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MIPPR 2009 - Medical Imaging, Parallel Processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image Processing and Pattern Recognition

作者： Li, Shidong Ding, Mingyue Cai, Chao Institute for Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China Hubei University for Nationalities Enshi Hubei 445000 China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

Traditional path planning methods are too slow to meet the real-time requirement in practical applications. In order to solve this problem, an idea of path net was proposed in this paper. The path planning procedure is divided into two steps: network segment planning and segment assembling. The first step was done with Fast Marching Method, including port selection of segment and network segment planning. Second step, the A* searching method was chosen to select segments for assembling. Experiments demonstrated that our method can obtain an optimal route in a few of seconds after the start and goal are given while several minutes are needed for traditional methods. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

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Path planning using FMM with direction and curvature constrained

Path planning using FMM with direction and curvature constra...

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MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral image Processing and Pattern Recognition

ISBN: (纸本)9780819478092

It is difficult to meet both direction and curvature constraints for traditional Fast Marching (FM) method in path planning. Based on adjusting the cost function in Eiknoal equation-the control equation for FM, a new model for computing the integrated cost function was presented in this paper. A relationship formula about curvature radius was obtained and three kinds of adjusting strategies were given;two of them were used to modify the route to meet with the requires of turning constraint in this paper. Experiments showed that the improved model can be used to plan the path with FMM for agent such as unmanned aerial vehicle (UAV) or robot, which is limited to pass through the scene matching areas. And our preliminary experiments demonstrated that the strategies are feasible and efficient to obtain path with certain curvature radius. The model can also be used to represent the problem such as an aircraft flying in a flow field. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

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Sliding Mode Tracking for Actuators Comprising Pneumatic Muscle and Torsion Spring

Sliding Mode Tracking for Actuators Comprising Pneumatic Mus...

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2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

作者： Kexin Xing Jian Huang Yongji Wang Jiping He Qi Xu Jun Wu Key Lab.of Image Processing and Intelligent Control Department of Control Science and TechnologyHuazhong University of Science and TechnologyWuhanChina

ISBN: (纸本)9781424447749;9781424447756

In this study, the sliding mode approach is applied to the tracking control problem of a planar arm manipulator system driven by a new type of actuator, which comprises a pneumatic muscle (PM) and a torsion spring. Unlike the traditional agonist/antagonist pneumatic muscle actuator, the PM is arranged in place of bicep and the torsion spring provides opposing torque in the presented actuator. The dynamic model is derived for this system and a sliding mode controller is designed to make the joint angle track a desired trajectory within a guaranteed accuracy even there are modeling uncertainties. A selection method is also proposed to obtain appropriate spring coefficient, which plays an important role in the tracking control task. The effectiveness of the proposed method is confirmed by simulations. The differences between the control results of using our new actuator and that of using the traditional pneumatic muscle actuator in opposing pair configuration are also compared.

关键词： Pneumatic muscle (PM) torsion spring sliding mode control rehabilitation robot

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Texture image segmentation using Brushlet-domain hidden Markov models

Texture image segmentation using Brushlet-domain hidden Mark...

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MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral image Processing and Pattern Recognition

作者： Liu, Fang Yang, Kai Hao, Hongxia Hou, Biao Zhong, Hua School of Computer Science and Technology Xidian University Xi'an Shanxi 710071 China Intelligent Perception and Image Understanding Key Lab. of Ministry of Education of China Xi'an Shanxi 710071 China Intelligent Information Processing Laboratory Xidian University Xi'an Shanxi 710071 China

ISBN: (纸本)9780819478092

By researching the Brushlet domain coefficients of texture images, we found that the distribution of the magnitudes of Brushlet domain coefficients roughly meet rayleigh distribution. And there are correlations between Brushlet coefficients in adjacent scales. Therefore, Rayleigh Mixture Model (RMM) is used to characterize the statistics of the magnitudes of Brushlet coefficients. To capture the inter-scale persistence of Brushlet coefficients, a "four to four" models with markov property is adopted in this paper. On the basis, by combining with the multi-scale Bayesian segmentation method, we propose a multiscale Bayesian texture segmentation algorithm that is based on a Brushlet domain hidden Markov tree (BruHMT) model. The experiment results indicate that our method is feasible and effective. Especially for coarse texture, our method is superior than texture segmentation method using Wavelet domain hidden Markov tree (WHMT) model. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Hidden Markov models

