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检索条件"机构=Lab. of Image Science and Technology"

共 113 条记录，以下是1-10 订阅

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Study of blind image restoration algorithm based on non-negative independent component analysis

Study of blind image restoration algorithm based on non-nega...

引用

MIPPR 2009 - Automatic Target Recognition and image Analysis: 6th International Symposium on Multispectral image Processing and Pattern Recognition

作者： Li, Sanfeng Wang, Shijie Luo, Limin Image Science and Technology Lab. Southeast University Nanjing 210096 China

ISBN: (纸本)9780819478061

Blind image restoration is a great part of image processing, which refers to the technology field that study how to restore the original image from the observed image without sufficient prior knowledge about the degradation process. Recently, as a novel method for blind source separation based on high statistics, Independent Component Analysis (ICA)'s computation algorithms and applications are widely studied. In this paper, we present a Non-negative ICA algorithm which is used to the blind image restoration with the constraint of non-negativity. Besides this, through a matrix of de-correlation, it can reduce the requirements to the independence of the source signals in ICA algorithm. Through some computer simulation and experiments for real images, we show the effectiveness of the presented method. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Independent component analysis

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A new non-homogeneous Markov random field model based on fuzzy membership for brain MRI segmentation

A new non-homogeneous Markov random field model based on fuz...

引用

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

作者： Xu, Rong Luo, Limin Image Science and Technology Lab. Southeast University Nanjing 210096 China

ISBN: (纸本)9780819478085

In this paper, we propose a new non-homogeneous Markov random field model based on fuzzy membership to resolve over-segmentation caused by traditional MRF model in the application of Brain MRI segmentation. Herein, we use fuzzy membership to estimate the parameters in the model. Simulated brain MRIs with the noise of different intensity and real brain MRIs are utilized in experiments. The results illustrate our method effectively reduces over-segmentation and improves final segmentation results and precision, and its performance is more powerful than that of kernel-based fuzzy c-means clustering algorithm and the traditional MRF model. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： image segmentation

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A weighted least squares reconstruction method for PET data using nonlinear anisotropic diffusion regularization

A weighted least squares reconstruction method for PET data ...

引用

2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Hongqing, Zhu Huazhong, Shu Ting, Xia Limin, Luo Lab. of Image Science and Technology Southeast University 210096 Nanjing China

ISBN: (纸本)0780387406

Due to the inherent ill-posedness of PET image reconstruction, the reconstructed images will have noise and edge artifacts. A roughness penalty is often imposed on the solution to control noise. In this paper, we propose a new weighted least squares (WLS) image reconstruction method for PET based on nonlinear anisotropic diffusion (AD) regularization. The use of AD is because it is extremely effective for reducing noise in 2D images while preserving edges. The weighted factor is used to balance data consistency and regularization terms. The application of the proposed approach to simulated and real PET emission data show that it more effective than the common WLS algorithm, especially for noisy projection data. © 2005 IEEE.

关键词： image reconstruction

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Online incremental random forests

Online incremental random forests

引用

International Conference on Machine Vision, ICMV 2007

作者： Hassab Elgawi, Osman Hasegawa, Osamu Computational Intelligence and Systems Science Tokyo Institute of Technology Image Science and Engineering Lab. Tokyo Institute of Technology

ISBN: (纸本)9781424416257

In this paper, we propose online method for generating relevant feature incrementally to be learned simultaneously with random forests algorithm. The algorithm iteratively estimates the importance of variables and selects them accordingly based on correlation ranking. We test our method by sequential forward/backward selection approach. Empirical comparisons with 3 other state-of-the-art batch mode features selection approaches (Gini index, ReliefF, Gain ratio) are very encouraging. Using 12 UCI datasets we demonstrate experimentally that that our online methods prediction performs comparably to other batch learning counterpart algorithms. ©2007 IEEE.

关键词： Iterative methods

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Two new algorithms for fast computation of Legendre moments

Two new algorithms for fast computation of Legendre moments

引用

Visual Communications and image Processing 2003

作者： Qin, Lei Shu, Huazhong Jin, Fenghua Toumoulin, Christine Luo, Limin Lab. of Image Science and Technology Southeast University Nanjing 210096 China Lab. of Signal and Image Processing University of Rennes I Rennes 35042 France

Orthogonal moments have been successfully used in the field of pattern recognition and image analysis. However, due to the complexity in their calculation, the problem of fast computation of orthogonal moments has not till now been well solved. This paper presents two fast and efficient algorithms for the two dimensional (2D) Legendre moment computation. They are based on a block representation of the image and respectively use cumulative and integral methods. Results on 2D binary images show that these algorithms can decrease the computational complexity in a very important way.

关键词： image processing

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Comparing and integrating alignment template and standard phrase-based statistical machine translation

Comparing and integrating alignment template and standard ph...

