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International Workshop on Education Technology and computer Science, ETCS

作者： Jianhao Ding Yigang Wang Lingyun Yu State Key Laboratory of CAD & CG University of Zhejiang Hangzhou China Institute of Computer graphics and Image Processing Hangzhou Dianzi University Hangzhou China Department of Mathematics and Computing Science University of Groningam Netherlands

ISBN: (纸本)9781424463886;9780769539874

Skeleton extraction is essential for general shape representation. A typical skeletonization algorithm should obtain the ability to preserve original object's topological and hierarchical properties. However, most of current methods are high memory cost, computationally intensive, and also require complex data structures. In this paper, we propose an efficient and accurate skeletonization method for the skeleton feature points extracted from human body based on silhouette images. First, the gradient of distance transform is used to detect critical points inside the foreground. Then, we converge and simplify critical points in order to generate the most important and elegant skeleton feature points. Finally, we present an algorithm which connects the skeleton feature points and estimates the position of skeleton joints.

关键词： Humans Skeleton Joints Iterative algorithms Euclidean distance Data mining Motion analysis image converters Shape Feature extraction

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Optimal sub-shape models by minimum description length

Optimal sub-shape models by minimum description length

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： G. Langs P. Peloschek H. Bischof Institute for Computer Graphics and Vision Graz University of Technology Graz Austria Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria Department of Clinical Radiology Vienna Medical University Vienna Austria

Active shape models are powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowledge in an efficient and gainful way. However, due to the linearity of PCA, non-linearities like rotations or independently moving sub-parts in the data can deteriorate the resulting model considerably. Although non-linear extensions of active shape models have been proposed and application specific solutions have been used, they still need a certain amount of user interaction during model building. In this paper the task of building/choosing optimal models is tackled in a more generic information theoretic fashion. In particular, we propose an algorithm based on the minimum description length principle to find an optimal subdivision of the data into sub-parts, each adequate for linear modeling. This results in an overall more compact model configuration. Which in turn leads to a better model in terms of modes of variations. The proposed method is evaluated on synthetic data, medical images and hand contours.

关键词： Active shape model Biomedical imaging Principal component analysis computer vision Linearity Polynomials Pattern recognition computer graphics Radiology image processing

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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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Preface [Special issue intro.]

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IEEE Transactions on Pattern Analysis and Machine Intelligence 1979年第2期PAMI-1卷 125-126页

作者： Y. T. Chien Theodosios Pavlidis Guest Editor Professor and Head of the Department of Electrical Engineering and Computer Science. Guest Editor member of the Association for Computing Machinery and Sigma Xi member of the editorial committee of the IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE Associate Editor of the Bulletin of Mathematical Biology Computer Graphics and Image Processing and Pattern Recognition.

This Special Issue is composed of the papers selected from the 1978 IEEE computer Society Workshop on Pattern Recognition (PR) and Artificial Intelligence (Al) held in Princeton, NJ, April 12-14, 1978. The Workshop was sponsored by the Technical Committee on Machine Intelligence and Pattern Analysis. Inevitably, the contributors to the Workshop determined, to a large degree, the tone and complexion of this Special Issue. For this reason, a brief account of the Workshop Proceedings, though now history, is given. About half of the papers presented at the Workshop were also submitted for the Special Issue, a total of 37. Those of high quality were far more than the number that could be accommodated within the available number of pages. We decided to choose three topics where the interaction between the methodologies of PR and Al was most prevelant: analysis of images, analysis of speech, and certain general algorithms. All the selected papers present either theoretical, or experimental results, or both. We felt that such results clearly demonstrate the progress achieved and can be seen as very impressive if measured against the difficult problem of emulating functions associated with human intelligence by machines. It is true that they often fall short from some of the earlier ambitious goals, but the time is probably ripe to reexamine such goals in view of the accumulated experience. The following is a brief scanning of the contents of this issue, especially as related to the integration and/or interaction of PR and Al methodologies.

关键词： Artificial intelligence Pattern recognition image analysis Speech analysis Conferences Labeling Machine intelligence Algorithm design and analysis image edge detection computer Society

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Using Laplacian spectrum to analyse the comorbidities network of hemorrhagic stroke

Using Laplacian spectrum to analyse the comorbidities networ...

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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Attila Bérczes Tamás Bérczes Imre Varga Attila Tiba Judit Zsuga Institute of Mathematics University of Debrecen Debrecen Hungary Department of Information Technology University of Debrecen Debrecen Hungary Department of Computer Graphics and Image Processing University of Debrecen Debrecen Hungary Department of Health Systems Management and Quality Management in Health Care University of Debrecen Debrecen Hungary

We analyze a database containing medical data of patients who suffered hemorrhagic stroke. From the original database we built the corresponding comorbidities network, and we analyzed this network using a graph theore... 详细信息

ISBN: (数字)9781728147932

ISBN: (纸本)9781728147949

关键词： Eigenvalues and eigenfunctions Laplace equations Hemorrhaging Symmetric matrices Databases Diseases Medical diagnostic imaging

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Live Cell Segmentation in Fluorescence Microscopy via Graph Cut

Live Cell Segmentation in Fluorescence Microscopy via Graph ...

