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the patchwork engine: image segmentation from shape symmetries

NEURAL NETWORKS 2000年第3期13卷 291-303页

作者： van Tonder, GJ Ejima, Y Kyoto Univ Lab Cognit Sci Grad Sch Human & Environm Studies Sakyou Ku Kyoto 6068501 Japan

We propose blind segmentation of images into shape-related 'patches' based on pre-calculated local symmetries (Van Tender, G.J. & Ejima, Y. (1999). (Forthcoming a) Flexible computation of shape symmetries. Submitted for publication) in shape boundary contours. First, lateral weights between all points in the boundary contour map are assigned analogous to Euclidean distance maps in watershed segmentation (Beucher, S. & Lantejoul, C. (1979). Use of watersheds in contour detection. proceedings of the International Workshop on image processing, CCETT, Rennes, France.). Lateral weights are then used to: (1) extract local maxima in symmetries;(2) link maxima within locally enclosed boundary contours;and (3) reconstruct shape contours using symmetry maxima as 'seeds'. the new model overcomes weaknesses of watershed segmentation. the new model closes gaps in relatively more solid image contours, but it is fundamentally different from methods based on contour interpolation (Grossberg, S., Mingolla, E. & Todorove, D. (1989). A neural network architecture for preattentive vision, IEEE Transactions on Biomedical Engineering 36, 65-84;Heitger, F. & von der Heydt, R. (1993). A computational model of neural contour processing: figure-ground segregation and illusory contours. proceedings of the Fourth International conference on computer vision, IEEE computer Society Press, Washington D.C. (pp. 32-40)). images are segmented into shape-relevant color-by-number-like patches which compare well to related methods (Gauch, J. & Pizer, M. (1993). the intensity axis of symmetry and its application to image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 15 (8), 753-770;Ilg, W. & Ogniewicz, R. (1995). the application of Voronoi skeletons to perceptual grouping in line images, proceedings of the 11th International conference on Pattern Recognition, the Hague, the Netherlands, pp. 382-385;Zhu, S.C. & Yuille, A.L. (1996) FORMS: a flexible object recognition and mo

关键词： boundary reconstruction image segmentation lateral connections symmetry axes shape centroid

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Content-based retrieval from medical image databases: a synergy of human interaction, machine learning and computer vision

Proceedings of the National Conference on Artificial Intelli...

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proceedings of the National conference on Artificial Intelligence 1999年 760-767页

作者： Brodley, C. Kak, A. Shyu, C. Dy, J. Broderick, L. Aisen, A.M. Purdue Univ West Lafayette United States

ISBN: (纸本)0262511061

Content-based image retrieval (CBIR) refers to the ability to retrieve images on the basis of image content. Given a query image, the goal of a CBIR system is to search the database and return the n most visually similar images to the query image. In this paper, we describe an approach to CBIR for medical databases that relies on human input, machine learning and computer vision. Specifically, we apply expert-level human interaction for solving that aspect of the problem which cannot yet be automated, we use computer vision for only those aspects of the problem to which it lends itself best - image characterization - and we employ machine learning algorithms to allow the system to be adopted to new clinical domains. We present empirical results for the domain of high resolution computed tomography (HRCT) of the lung. Our results illustrate the efficacy of a human-in-the-loop approach to image characterization and the ability of our approach to adapt the retrieval process to a particular clinical domain through the application of machine learning algorithms.

关键词： image processing

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Exploiting image processing locality in cache pre-fetching 5

Exploiting image processing locality in cache pre-fetching

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5th International conference on High Performance Computing

作者： Cucchiara, R Piccardi, M Univ Ferrara Dipartimento Ingn I-44100 Ferrara Italy

ISBN: (纸本)0818691948

Emerging trends in computer design attempt to include specific solutions for handling images also in general-purpose computers, because of the current spread of multimedia, image processing and computer graphics applications. In this context, this paper proposes hardware pre-fetching techniques specific for caching images: the main issue we state is that most algorithms working opt images exhibit a 2D spatial locality that is not taken into account in current cache organization and data access strategies. To this aim we propose an adaptive local pre-fetching for the image data type;this technique, mirroring the two-dimensional spatial locality of image processing algorithms, results to be more efficient than other approaches, such as sequential pre-fetching and adaptive pre-fetching. Performance is evaluated on different classes of image processing algorithms, namely raster-scan and propagative algorithms, common in computer vision and multimedia applications.

