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Biannual International Conference on Pattern Recognition, 1988

作者： Vilser, Rolf-Jürgen Creutzburg, Reiner Gössel, Michael Grundmann, Hans-Jörg Central Institute of Cybernetics and Information Processes International Basic Laboratory for Image Processing and Computer Graphics Academy of Sciences of the G.D.R. Kurstr. 33 P.O.Box 1298 BerlinDDR - 1086 Germany Institute of Cosmic Research Satellite Ground Station Academy of Sciences of the G.D.R. Kalkhorstweg Neustrelitz 5DDR - 2080 Germany

The implementation of the blockwise Matrix multiplication of images (Walsh transformation, Hadamard transformation a.s.o.) is described. To achieve a high accuracy residue arithmetics is used. © 1989, Springer-Ve... 详细信息

ISBN: (纸本)9783540518150

关键词： Linear transformations

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Method for automatically segmenting the spinal cord and canal from 3D CT images

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11th International Conference on computer Analysis of images and Patterns, CAIP 2005

作者： Nyúl, Lászlo G. Kanyó, Judit Máté, Eörs Makay, Géza Balogh, Emese Fidrich, Márta Kuba, Attila Department of Image Processing and Computer Graphics University of Szeged Árpád tér 2 H-6720 Szeged Hungary Clinical Software Engineering GE Medical Systems Lajos u. 48-66 H-1036 Budapest Hungary Institute of Mathematics University of Szeged Aradi vértanuk tere 1 H-6720 Szeged Hungary

ISBN: (纸本)3540289690

We present two approaches for automatically segmenting the spinal cord/canal from native CT images of the thorax region containing the spine. Different strategies are included to handle images where only part of the spinal column is visible. The algorithms require one seed point given on a slice located in the middle region of the spine, and the rest is automatic. The spatial extent of the spinal cord/canal is determined automatically. An extended region-growing technique is suggested for segmenting the spinal canal while active contours are applied if the spinal cord is to be segmented. Both methods work in 2D and use propagated information from neighboring slices. They are also very rapid in execution, that means an efficient, user-friendly workflow. The methods were evaluated by radiologists and were found to be useful (in reducing/eliminating contouring labor and time) and met the accuracy and repeatability requirements for the particular task. © Springer-Verlag Berlin Heidelberg 2005.

关键词： computerized tomography

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Knot modifications of B-spline or NURBS Surface

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Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of computer-Aided Design and computer graphics 2005年第5期17卷 986-989页

作者： Li, Yajuan Wang, Guozhao Department of Mathematics Institute of Computer Graphics and Image Processing Zhejiang University Hangzhou 310027 China

Modifying some knots of a B-spline or NURBS surface of order k×h to generate a family of B-spline or NURBS surface is presented. We show that the envelope of the family is a B-spline or NURBS surface defined by the same control points, and its order is (k-a)×(h-b), where a, b are the multiplicity of the modified knots. Moreover, any order partial derivatives of the B-spline surface and the family of B-spline surfaces differ only in a multiplier. The presented results can be served as a theoretical guidance for surface modeling and shape modifications in computer aided design today.

关键词： B-spline surface Envelope Knots modification NURBS surface Shape modifications

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Mobile robot localization under varying illumination

Mobile robot localization under varying illumination

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International Conference on Pattern Recognition

作者： M. Jogan A. Leonardis H. Wildenauer H. Bischof Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia Pattern Recognition and Image Processing Group Institute for Computer Aided Automation University of Technology Vienna Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

Methods for mobile robot localization that use eigenspaces of panoramic snapshots of the environment are in general sensitive to changes in the illumination of the environment. Therefore, we propose an approach which achieves a reliable localization under severe illumination conditions. The method uses gradient filtering of the eigenspace. After testing the approach on images obtained by a mobile robot, we show that it outperforms the standard eigenspace-based recognition method.

