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IEEE International Conference on image processing

作者： Wei Quan Bogdan J. Matuszewski Lik-Kwan Shark Applied Digital Signal and Image Processing (ADSIP) Research Centre University of Central Lancashire Preston UK

This paper describes an improved 3-D facial representation method capable of modeling different types of faces without any constraint from expression, age, gender, or ethnic origin. Using the proposed technique, a 3-D face can be represented by a low dimensional shape space vector (SSV) of the statistical shape model (SSM), which is calculated through a model-based surface registration process. This model-based surface registration method consists of two major processing stages, model building and hierarchical model fitting. A statistical shape model is first built using a set of training faces. Then the model is deformed to match the new face by a modified iterative closest point (ICP) scheme. The experimental results on real 3-D facial data show that the proposed method can reasonably interpret the articulation of 3-D faces.

关键词： Shape Data models Deformable models Solid modeling Fitting Training Face recognition

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Classification of DCT-based filtered multichannel images

Classification of DCT-based filtered multichannel images

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International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science

作者： Dmitriy Fevralev Vladimir Lukin Sergey Krivenko Nikolay Ponomarenko Andriy Kurekin Department of Receivers Transmitters and Signal Processing Kharkov National Aerospace University KhAI Kharkiv Ukraine Applied Digital Signal and Image Processing Research Centre University of Central Lancashire Preston UK

ISBN: (纸本)9781424463244

Multichannel remote sensing (MRS) data can be passed to customers in different forms: original (raw), pre-filtered, compressed, classified. In this paper, we analyze how pre-filtering of original images can influence classification accuracy of three-channel images using three channels of real life Landsat TM data with simulated noise.

关键词： Filtering PSNR Neural networks Support vector machines Support vector machine classification Remote sensing Remote monitoring image analysis Satellites Hyperspectral imaging

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Hand Motion Recognition and Visualisation for Direct Sign Writing

Hand Motion Recognition and Visualisation for Direct Sign Wr...

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International Conference on Information Visualisation (IV)

作者： Gan Lu Lik-Kwan Shark Geoff Hall Ulrike Zeshan Applied Digital Signal & Image Processing Research Centre University of Central Lancashire UK International Centre of Sign Languages and Deaf Studies University of Central Lancashire UK

Although SignWriting provides an intuitive notation system based on pictorial symbols to enable any sign based language in the world to be transcribed into a written form, it is a time consuming process for keyboard based input. To address the challenge of direct sign writing, the paper presents a human-computer-interaction system developed for recognition and visualisation of hand movements. The system is shown to be able to display the corresponding SignWriting symbols for various hand movements performed by two hands based on motion characteristics such as movement planes, movement directions, straight/curve movement paths, clockwise/anti-clockwise movements, and single/repeated movements.

关键词： Floors Clocks Three dimensional displays Tracking Writing Trajectory Handicapped aids

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Upper Bounds for the Analysis of Trellis Coded Spatial Modulation over Correlated Fading Channels

Upper Bounds for the Analysis of Trellis Coded Spatial Modul...

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IEEE Conference on Vehicular Technology (VTC)

作者： Marco Di Renzo Raed Y. Mesleh Harald Haas Peter M. Grant Laboratory of Signals and Systems (LSS) Ecole Superieure d'Electricite (SUPELEC) French National Center for Scientific Research (CNRS) Gif-sur-Yvette France School of Engineering and Science Jacobs University Bremen Bremen Germany Institute of Digital Communications (IDCOM) Joint Research Institute of Signal and Image Processing University of Edinburgh Edinburgh UK

Trellis Coded Spatial Modulation (TCSM) is a novel transmission technology for Multiple-Input-Multiple-Output (MIMO) systems, which has been recently proposed to improve the performance of Spatial Modulation (SM) over correlated fading channels. The fundamental principle of TCSM is to use convolutional encoding and Maximum-Likelihood Sequence Estimation (MLSE) decoding to increase the free distance between sequences of spatial constellation points, thus improving, especially over spatially correlated fading channels, the end-to-end system performance. In this paper, we propose tight analytical bounds for performance analysis of TCSM over correlated fading channels. In particular, the contributions of this paper are as follows: i) we propose two asymptotically tight (for high signal-to-Noise-Ratios, SNRs) upper bounds for the analysis of uncoded SM schemes, which offer a better accuracy than already existing frameworks, ii) we propose a simple Chernoff bound for performance analysis of TCSM, which, although weak, can well capture the diversity order of the system, and iii) we propose an asymptotically tight (for high SNRs) true union bound for the accurate performance prediction of TCSM over correlated fading channels. Analytical frameworks and findings will also be substantiated via Monte Carlo simulations.

关键词： Upper bound Modulation coding Fading Performance analysis MIMO Samarium Maximum likelihood estimation Convolutional codes Convolution Maximum likelihood decoding

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Multiphase active contour segmentation constrained by evolving medial axes

Multiphase active contour segmentation constrained by evolvi...

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IEEE International Conference on image processing

作者： Yan Zhang Bogdan J. Matuszewski Applied Digital Signal and Image Processing Research Centre School of Computing Engineering and Physics Sciences University of Central Lancashire Preston UK

This paper describes a novel multiphase level set active contour segmentation method enabling simultaneous segmentation of multiple complex objects. The proposed technique supports preservation of prior topological configuration between different objects as well as to provide soft shape constraints. Whereas each contour evolves using its own evolution equation the contours are constrained and interrelated to each other by specially designed normal velocity component in the contours evolution equations. This velocity component is calculated using adaptively estimated set of medial axes between the corresponding contour and all other contours. In the proposed implementation the medial axes are represented by level set functions calculated from the level set functions representing active contours. By design, the proposed constraint can be used with edge, area or hybrid based methods and can easily incorporate additional constraints. The paper shows performance of the method on simulated as well as real images.