关键词： General purpose computers

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MODEL-BASED image-CODING

MODEL-BASED IMAGE-CODING

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conference on Visual Communications and image processing 94

作者： AIZAWA, K UNIV TOKYO DEPT ELECT ENGNBUNKYO KUTOKYO 113JAPAN

ISBN: (纸本)081941638X

Historically. progress in image coding tecliniqnes has been made by incorporating resnits from other fields SUCh as information theory. Most of the existing coding methods such as predictive coding. transform coding, and vector quantization belong to information-theory-based methods in which image signals are considered as ranidoni signals aiid compressed by exploiting their stochastic properties. Apart from these iiiformation-tlieoretic coding iniethods, research on new approaches such as modelbased coding (which is related to 1)0th image analysis and computer graphics) has recently intensified. An essential difference between conventional coding methods and these new approaches is the image model they assume. Contrary to conventional coding methods which efficiently represent 2-D waveforms of image signals model-based co ding represent iniage signals using structural image models which take into accomit the 3-D properties of the scene in some sense. there have been two major approaches to model-based image coding. One approach uses general niodels such as planar patches and sniooth surfaces to represent the 3-D properties of the oI)jects [11, 19, 28. 31, 33. 36, 39. 40, 43]. the other approach utilizes detailed 1)arameterized 3-D object models such as a parameterized facial model [2. 6, 13. 15. 17, 22. 24. 2G. 32, 35. 41. 47, 48. 49. 51. 54]. TIne former approach has been discussed in the context of advanced motion compensation. the latter approach is clearly different from the conventional approaches. since it uses an explicit 3—D model and encodes images with coniputer—vision— Oiieiite(il tecliniques an(I 1eJ)1()(luces iniages with colnj)uter—grapllics—oriented techniques . Both approaches will potentially achieves very low l)it rate video compression. Iii the following sectionis. unage co(ling schemes are described froni the point of view of their associated image IIli)delS. Amoiig our works related to these paradignins in the Univ. of Tokyo [2. 3, 4. 8, 9, 10,

关键词： 3D modeling Motion models image compression Model-based design 3D image processing Data modeling image analysis Motion estimation Solid modeling Systems modeling

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LOW AND INTERMEDIATE-LEVEL image-processing ON SYMPATIX, A SIMD PARALLEL computer 11

LOW AND INTERMEDIATE-LEVEL IMAGE-PROCESSING ON SYMPATIX, A S...

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conference D: Architectures for vision and Pattern Recognition, at the 11th IAPR International conference on Pattern Recognition

作者： COLLETTE, T ESSAFI, H JUVIN, D KAISER, J CE SACLAY DEINCEALETIF-91191 GIF SUR YVETTEFRANCE

ISBN: (纸本)0818629258

To overcome the main drawbacks of parallel SIMD image processing architectures, a new computer, called SYMPATIX, is proposed. Our goal is to implement low and intermediate levels of image processing on a SIMD computer. A study lead us to propose a network establishing asynchronous communications in a synchronous parallel structure. the performances of SYMPATIX have been evaluated on a VHDL model of the new computer. the machine supports image processing operations and image transforms. the design of the circuits is under progress using electronic synthesis tools. © 1992 IEEE.

关键词： computer architecture

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VIDEO RECORDING AND DIGITAL image-processing IN ANALYZING AIR-FLOWS 11

VIDEO RECORDING AND DIGITAL IMAGE-PROCESSING IN ANALYZING AI...

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conference A: computer vision and Applications, at the 11th IAPR International conference on Pattern Recognition

作者： HEIKKONEN, J LAPPEENRANTA UNIV TECHNOL DEPT INFORMAT TECHNOLSF-53850 LAPPEENRANTAFINLAND

ISBN: (纸本)081862910X

In this paper, a new method for analyzing air flows is proposed. this method is based on tracer gas technique, videorecording and digital image processing. By assuming that the tracer gas cloud simulates the air movement we can recover the three-dimensional profile and the velocity field of a air flow by analyzing a picture sequence of a tracer gas cloud. All required stages and algorithms of this analyzing process are presented, including some experimental results. © 1992 IEEE.

