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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Aydin Farajidavar Farzad Towhidkhah Arash Mirhashemi Shahriar Gharibzadeh Khosrow Behbehani Neuromuscular Systems Laboratory Faculty of Biomedical Engineering Amirkabir University of Technology슠 Tehran Iran Biological Systems Modeling Laboratory Faculty of Biomedical Engineering Amirkabir University of Technology슠 Tehran Iran Image Processing Laboratory Faculty of Biomedical Engineering Amirkabir University of Technology슠 Tehran Iran Department of bioengineering University of Texas Arlington Arlington TX USA

Wind-up, a condition related to chronic pain, is described traditionally as a frequency dependent increase in the excitability of sensory spinal cord neurons, evoked by electrical stimulation of small pain fibers. In this paper, we introduce a computational model on wind-up of large (Abeta) fibers, considering three major mechanisms of wind-up: 1) a feedforward mechanism causing Ca 2+ entry, 2) a positive feedback, causing more Ca 2+ entry, and 3) a feedforward due to sprouting of Abeta fibers towards the small pain fibers. Our model proposes three different ways for reducing wind-up and shows the most important way to treat the pain

关键词： Computational modeling Pain Biomedical engineering Calcium Neurons Feedback Propagation delay Biomembranes Frequency dependence Spinal cord

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Brain MR image segmentation using tabu search and hidden markov random field model

Brain MR image segmentation using tabu search and hidden mar...

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2nd Indian International Conference on Artificial Intelligence, IICAI 2005

作者： Nanda, P.K. Patra, D. Pradhan, A. Department of Electrical Engineering Image Processing and Computer Vision Laboratory National Institute of Technology Rourkela Orissa 769008 India

ISBN: (纸本)0972741216

In this paper, we propose a hybrid Tabu Expectation Maximization (TEM) Algorithm for segmentation of Brain Magnetic Resonance (MR) images in both supervised and unsupervised framewrok. Gaussian Hidden Markov Random Field (GHMRF) is used to model the available degraded image. In supervised framework, the apriori image MRF model parameters as well as the GHMRF model parameters are assumed to be known. The class labels are estimated using the Maximum a Posteriori (MAP) estimation criterion. In unsupervised framework, the problem of model parameter estimation and label estimation is formulated in Expectation Maximization (EM) framework. The labels are estimated using the proposed Tabu Search algorithm while the model parameters are the maximum likelihood estimates. Our proposed algorithm yields results with arbitrary initial paramater set and thus overcomes the problem of proper choice of initial parameters. The results obtained are comparable with the results obtained by using the algorithm proposed by Zhang ***. [15] , where the Iterated Conditional Mode (ICJM) algorithm is used for computing the MAP estimates. Copyright © IICAI 2005.

关键词： Tabu search

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N-dimensional k-order systems: Computing the transfer function

N-dimensional k-order systems: Computing the transfer functi...

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ISSCS 2005: International Symposium on Signals, Circuits and systems

作者： Antoniou, George E. Michael, Marinos T. Image Processing and Systems Laboratory Department of Computer Science Montclair State University Montclair NJ 07043

ISBN: (纸本)0780390296

A new n-dimensional (multi-dimensional) k-order (multi-order) system-model is introduced as an extension of the corresponding Fornasini-Marchesini model. In addition, using this model the discrete Fourier transform (DFT) is used to determine the coefficients of the transfer function. The DFT-based algorithm is straight forward and can easily be implemented. A step-by-step example illustrating the structure of a low order and dimension system and the application of the algorithm is presented. © 2005 IEEE.

关键词： Nonlinear systems

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3D path planning for virtual endoscopy

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International Congress Series 2005年 1281卷 115-120页

作者： Hassouna, M. Sabry Farag, A.A. Hushek, Stephen G. Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY 40292 United States iMRI Department Norton Hospital Louisville KY 40202 United States

Centerline extraction of curvilinear objects is a crucial component of virtual endoscopy (VE) because it provides path planning for automatic navigation. In this paper, we present a guided voxel coding (GVC) algorithm that modifies the original method to extract reliable centerlines suitable for fly-through applications. Our proposed method extracts potential centerline voxels with maximal spheres inscribed in the object and stores them in an a priori guidance map. Centerlines are initially extracted as trajectories inside the object and then centered using a new mechanism that exploits the information contained in that map. A new level set method accurately identifies the topological branching nodes of the joint centerlines. Finally, a thinning method is proposed to guarantee single voxel width centerlines. The proposed algorithm is completely automated and generates reliable, connected, and smoothed navigation paths for complex tree structures. © 2005.

关键词： 3D path planning Flight path generation Virtual endoscopy

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Optimization of H.264 encoder using adaptive mode decision and SIMD instructions

Optimization of H.264 encoder using adaptive mode decision a...

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2005 Digest of Technical Papers - International Conference on Consumer Electronics, ICCE 2005

作者： Kim, Yong-Hwan Yoo, Jin-Woo Lee, Seong-Won Paik, Joonki Choi, Byeongho Image Processing and Intelligent Systems Laboratory Department of Image Engineering Chung-Ang University Seoul Korea Republic of Digital Media Research Center Korea Electronics Technology Institute

This paper presents algorithms that optimize the baseline H.264 encoder without loss of image quality and compression ratio. We propose an adaptive mode decision algorithm to speedup complex mode decision with rate distortion optimization (RDO). Also we optimize computation-intensive modules using single instruction multiple data (SIMD) instructions. As a result, the proposed encoder is ten times faster than JM72 reference encoder. ©2005 IEEE.

