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Geometric parameters based cubic PH curve interpolation and approximation

Journal of Information and Computational Science 2009年第6期6卷 2423-2432页

作者： Cheng, Min Wang, Guojin Department of Mathematics Zhejiang University Zhejiang Hangzhou 310000 China College of Science Zhejiang University of Technology Zhejiang Hangzhou 310000 China Institute of Computer Graphics and Image Processing Zhejiang University Zhejiang Hangzhou 310000 China

The Pythagorean-hodograph curves offer unique computational advantages in computer aided design and manufacturing. In this paper, geometric parameters based cubic PH curve interpolation and approximation algorithms are presented. The essential geometric parameters include the ratio ρ of the adjacent control polygon legs, the control polygon angle θ, the first control polygon leg L, the included angle δ between the first control polygon edge and the edge joining the origin O and the first control point, as well as the coefficient Dir of curve rotation. Furthermore the problem of PH curve approximation with endpoints interpolation to a cubic non-PH curve is studied, including the algorithms based on different geometric parameters input {δ, θ}, {ρ, θ} and {ρ, δ} respectively. © 2009 Binary Information Press.

关键词： Approximation algorithms

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Automatic Detection and Characterization of Funnel Chest Based on Spiral CT

Automatic Detection and Characterization of Funnel Chest Bas...

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The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

作者： Laszlo Papp Reka Juhasz Sonja Travar Erich Sorantin Alexander Kolli Department of Radiology and Nuclear Medicine UK-SH Campus KielGermany Mediso Medical Imaging System Department of Image Processing and Computer Graphics University of SzegedHungary Clinical Center Vojvodina University of Novi SadSerbia Research Unit for Digital Information and Image Processing University Clinic for RadiologyMedical U

A method was proposed in order to process and classify CT slices representing funnel chest deformities. A manually chosen CT slice was processed to detect the inner curvature of the chest for characterization. Normalized data from the detected inner curvature was gained and saved next to a manually-given deformity type for further classifications. Based on the multiple correlations of the values gained from the inner curvature, a hierarchical classification was performed on 199 patient data. Results have shown that the calculated values gained from the inner curvature can accurately characterize the deformity type of the chest. Since minimal user interaction was necessary to detect and characterize the inner curvature, our method is considered to be an effective automated procedure for funnel chest deformity classifications.

关键词： Spirals Computed tomography Biomedical imaging image processing Picture archiving and communication systems image segmentation Radiology Medical control systems Heart Shape

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Learning a nonlinear color distance metric for the identification of skin immunohistochemical staining

Learning a nonlinear color distance metric for the identific...

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2009 22nd IEEE International Symposium on computer-Based Medical Systems, CBMS 2009

作者： Sobieranski, Antonio Carlos Neto, Sylvio Luiz Mantelli Coser, Leandro Comunello, Eros Von Wangenheim, Aldo Cargnin-Ferreira, Eduardo Di Giunta, Gabriella LAPIX Laboratory of Image Processing and Computer Graphics UFSC Federal University of Santa Catarina Brazil CPTEC Center for Weather Forecasts and Environment Studies INPE - Brazilian Institute for Space Research Brazil EGC Knowledge Engineering Department UFSC - Federal University of Santa Catarina Brazil MCA Graduate Program in Applied Computer Science UNIVALI - Itajai Valley University Brazil Laboratory of Histological Markers Department of Biology Embriology and Genetics UFSC - Federal University of Santa Catarina Brazil Pathology Service UFSC - Federal University of Santa Catarina Brazil

ISBN: (纸本)9781424448784

This paper presents a semiautomatic method for the identification of immunohistochemical (IHC) staining in digitized samples. The user trains the system by selecting on a sample image some typical positive stained regions that will be used as a reference for the construction of a distance metric. In this learning process, the global optimum is obtained by induction employing higher polynomial terms of the Mahalanobis distance, extracting nonlinear features of the IHC pattern distributions. The results of the proposed method showed a high correlation to a pathologist's manual analysis, which was used as a golden standard, presenting a more robust discrimination between stained and non-stained areas with little bias. © 2009 IEEE.