引用

8th International Conference on Intelligent Text Processing and Computational Linguistics

作者： Xu, Lin Cao, Xiaoguang Zhang, Bufeng Li, Mu Lab. of Pattern Recognition and Intelligent System Image Processing Center BeiHang University China Al Lab. Computer Science and Technology Tianjing University China Microsoft Research Asia China

ISBN: (纸本)9783540709381

In statistical machine translation (SMT) research, phrase-based methods have been receiving more interest in recent years. In this paper, we first give a brief survey of phrase-based SMT framework, and then make detailed comparisons of two typical implementations: alignment template approach and standard phrase-based approach. At last, we propose an improved model to integrate alignment template into standard phrase-based SMT as a new feature in a log-linear model. Experimental results show that our method outperforms the baseline method.

关键词： Natural language processing systems

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Design of a wearable rehabilitation robotic hand actuated by pneumatic artificial muscles

Design of a wearable rehabilitation robotic hand actuated by...

引用

2009 7th Asian Control Conference, ASCC 2009

作者： Kexin, Xing Jian, Huang Qi, Xu Yongji, Wang Key Lab. of Image Processing and Intelligent Control Department of Control Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9788995605691

Intensive task-oriented repetitive physical therapies provided by individualized interaction between the patient and the rehabilitation specialist can improve the hand motor performance of the patient survived from stroke or traumatic brain injury. However, the therapy is time-consuming and expensive. Furthermore, it is difficult to evaluate the result of therapy quantitatively and objectively. The goal of this research is to develop a novel wearable device for robotic assistive hand repetitive therapy. We designed a pneumatic artificial muscle (PAM) driven rehabilitation robotic hand that is wearable and provides assistive forces required for grasping and release movements. The robot has two distinct degrees of freedom at the thumb and the fingers. The embedded sensors are employed to obtain the feedback position and force information for robot control and quantitative evaluation of task performance. To encourage the patients' self-regulation and improve the performance of the task, a PC based Virtual Reality game was developed. In order to realize a compliant and smooth motion, cubic spline functions are adopted in the trajectory planning of metacarpophalangeal joints. To realize the trajectory tracking control, a conventional PID controller was implemented and evaluated. Experiments were performed to confirm the effectiveness of the proposed device and methods. The robot has the potential of providing supplemental at-home therapy in addition to in the clinic treatment. ©2009 ACA.

关键词： Degrees of freedom (mechanics)

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PET image reconstruction using Mumford-Shah regularization coupled with L1 data fitting

PET image reconstruction using Mumford-Shah regularization c...

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2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Jian, Zhou Huazhong, Shu Ting, Xia Limin, Luo Lab. of Image Science and Technology Department of Biological Science and Medical Engineering Southeast University Nanjing 210096 China

ISBN: (纸本)0780387406

In positron emission tomography (PET) image reconstruction, regularization methods are usually considered to suppress noise effects in reconstructed images. In this paper, we model this reconstruction problem in a new variational framework where the Mumford-Shah (MS) regularization coupled with recently developed L1 data fidelity term is adapted. In order to simplify the numerical computation, Ambrosio and Tortorelli's Γ-convergence approximation is also employed to substitute the irregular parts (edge set) of MS functional with the auxiliary smooth function. In numerical studies we compare our method with the "conventional" penalized LeastSquare (PLS) algorithm with local nonquadratic Huber penalty. Results show both the feasibility and efficiency of the proposed algorithm. © 2005 IEEE.

关键词： image reconstruction

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Modeling of cortical signals using echo state networks

Modeling of cortical signals using echo state networks

引用

MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image Processing and Pattern Recognition

作者： Zhou, Hanying Wang, Yongji Huang, Jiangshuai Key Lab. for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology China

ISBN: (纸本)9780819478078

Diverse modeling frameworks have been utilized with the ultimate goal of translating brain cortical signals into prediction of visible behavior. The inputs to these models are usually multidimensional neural recordings collected from relevant regions of a monkey's brain while the outputs are the associated behavior which is typically the 2-D or 3-D hand position of a primate. Here our task is to set up a proper model in order to figure out the move trajectories by input the neural signals which are simultaneously collected in the experiment. In this paper, we propose to use Echo State Networks (ESN) to map the neural firing activities into hand positions. ESN is a newly developed recurrent neural network(RNN) model. Besides its dynamic property and short term memory just as other recurrent neural networks have, it has a special echo state property which endows it with the ability to model nonlinear dynamic systems powerfully. What distinguished it from transitional recurrent neural networks most significantly is its special learning method. In this paper we train this net with a refined version of its typical training method and get a better model. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Brain

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Real-time driver fatigue detection based on simplified landmarks of AAM

Real-time driver fatigue detection based on simplified landm...

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2010 International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA 2010

作者： Dong, Hua-Zhi Xie, Mei Image Processing and Information Security Lab. School of Electronic Engineering University of Electronic Science and Technology Chengdu China

ISBN: (纸本)9781424480265

Using Active Appearance Model to detect driver fatigue has been proposed in past research. This paper proposes a rapid method of driver fatigue detection by applying Active Appearance Model with simplified landmarks only around eyes, and also proposes to convert the eye contour aspect ratio into PERCLOS to judge the degree of the driver fatigue. Compared to the original method, this method reduces redundant facial texture information, and accelerates the speed of eye state detection while improving detection accuracy rate of driver fatigue. The experiments results show that this method is fast and effective that can be used in real-time detection. © 2010 IEEE.

关键词： Adaptive boosting

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