the field of nonrigid simulation. Cloth is the most representative nonrigid object. In this paper, we propose an improved explicit integration--embedded Runge-Kutta method to solve the nonrigid simulation that takes cloth for example based on classical spring-mass model. Traditional embedded Runge-Kutta methods generally apply some optimized coefficients to solve ordinary differential equations of nonrigid simulation. Most of them tend to concentrate on the efficiency of the simulation process, and not the fidelity of the simulation result. We investigate and determine the extent to which the overall quality must be compromised in order for the stable conditions to be satisfied. The improved integration method proposed in our paper incorporates the fixed timestep and adaptive timestep in solving cloth motion equations to achieve a controllable error evaluation. Compared with the other Runge-Kutta methods, the proposed method has some advantages for nonrigid simulation: controllable error evaluation without extra computations, excellent efficiency, good stability and satisfied precision. Experiment demonstrates that this method results in simulation efficiency improvements and is considerable practicable.

关键词： Nonrigid simulation Explicit integration Ordinary differential equation Spring-mass model Timestep

Gravel Image Segmentation in Noisy Background Based on Partial Entropy Method

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Journal of Earth Science 2000年第1期19卷 94-96页

作者： Wang Guangjun Tian Jinwen Chen Zhenyu Liu JianState Key Laboratory for Image Processing and Intelligent Control, institute for pattern recognition and artificial intelligence, Huazhong University of Science and Technology, WuHan 430074 Wu Guoping

Because of wide variation in gray levels and particle dimensions and the presence of many small gravel objects in the background, as well as corrupting the image by noise, it is difficult to segment gravel objects. In this paper, we develop a partial entropy method and succeed to realize gravel objects segmentation. We give entropy principles and fast calculation methods. Moreover, we use minimum entropy error automaticly to select a threshold to segment image. We introduce the filter method using mathematical morphology. The segment experiments are performed by using different window dimensions for a group of gravel image and demonstrates that this method has high segmentation rate and low noise sensitivity.

关键词： partial entropy segmentation mathematical morphology gravel threshold filter.

Terrain Simplification Research in Augmented Scene Modeling

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Journal of china University of Geosciences 2001年第4期12卷 351-355页

作者： Ming Delie You Kefei Tian Jinwen Liu Jian State Key Laboratory for Image Processing and Intelligent Control, institute for pattern recognition and artificial intelligence , Huazhong University of Science and Technology , Wuhan 430074 Wang Guangju State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 Faculty of Information Engineering China University of Geosciences Wuhan 430074

Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. As one of the most important tasks in augmented scene modeling, terrain simplification research has gained more and more attention. In this paper, we mainly focus on point selection problem in terrain simplification using triangulated irregular network. Based on the analysis and comparison of traditional importance measures for each input point, we put forward a new importance measure based on local entropy. The results demonstrate that the local entropy criterion has a better performance than any traditional methods. In addition, it can effectively conquer the 'short-sight' problem associated with the traditional methods.

关键词： augmented reality scene modeling terrain simplification triangulated irregular network importance measures local entropy.