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Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking

Forward-backward sequential Monte Carlo smoothing for joint ...

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2009 12th International Conference on Information Fusion, FUSION 2009

作者： Clark, Daniel E. Ba, Tuong Vo Ba, Ngu Vo Joint Research Institute in Signal and Image Processing School of Engineering and Physical Sciences Heriot-Watt University United Kingdom School of Electrical Electronic and Computer Engineering University of Western Australia 35 Stirling Hwy Crawley WA 6009 Australia Department of Electrical and Electronic Engineering University of Melbourne Parkville VIC 3052 Australia

ISBN: (纸本)9780982443804

The problem of jointly detecting whether a target is present in a scene and, if there is, estimating its state can be viewed as a multi-object estimation problem where there is a maximum of one target. This joint detection and estimation problem can be solved using a special case of the multi-object Bayes filter. In this paper we investigate the joint target detection and estimation problem with forward-backward smoothing and propose a sequential Monte Carlo implementation. Finite Set Statistics not only facilitates the development of appropriate joint detection and estimation filters, but also the direct extension of these filtering solutions to their related smoothing counterparts. Preliminary results indicate that using the smoothing has two distinct advantages over just using filtering: Firstly, we are able to more accurately identify the appearance and disappearance of a target in the scene and secondly, we can provide improved state estimates when the target exists. ©2009 ISIF.

关键词： Monte Carlo methods

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New simulation models for non-isotropic scattering mobile-to-Mobile rayleigh fading channels 09

New simulation models for non-isotropic scattering mobile-to...

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2009 ACM International Wireless Communications and Mobile Computing Conference, IWCMC 2009

作者： Cheng, Xiang Laurenson, David I. Salous, Sana Vasilakos, Athanasios V. Joint Research Institute for Signal and Image Processing School of EPS Heriot-Watt University Edinburgh EH14 4AS United Kingdom Center for Communication Systems University of Durham Durham DH1 3LE United Kingdom Department of Computer and Telecommunications Engineering University of Western Macedonia Kozani GR 50100 Greece

ISBN: (纸本)9781605585697

To simulate mobile-to-mobile (M2M) Rayleigh fading channels under more realistic scenario of non-isotropic scattering, we propose one deterministic and one stochastic sumof- sinusoids (SoS) based simulation models. The proposed models extensively consider the distributions of the angle of arrival (AoA) and the angle of departure (AoD), and thus show a good approximation to the desired statistical properties of the reference model. Copyright 2009 ACM.

关键词： Rayleigh fading

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Detection of Rock Fractures Junction in Gray-Level images

Detection of Rock Fractures Junction in Gray-Level Images

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Congress on image and Signal processing, CISP

作者： Minghao Liu W. B. Jin W. X. Wang Sino-Korea Chongqing GIS Research Center College of Computer Science Chongqing University of Posts and Telecommunications Chongqing China Institute of Image Processing College of Computer Science Chongqing University of Posts and Telecommunications Chongqing China

Rock fractures junctions are important objects for detection of rock fracture. Traditionally, junction detectors are devoted to the step-edge corners. Such corners are usually located using a Laplascian operator (zero-crossings or extrema) or a curvature measure based on the gradient direction. However, the gradient direction of a line does not exist, and a line junction does not correspond to a zero-crossing of the Laplacian. Consequently, step-edge corner detectors are not suitable for line junctions. Their response to a single line junction is not unique. There are other methods to detect the junction. Most of them find L-shaped corners, but create multiple or no responses for more complex junctions. This paper proposes a robust detection method for gray-level line junction which is called the neighborhood pixel-track algorithm. Examples are provided based on experiments with synthetic and real images. The achieved results demonstrate that such junction detection algorithm can successfully identify T-and Y-junctions, and of degree four X-junctions or more complex intercross of rock fractures.