关键词： Video recording

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AN image-ANALYSIS BASED MEthOD TO EVALUATE GRAVURE PAPER QUALITY 11

AN IMAGE-ANALYSIS BASED METHOD TO EVALUATE GRAVURE PAPER QUA...

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conference A: computer vision and Applications, at the 11th IAPR International conference on Pattern Recognition

作者： LANGINMAA, A TECH RES CTR FINLAND GRAPH ARTS LABSF-02151 ESPOOFINLAND

ISBN: (纸本)081862910X

A method has been developed to find the so-called missing dots in a heliotest strip. Heliotest is a test print method which is used to determine the quality of gravure print paper. the developed method is based on image processing and supervised learning, requiring a 386-based MS/DOS computer, a commercial image processing board and software, a commercial co-ordinate table, a CCD camera, and lighting equipment. the method is now at the prototype stage. © 1992 IEEE.

关键词： CCD cameras

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IRS image SEGMENTATION - MINIMUM DISTANCE CLASSIFIER APPROACH 11

IRS IMAGE SEGMENTATION - MINIMUM DISTANCE CLASSIFIER APPROAC...

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conference A: computer vision and Applications, at the 11th IAPR International conference on Pattern Recognition

作者： MURthY, CA CHATTERJEE, N SHANKAR, BU MAJUMDER, DD INDIAN STAT INST NATL CTR KNOWLEDGE BASED COMPCALCUTTA 700035W BENGALINDIA

ISBN: (纸本)081862910X

A classification method for 1RS images is presented in this paper. the image is segmented into SIX classes using minimum distance classifier where the centres are chosen on the basis of spectral knowledge of the corresponding classes. Two bands (Green and Infrared) have been used for classification. the results are presented in the form of photographs. © 1992 IEEE.

关键词： image segmentation

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ARCHITECTURE OF thE KNOWLEDGE-BASED CONFIGURATION SYSTEM FOR image-ANALYSIS CONNY 11

ARCHITECTURE OF THE KNOWLEDGE-BASED CONFIGURATION SYSTEM FOR...

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conference A: computer vision and Applications, at the 11th IAPR International conference on Pattern Recognition

作者： LIEDTKE, CE BLOMER, A UNIV HANNOVER W-3000 HANNOVER 1GERMANY

ISBN: (纸本)081862910X

Prerequisite for an image analysis is the configuration of the image analysis system to meet the requirements of the specific task and the specific data material. this includes the selection of the operators and the adaptation of the free parameters. the system CONNY has been developed which performs this configuration process automatically based on a user specified task definition and general knowledge of an image analysis expert. the experts knowledge has been assessed, stored and used by employing different paradigms of explicit knowledge representation. © 1992 IEEE.

关键词： SYSTEM CONFIGURATION image processing computer vision KNOWLEDGE BASED image ANALYSIS EXPERT SYSTEMS

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A ROBUST image-processing APPROACH USED TO ALV ROAD FOLLOWING 11

A ROBUST IMAGE-PROCESSING APPROACH USED TO ALV ROAD FOLLOWIN...

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conference A: computer vision and Applications, at the 11th IAPR International conference on Pattern Recognition

作者： GU, WK LIUHUI WANGHUI ZHEJIANG UNIV DEPT INFORMAT & ELECTR ENGNHANGZHOU 310008PEOPLES R CHINA

ISBN: (纸本)081862910X

In this paper a noval and robust image processing approach used to ALV (Autonomous Land Vehicle) road following is presented. the approach can cope with illumination variation, bad road surface condition such as shadows, defects, dirt and water stains. And it is effective for the image of multi-branched road intersection. the approach consists of key technics: color band automatical selection, adaptive road area/egmentation, binary image post-processing, knowledge-based road trend line fitting. the approach is easy to implement in real time because its processing stages can be arranged into a pipeline. A set of experimental results is also presented in this paper. © 1992 IEEE.

关键词： SEGMENTATION ROAD FOLLOWING KNOWLEDGE-BASED image processing

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