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SEMANTIC ANNOTATION OF PERSONAL VIDEO CONTENT USING AN image FOLKSONOMY

SEMANTIC ANNOTATION OF PERSONAL VIDEO CONTENT USING AN IMAGE...

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International Conference on image Processing

作者： Hyun-seok Min JaeYoung Choi Wesley De Neve Yong Man Ro Konstantinos N. Plataniotis Image and Video Systems Lab Korea Advanced Institute of Science and Technology (KAIST) Multimedia Lab The Edward S. Rogers Sr. Dept. of Electrical and Computer Engineering (ECE) University of Toronto

ISBN: (纸本)9781424456536;9781424456543

The increasing popularity of user-generated content (UGC) requires effective annotation techniques in order to facilitate precise content search and retrieval. In this paper, we propose a new approach for the semantic annotation of personal video content, taking advantage of user-contributed tags available in an image folksonomy. Video shots and folksonomy images are first represented by a semantic vector. Next, the semantic vectors are used to measure the semantic similarity between each video shot and the folksonomy images. Tags assigned to semantically similar folksonomy images are then used to annotate the video shots. To verify the effectiveness of the proposed annotation method, experiments were performed with video sequences retrieved from YouTube and images downloaded from Flickr. Our experimental results demonstrate that the proposed method is able to successfully annotate personal video content with user-contributed tags retrieved from an image folksonomy. In addition, the size of our tag vocabulary is significantly higher than the size of the tag vocabulary used by conventional annotation methods.

关键词： Folksonomy Semantic annotation User-generated content Video indexing User generated content Videotapes images ANNOTATIONS Semantics TAGGING YouTube

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Home Video Management System with Semantic Information

Home Video Management System with Semantic Information

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Hyun-Seok Min Young Bok Lee Wesley De Neve Yong Man Ro Korea Advanced Institute of Science and Technology Department of Information and Communications Engineering Daejeon Daejeon KR Image and Video Systems Lab Multimedia Group ICU Daejeon South Korea

The increasing amount of home video content has resulted in the need of efficient systems for the management of home video content. In this paper, we discuss the design of a home video management system that relies on the use of several semantic web technologies. The proposed system first segments video into shots. In a next step, semantic information is automatically extracted from key frames that are representative for the shots found. The extracted information is subsequently represented using the resource description framework (RDF), satisfying the constraints of a web ontology language (OWL) schema. The use of RDF facilitates interoperability among different sources of metadata and makes the information understandable for machines. Further, the use of RDF in our system design also allows using the SPARQL protocol and RDF query language (SPARQL) to query our metadata and to retrieve the video content the user is interested in.

关键词： Resource description framework Content management OWL Data mining Semantic Web Multimedia systems Protocols Database languages Content based retrieval MPEG 7 Standard

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Automatic needle segmentation using 3D Gray-level Hough Transform in 3D ultrasound images

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Journal of Computational Information Systems 2008年第5期4卷 2021-2026页

作者： Qiu, Wu Ding, Mingyue Yuchi, Ming Image Processing and Intelligence Control Key Lab. of Education Ministry of China Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Department of Biomedical Engineering School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

This paper describes a novel 3D needle segmentation algorithm for 3DUS data. The algorithm includes the 3D Gray-level Hough Transform (3DGHT), which is based on the representation (ψ, θ, ρ, α) of straight lines in 3D space and Local Dimensionality Estimator (GST). Different from the traditional Hough transformation the process of binarization is not needed, because the proposed algorithm adopts the original gray level image directly. We tested it with the synthetic data and water phantom. The results show that our algorithm works well in 3D US images with angular deviation less than 1° and position deviation less than 1 mm. © 2008 Binary Information Press.