关键词： Detectors Educational institutions computer science Atmospheric measurements Geologic measurements Pollution measurement Detection algorithms Radioactive pollution Earth image edge detection

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A layered approach to robust lane detection at night

A layered approach to robust lane detection at night

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IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, CIVVS

作者： Amol Borkar Monson Hayes Mark T. Smith Sharathchandra Pankanti Center of Signal and Image Processing (CSIP) Georgia Institute of Technology USA Department of Communication Systems KTH Swedish Royal Institute of Technology Sweden Exploratory Computer Vision Group (ECVG) IBM Thomas J. Watson Research Center USA

A layered approach is designed to address many of the real-world problems that an inexpensive lane detection system would encounter. A region of interest is first extracted from the image followed by an enhancement procedure to manipulate the shape of the lane markers. The extracted region is then converted to binary using an adaptive threshold. A model based line detection system hypothesizes lane position. Finally, an iterated matched filtering scheme estimates the final lane position. The developed system shows good performance when tested on real-world data that contains fluctuating illumination and a variety of traffic conditions.

关键词： Robustness image edge detection Cameras image converters Lighting Road accidents Automobiles Pixel Road transportation image segmentation

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Free-Form Deformation with Rational DMS-Spline Volumes

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Journal of computer Science & Technology 2008年第5期23卷 862-873页

作者：徐岗汪国昭陈小雕 Institute of Computer Graphics and Image Processing Zhejiang University Department of Mathematics Zhejiang University College of Computer Science Hangzhou Dianzi University INRIA Nancy France

In this paper, we propose a novel free-form deformation （FFD） technique, RDMS-FFD （Rational DMS-FFD）, based on rational DMS-spline volumes. RDMS-FFD inherits some good properties of rational DMS-spline volumes and combines more deformation techniques than previous FFD methods in a consistent framework, such as local deformation, control lattice of arbitrary topology, smooth deformation, multiresolution deformation and direct manipulation of deformation. We first introduce the rational DMS-spline volume by directly generalizing the previous results related to DMS-splines. How to generate a tetrahedral domain that approximates the shape of the object to be deformed is also introduced in this paper. Unlike the traditional FFD techniques, we manipulate the vertices of the tetrahedral domain to achieve deformation results. Our system demonstrates that RDMS-FFD is powerful and intuitive in geometric modeling.

关键词： free-form deformation rational DMS-spline volume control lattice of arbitrary topology multiresolution deformation direct manipulation

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Approximate merging of multiple Bézier segments

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Progress in Natural Science:Materials International 2008年第6期18卷 757-762页

作者： Min Chenga,b,Guojin Wanga,* ainstitute of computer graphics and image processing,Zhejiang University,Hangzhou 310027,China bCollege of Science,Zhejiang University of Technology,Hangzhou 310032,China Institute of Computer Graphics and Image Processing Zhejiang University Hangzhou 310027 China College of Science Zhejiang University of Technology Hangzhou 310032 China

This paper deals with the approximate merging problem of multiple adjacent Bézier curves with dierent degrees by a single Bézier curve,which is a frequently seen problem in *** unified matrix representation for precise merging is presented and the approx-imate merging curve is further derived based on matrix *** at the endpoints of curves is also discussed in the merging *** show that the method in this paper achieves satisfying merging results.

关键词： computer-aided geometric design Bézier curve Approximate merging Matrix representation

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Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking

Forward-backward sequential Monte Carlo smoothing for joint ...

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International Conference on Information Fusion

作者： Daniel E. Clark Ba Tuong Vo Ba Ngu Vo Joint Research Institute in Signal & Image Processing School of Engineering & Physical Sciences Heriot-Watt University UK School of Electrical Electronic & Computer Engineering University of Western Australia Crawley WA Australia Department of Electrical & Electronic Engineering University of Melbourne Parkville VIC Australia

ISBN: (纸本)9780982443804

关键词： Monte Carlo methods Smoothing methods Object detection Target tracking Nonlinear filters Filtering State estimation Layout Current measurement Delay estimation

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