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International Conference on Pattern Recognition

作者： Milán Leskó Zoltan Kato Antal Nagy Imre Gombos Zsolt Török Laszlo Vigh Jr László Vígh Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary Molecular Stress Biology Group Institute of Biochemistry Biological Research Center Hungarian Academy of Sciences (ATOMKI) Hungary Molecular Stress Biology Group Biological Research Center

We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is sub modular. Thus the exact energy minima is obtained via a max-flow/min-cut algorithm. The method has been quantitatively evaluated on synthetic images as well as on fluorescence microscopic images of live cells.

关键词： image segmentation Microscopy Pixel Computational modeling Mathematical model Biomembranes Biology

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Correction: Sufficient Conditions for Topology-Preserving Parallel Reductions on the Face-Centered Cubic Grid

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Journal of Mathematical Imaging and Vision 2024年第3期66卷 1-1页

作者： Karai, Gábor Kardos, Péter Palágyi, Kálmán Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary

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New class of minimal surfaces and their application in membrane structure design

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Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering 2008年第6期16卷 930-936页

作者： Xu, Gang Wang, Guozhao College of Computer Hangzhou Dianzi University Hangzhou 310018 China Department of Mathematics Institute of Computer Graphics and Image Processing Zhejiang University Hangzhou 310027 China

A new class of quintic minimal surfaces with two shape parameters was proposed. We proved that the minimal surfaces were isothermal parameter surfaces and harmonic surfaces. The symmetry and the self-intersection properties of the minimal surfaces were studied. We investigated the distributions of Gaussian curvature and hyperbolic points of these minimal surfaces, and analysised the effects of the two shape parameters through graphic examples. The control mesh representations of the minimal surfaces are given by tensor product Bézier surface and triangular Bézier surface. Finally, we presented their application in modeling of tensioned membrane structure. The result not only enriched the theory of minimal surface in differential geometry, but also enhanced the application of minimal surfaces in CAD systems.

关键词： computer aided design

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computer graphics in Germany

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computer graphics (ACM) 2001年第3期35卷 14-21页

作者： Saupe, Dietmar Alexa, Marc Chesnais, Alain Encarnação, Jose Institut für Informatik Universität Leipzig GRIS Technische Universität Darmstadt University of Leipzig Research Group on Computer Graphics and Image Processing Alias Wavefront 17 bis rue Joseph de Maistre 75018 Paris France Fraunhofer-Institut fuer Graphische Datenverarbeitung Wilhelminenstrasse 7 D-64283 Darmstadt Germany 3D Graphics Computing Department of Computer Science Technische Universität Darmstadt

The various institution and developments in the field of computer graphics in Germany is discussed. The German Research Foundation( DFG), as recognition of research in computer graphics, sponsors a special interdisciplinary graduates study program on 3D image analysis and synthesis at the University of Erlangen-Nuremburg. The German Association for Informatics, founded in 1983, brings together about 40 representatives from Universities, colleges and industry that co-ordinate activities form five subgroups specializing in foundations and systems, imaging and visualization, graphical user interfaces, simulation and animation, and geometric modeling. Several companies and forums working in the area of computer graphics are situated in Darmstadt.

关键词： computer graphics

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A Non-Linear Diffeomorphic Framework for Prostate Multimodal Registration

A Non-Linear Diffeomorphic Framework for Prostate Multimodal...

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Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： Jhimli Mitra Zoltan Kato Robert Marti Arnau Oliver Xavier Llado Soumya Ghose Joan C. Vilanova Fabrice Meriaudeau Computer Vision and Robotics Group Universitat de Girona Girona Spain Le2i-UMR CNRS 5158 Université de Bourgogne Le Creusot France Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary Girona Magnetic Resonance Center Girona Spain

This paper presents a novel method for non-rigid registration of prostate multimodal images based on a nonlinear framework. The parametric estimation of the non-linear diffeomorphism between the 2D fixed and moving images has its basis in solving a set of non-linear equations of thin-plate splines. The regularized bending energy of the thin-plate splines along with the localization error of established correspondences is jointly minimized with the fixed and transformed image difference, where, the transformed image is represented by the set of non-linear equations defined over the moving image. The traditional thin-plate splines with established correspondences may provide good registration of the anatomical targets inside the prostate but may fail to provide improved contour registration. On the contrary, the proposed framework maintains the accuracy of registration in terms of overlap due to the non-linear thin-plate spline functions while also producing smooth deformations of the anatomical structures inside the prostate as a result of established corrspondences. The registration accuracies of the proposed method are evaluated in 20 pairs of prostate mid-gland ultrasound and magnetic resonance images in terms of Dice similarity coefficient with an average of 0.982 ± 0.004, average 95% Hausdorff distance of 1.54 ± 0.46 mm and mean target registration and target localization errors of 1.90±1.27 mm and 0.15 ± 0.12 mm respectively.

关键词： Biopsy Magnetic resonance imaging Equations Spline Glands High definition video Accuracy

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