关键词： Mobile robots Lighting computer vision Filter bank image recognition Indoor environments Pattern recognition image processing computer graphics Information science

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Active Feature Models

Active Feature Models

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International Conference on Pattern Recognition

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

ISBN: (纸本)0769525210

In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are related to active appearance models, but instead of modelling the entire texture of an object they represent image texture by means of local descriptors. The approach has advantages with complex image data like anatomical structures that exhibit high texture variation with limited relevance for the recognition of the object location. Experimental results and the comparison to AAMs on different data sets indicate that active feature models can improve search speed and result accuracy, considerably

关键词： Shape Active appearance model Biomedical imaging image texture image edge detection image texture analysis computer graphics Pattern recognition image processing Radiology

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Geometric parameters based cubic PH curve interpolation and approximation

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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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Relevance concept based image annotation refinement algorithm

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ICIC Express Letters 2015年第11期9卷 3023-3029页

作者： Song, Haiyu Li, Houjie Bao, Cuizhu Wang, Pengjie Li, Mengying Qu, Zhaowei Institute of Computer Graphics and Image Processing Dalian Nationalities University Economic and Technological Development Zone No. 18 Liaohe Road Dalian China College of Traffic Jilin University No. 148-3 Renmin Avenue Changchun China

Automatic image annotation (AIA) is a promising solution to retrieve, organize and manage image data. What is more, AIA can make it possible for relational database system to manage non-structure image data. However, the performances of state-of-the-art image annotation approaches are often unsatisfactory. image annotation refinement can further improve the performance of image annotation by removing noisy annotation words. The correlation measurement of candidate annotation is core technology of image annotation refinement. To our knowledge, most of existing approaches only exploit textual information such as semantic similarity or co-occurrence probability of candidate annotation words. Different from traditional approaches, we propose visual-modal relevance concept of candidate textual-modal annotations words, and apply to measure correlations of candidate annotations. Experiments on standard Corel5K dataset show that our proposed approach outperforms other mainstream annotation refinement approaches based on textual information. Moreover, the performance of our proposed approach is very close to the limited performance. © 2015 ICIC International.

关键词： image annotation

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Research and Design of Drawings Retrieval System Based on Spatial Relationships and Shape

Research and Design of Drawings Retrieval System Based on Sp...

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ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM

作者： Haiyu Song Pengjie Wang Xiongfei Li Houjie Li Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China The Research Institute of Computer Graphics and Image Processing Dalian Nationalities of University Dalian Liaoning China

CAD drawings reuse is of great importance in promoting design efficiency and productivity. The ability to retrieve CAD drawings is the core of drawings reuse task. Most of the existing drawings retrieval systems rely only on text descriptions. Due to complexity of visual feature, a little system is based on content. A simplified topological relationship is proposed to describe visual features for dimension reduction. An effective topological relationship vector is constructed by graph spectra. A novel retrieval system based on visual contents, including topological relationships, shape, and directional relationships, is proposed. The experiments show that the proposed approach and system are superior to the text-based and traditional content-based retrieval systems.

关键词： Shape Feature extraction Topology Indexing Design automation Data mining Visualization

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Automatic Surveying of Cutaneous Hemangiomas

Automatic Surveying of Cutaneous Hemangiomas

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International Conference on Pattern Recognition

作者： S. Zambanini G. Langs R. Sablatnig P. Donath H. Maier Pattern Recognition and Image Processing Group University of Technology Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Austria Division of Special and Environmental Dermatologyy Medical University of Vienna Austria

This paper presents a method for the fully automatic surveying of cutaneous hemangiomas by means of a hemangioma segmentation and a ruler visible in the images. The algorithm computes the spatial resolution of an image. Hemangioma segmentation is accomplished by a single-layer perceptron classification by means of pixel color features. The algorithm was evaluated on a set of 120 images. It achieves satisfactory results on images with clearly visible, saturated hemangiomas

关键词： image segmentation Neoplasms Pattern recognition Spatial resolution Lesions Area measurement Pixel image processing computer graphics Biomedical imaging

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Extraction of Human Body Skeleton Based on Silhouette images

Extraction of Human Body Skeleton Based on Silhouette Images

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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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