关键词： image coding

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Stochastic deformable model

Stochastic deformable model

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2005 16th British Machine vision Conference, BMVC 2005

作者： El-Baz, Ayman Farag, Aly Gimelfarb, Georgy Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States Department of Computer Science Tamaki Campus University of Auckland Auckland New Zealand

ISBN: (纸本)1901725294

Deformable or active contour, and surface models are powerful image segmentation techniques. We introduce a novel fast and robust bi-directional parametric deformable model which is able to segment regions of intricate shape in multi-modal greyscale images. The power of the algorithm in terms of computation time and robustness is owing to the use of joint probabilities of the signals and region labels in individual points as external forces guiding the model evolution. These joint probabilities are derived from a Markov-Gibbs random field (MGRF) image model considering an image as a sample of two interrelated spatial stochastic processes. The low level process with conditionally independent and arbitrarily distributed signals relates to the observed image whereas its hidden map of regions is represented with the high level MGRF of interdependent region labels. Marginal probability distributions of signals in each region are recovered from a mixed empirical signal distribution over the whole image. In so doing, each marginal is approximated with a linear combination of Gaussians (LCG) having both positive and negative components. The LCG parameters are estimated using our previously proposed modification of the EM algorithm, and the high-level Gibbs potentials are computed analytically. Comparative experiments show that the proposed model outlines complicated boundaries of different modal objects much more accurately than other known counterparts.

关键词： Random processes

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Segmentation-based adaptive spatio-temporal filtering for noise canceling and MPEG pre-processing

Segmentation-based adaptive spatio-temporal filtering for no...

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2005 Digest of Technical Papers - International Conference on Consumer Electronics, ICCE 2005

作者： Lee, Seong-Won Maik, Vivek Jang, Jihoon Shin, Jeongho Paik, Joonki Image Processing and Intelligent Systems Laboratory Department of Image Engineering Chung-Ang University Seoul Korea Republic of R and D Center Next Chip Solution Co. Ltd. Seoul Korea Republic of

Noise reduction especially in low light level images is an important feature in consumer cameras. Existing methods to reduce such noise often degrade image quality due to an improper choice of filters. We present a high quality, low-cost noise reduction filter for enhancing low light level images. The proposed algorithm is simple, effective and computationally fast;it is suitable for low cost camcorders, digital cameras, CCTVs, and surveillance video systems. ©2005 IEEE.

关键词： Noise abatement

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Novel vibro-acoustical technology for pipe deposition monitoring

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International Journal of COMADEM 2005年第4期8卷 24-32页

作者： Gelman, L. Jenkin, P. Petrunin, I. Sanderson, M. Thompson, C. Cranfield University National Technical University of Ukraine Cranfield University Department of Process and Systems Engineering Applied Mathematics and Computing Group Cranfield Beds MK43 0AL United Kingdom Applied Mathematics and Computing Group Cranfield University National Technical University of Ukraine KPI Department of Process and Systems Engineering Department of Fluid Instrumentation School of Engineering Cranfield University Centre for Computer Vision and Image Processing

Deposits (waxes, hydrates, etc.) change the damping properties of pipelines. The damping ratio of the pipeline increases with increments in deposit thickness. Thus, the evaluation of the damping ratio of the pipeline provides a condition monitoring of the pipeline deposits. Deposits could, be detected by monitoring the vibro-acoustical response of the pipeline while it is subjected to vibration excitation. Vibro-acoustical pipeline condition monitoring is a promising technology, but it has been little investigated. A novel vibro-acoustical technology of deposit detection in pipelines is proposed, developed, and validated through simulation. A new generic feature representation approach is used. Comparison of the proposed technology with the traditional technology based on the magnitude of the frequency response function is undertaken using simulation (by the Simulink) and Monte Carlo procedure. It is shown that the proposed technology provides an essential monitoring effectiveness gain vs. that of the technology based on the magnitude of the frequency response function. Thus, the proposed technology significantly improves the accuracy of vibro-acoustical deposit monitoring in pipelines. © 2005 COMADEM International.

关键词： Condition monitoring

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Optical flow-based tracking of deformable objects using a non-prior training active feature model 5th

Optical flow-based tracking of deformable objects using a no...

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5th Pacific Rim Conference on Multimedia, PCM 2004

作者： Kim, Sangjin Kang, Jinyoung Shin, Jeongho Lee, Seongwon Paik, Joonki Kang, Sangkyu Abidi, Besma Abidi, Mongi Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-Dong Tongjak-Ku Seoul156-756 Korea Republic of Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering The University of Tennessee KnoxvilleTN37996-2100 United States

ISBN: (纸本)9783540239857

This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed algorithm mainly focuses on analysis of deformable objects, and provides real-time, robust tracking. The proposed object tracking procedure can be divided into two steps: (i) optical flow-based tracking of feature points and (ii) NPT-AFM for robust tracking. In order to handle occlusion problems in object tracking, feature points inside an object are estimated instead of its shape boundary of the conventional active contour model (ACM) or active shape model (ASM), and are updated as an element of the training set for the AFM. The proposed NPT-AFM framework enables the tracking of occluded objects in complicated background. Experimental results show that the proposed NPT-AFM-based algorithm can track deformable objects in real-time. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Optical flows

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Generalized n-dimensional k-order systems: computing the transfer function

Generalized n-dimensional k-order systems: computing the tra...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： G.E. Antoniou M.T. Michael Image Processing and Systems Laboratory Department of Computer Science Montclair State University Montclair NJ USA

A new generalized multi-dimensional (n-dimensional) multi-order (k-order) (GnDkO) linear system/model is introduced. Using this model, the discrete Fourier transform (DFT) is used to compute the coefficients of the transfer function. The algorithm is straightforward and can be easily implemented. A step-by-step example illustrating the application of the algorithm is presented.

关键词： Transfer functions Discrete Fourier transforms Polynomials Linear systems Power system modeling State-space methods image processing Laboratories Computer science Multidimensional systems

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