关键词： Hough transforms

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Appearance based 3d object recognition using IPCA-ICA 21

Appearance based 3d object recognition using IPCA-ICA

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21st Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2008

作者： Ananthashayana, V.K. Asha, V. Image Processing and Computer Vision Lab Department of Computer Science and Engineering M.S.Ramaiah Institute of Technology Bangalore India

Fast incremental non Gaussian directional analysis (IPCA-ICA) is proposed as a linear technique for recognition [1]. The basic idea is to compute the principal components as sequence of image vectors incrementally, without estimating the covariance matrix and at the same time transforming these principal components to the independent directions that maximize the non-Gaussianity of the source. In this paper we utilize the IPCA-ICA technique for 3D Object recognition by employing its neural network architecture. We illustrate the potential of IPCA-ICA on a database of 1440 images of 20 different objects captured by CCD camera. The excellent recognition rates achieved in all the performed experiments indicates that the present method is well suited for appearance based 3D object recognition. © 2008 International Society for Photogrammetry and Remote Sensing. All rights reserved.

关键词： Principal component analysis

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Fast non-rigid image registration using viscous fluid model and B-spline

Fast non-rigid image registration using viscous fluid model ...

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2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

作者： Rong, Chengcheng Zhou, Jian Luo, Limin Cao, Guogang Lab. of Image Science and Technology Southeast University 210096 Nanjing China INSERM U642 LTSI Université de Rennes 1 35042 France

ISBN: (纸本)9781424417483

Viscous fluid based non-rigid registration algorithm is an appropriate method for registering objects with large-scale difference. The core component of the algorithm is to solve the fluid partial differential equations. Usually, iterative methods, such as successive over-relaxation, are employed to obtain the solution, but the computational complexity is very tremendous. To reduce the complexity, a fast method based on fluid model combined with B-spline is presented. Firstly, B-spline is used to model the velocity fields, so that the large number of unknowns are reduced to fewer B-spline coefficients;Secondly, by use of some special attributes of B-spline and fast Fourier transform(FFT), direct inversion for the B-spline coefficients are deduced. Experimental results show that our new method is not only suitable for the large-scale image deformation but also amounts relatively lower computational costs. © 2008 IEEE.

关键词： image registration

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Spin-polarized carrier injection effect in ferromagnetic semiconductor/diffusive semiconductor/superconductor junctions

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Journal of Physics: Conference Series 2009年第2期150卷

作者： T Akazaki Y Sawa T Yokoyama Y Tanaka A A Golubov H Munekata N Nishizawa H Takayanagi NTT Basic Research Laboratories NTT Corporation 3–1 Morinosato-Wakamiya Atsugi Kanagawa 243–0198 Japan Department of Applied Physics Nagoya University Nagoya 464–8603 Japan Faculty of Science and Technology University of Twente Enschede The Netherlands Image Science and Engineering Lab. Tokyo Institute of Technology Yokohama Kanagawa 226–8503 Japan International Center for Materials Nanoarchitectonics National Institute for Materials Science 3–13 Sakura Tsukuba 305–0003 Japan Research Institute for Science and Technology Tokyo University of Science 1–3 Kagurazaka Shinjuku Tokyo 162–8601 Japan

We study the transport properties of a p-InMnAs/n-InAs/Nb junction where a p-InMnAs can be regarded as a spin injector. Differential conductance of the n-InAs channel is measured as a function of injection current from p-InMnAs or from Nb at 20 mK. A conductance minimum appears at zero-bias voltage with no current injection. As the injection current from p-InMnAs increases, the minimum gradually disappears. This conductance behaviour is very different from that of the injection case from Nb. We also calculate the conductance in the n-InAs channel by taking account of the exchange field in the InAs channel that is induced by InMnAs ferromagnet. The difference between the conductance behaviours on injection current direction can be explained by the inverse proximity effect that the exchange field is also induced in the superconducting electrode.

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