关键词： Active contours

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Assessment of depth of anesthesia using principal component analysis

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Journal of Biomedical Science and Engineering 2009年第1期2卷 9-15页

作者： Mina Taheri Behzad Ahmadi Rassoul Amirfattahi Mojtaba Mansouri Digital Signal Processing Research Lab Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156-83111 Iran Medical Image and Signal Processing Research Center Isfahan University of Medical Sciences Isfahan Iran. Correspondence should be addressed to Mina Taheri

A new approach to estimating level of uncon-sciousness based on Principal Component Analysis (PCA) is proposed. The Electroen-cephalogram (EEG) data was captured in both Intensive Care Unit (ICU) and operating room, using different anesthetic drugs. Assuming the central nervous system as a 20-tuple source, window length of 20 seconds is applied to EEG. The mentioned window is considered as 20 nonoverlapping mixed-signals (epoch). PCA algorithm is applied to these epochs, and larg-est remaining eigenvalue (LRE) and smallest remaining eigenvalue (SRE) were extracted. Correlation between extracted parameters (LRE and SRE) and depth of anesthesia (DOA) was measured using Prediction probability (PK). The results show the superiority of SRE than LRE in predicting DOA in the case of ICU and isoflurane, and the slight superiority of LRE than SRE in propofol induction. Finally, a mixture model containing both LRE and SRE could predict DOA as well as Relative Beta Ratio (RBR), which expresses the high capability of the proposed PCA based method in estimating DOA.

关键词： Bispectral Index Depth of Anesthesia Eignevalue Decomposition Principal Component Analysis

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Medical image Segmentation Using New Hybrid Level-Set Method

Medical Image Segmentation Using New Hybrid Level-Set Method

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International Conference on BioMedical Visualization, MEDIVIS

作者： Yan Zhang Bogdan J. Matuszewski Lik-Kwan Shark Christopher J. Moore Applied Digital Signal and Image Processing Research Centre University of Central Lancashire Preston UK North Western Medical Physics Christie Hospital NHS Trust Manchester UK

ISBN: (纸本)9780769532844

In this paper, a new hybrid medical image segmentation method in the level-set framework is proposed. The method uses both the objectpsilas boundary and region information to achieve robust and accurate segmentation results. The boundary information can help to detect the precise location of the target object and the region information can help to prevent the boundary leakage problem. Experimental results on a synthetic image as well as real 2D and 3D medical images are also shown in the paper with the emphasis on the comparisons between the new hybrid method and the Chan-Vese method.

关键词： image segmentation Active contours Evolution (biology) Numerical models Biomedical imaging Atmospheric modeling Mathematical model

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A novel medical image segmentation method using dynamic programming

A novel medical image segmentation method using dynamic prog...

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4th International Conference Medical Information Visualisation: BioMedical Visualisation, MediViz 2007

作者： Yan, Zhang Matuszewski, Bogdan J. Shark, Lik-Kwan Moore, Christopher J. Applied Digital Signal and Image Processing Research Centre University of Central Lancashire Preston United Kingdom North Western Medical Physics Christie Hospital NHS Trust Manchester United Kingdom

ISBN: (纸本)0769529046

A novel method is proposed to segment objects in medical images whose boundaries can be described as closed curves. Based on an image with the enhanced boundary of an object of interest, the segmentation method consists of three key steps, namely, the polar transformation, dynamic programming and curve fitting. A 3D object in volumetric data can be segmented on a slice-by-slice basis by only specifying one point inside the 3D object of interest as the pole for the polar transformation. The method is also shown to be able to segment objects with very weak boundaries. © 2007 IEEE.

关键词： Medical imaging

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Pseudo Real-Time System for Visualisation of 3D Scenes

Pseudo Real-Time System for Visualisation of 3D Scenes

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International Conference on Geometric Modeling and Imaging, GMAI

作者： Bo Tang Djamel Ait-Boudaoud Lik-Kwan Shark Bogdan J. Matuszewski Applied Digital Signal and Image Processing Research Centre Department of Technology University of Central Lancashire Preston UK

A novel pseudo real-time 3D visualisation system is proposed in this paper. The proposed system has been developed using the TI (Texas instruments) DM642 EVM board which is a standalone digital media processing board. The system also includes a stereo video capture module consisting of two PAL cameras and a 3D display unit for visualisation of 3D video input. The core algorithm utilises images captured from the cameras and generates 6 virtual in between views using interpolation techniques. The combined views (eight views of 2D images) are displayed on the 3D monitor using a proprietary method developed specifically for X3D monitors. The advantage of the proposed system is that real 3D impressions are able to be visualised in front of the 3D monitor in pseudo real-time without any special glasses. The proposed system has been evaluated on a number of real scenes. The limitations of our system will be discussed and the corresponding solutions will be given at the end of this paper.

关键词： Real time systems Visualization Layout Cameras Three dimensional displays Monitoring Interpolation Random access memory Auditory displays Universal Serial Bus

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A Novel Medical image Segmentation Method using Dynamic Programming

A Novel Medical Image Segmentation Method using Dynamic Prog...

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4th International Conference on Medical Information Visualisation (MediViz 2007)

关键词： Biomedical imaging image segmentation Dynamic programming Visualization Curve fitting Pixel Active contours Law Legal factors signal processing

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