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8th International Workshop on Database and Expert Systems Applications

作者： Andres, F Ono, K Makinouchi, A Kaneko, K R&D NACSIS Tokyo Japan

ISBN: (纸本)0818681489

This paper describes the design concept and the implementation of the imaging database Online image Delivery System (OLIDS). We propose a new framework to support vertically parallel image processing in multimedia database systems. We present a generic and customizable framework for specifying image query execution plan that permits the DBMS to optimize and to execute parallel image processing. Moreover, it is important to provide to the multimedia applications the capability to customize the information server according to their specific requirements. The capability to customize easily in a vertical way the multimedia information server according to new applications' requirements (i.e. new kinds of retrieval methods with uncertainty factor, new kinds of compression algorithms) also provides both challenges and opportunities in building high performance multimedia and image systems. Applications such as (Active hypermedia project) or MODOS (Museum project between LRMF (France), NMWA and NACSIS(Japan)) demonstrate the usefulness of the customizable feature of the Application-Oriented DBMS Phasme, a micro-kernel database system tested and extended inside NACSIS.

关键词： distributed database systems

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Optimal parallel watershed algorithm based on image integration and sequential scannings

Optimal parallel watershed algorithm based on image integrat...

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parallel and distributed methods for image processing

作者： Moga, Alina N. Gabbouj, Moncef Albert-Ludwigs-Universität Fakultät für Angewandte Wissenschaften Institut für Informatik Universität Gelände Flugplatz D-79085 Freiburg Germany Tampere University of Technology Signal Processing Laboratory P.O. Box 553 FIN-33101 Tampere Finland

Watershed transformation is a tool for image segmentation widely used in computer vision applications. However, the complexity of processing large images entails fast parallel algorithms. In this paper, an improved SPMD (single program multiple data) watershed algorithm based on image integration and sequential scannings is rendered. The task performed by the algorithm is an alternative to the classical simulated immersion for computing the watershed image. Although the technique converges slow on a single processor computer, due to the repeated raster and anti-raster scannings of the image, it performs much faster in parallel, when subimages of the global image are simultaneously processed. Additionally, a global connected components operation employed for the parallel labeling of the seeds for region growing increases the efficiency of the algorithm. Results of a message passing interface (MPI) implementation tested on a Cray T3D parallel computer demonstrate the resilience of the presented parallel design solution to increasing number of processors, as to larger image sizes. ©2005 Copyright SPIE - The International Society for Optical Engineering.

关键词： image segmentation

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Performance evaluation of parallel thinning algorithms based on PRAM model

Performance evaluation of parallel thinning algorithms based...

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parallel and distributed methods for image processing

作者： Rhee, Phill-Kyu La, Che-Woo Computer Science and Engineering Dept. Inha University Yong-Hyun Dong 253 Nam Ku Incheon Korea Republic of

The objective of thinning is to reduce the amount of information in image patterns to the minimum needed for recognition. Thinned image helps the extraction of important features such as end points, junction points, and connections from image patterns. The ultimate goal of parallel algorithms is to minimize the execution time while producing high quality thinned image. Though much research has been performed for parallel thinning algorithms, there has been no systematical approach for comparing the execution speed of parallel thinning algorithms. Several rough comparisons have been done in terms of iteration numbers. But, such comparisons may lead to wrong guides since the time required for iterations varies from one algorithm to the other algorithm. This paper proposes a formal method to analyze the performance of parallel thinning algorithms based on PRAM (parallel random access machine) model. Six parallel algorithms, which shows relatively high performance, are selected, and analyzed based on the proposed analysis method. Experiments show that the proposed analysis method is sufficiently accurate to evaluate the performance of parallel thinning algorithms. ©2005 Copyright SPIE - The International Society for Optical Engineering.

关键词： Formal methods

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Architecture for web-based image processing

Architecture for web-based image processing

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parallel and distributed methods for image processing

作者： Srini, Vason P. Pini, David Armstrong, Matt D. Alalusi, Sayf H. Thendean, John Ueng, Sain-Zee Bushong, David P. Borowski, Erek S. Chao, Elaine Rabaey, Jan M. Data Flux Systems Inc. MS 292 1678 Shattuck Ave. Berkeley CA 94709 United States University of California EECS Dept. Berkeley CA 94720 United States

A computer systems architecture for processing medical images and other data coming over the Web is proposed. The architecture comprises a Java engine for communicating images over the Internet, storing data in local memory, doing floating point calculations, and a coprocessor MIMD parallel DSP for doing fine-grained operations found in video, graphics, and image processing applications. The local memory is shared between the Java engine and the parallel DSP. Data coming from the Web is stored in the local memory. This approach avoids the frequent movement of image data between a host processor's memory and an image processor's memory, found in many image processing systems. A low-power and high performance parallel DSP architecture containing lots of processors interconnected by a segmented hierarchical network has been developed. The instruction set of the 16-bit processor supports video, graphics, and image processing calculations. Two's complement arithmetic, saturation arithmetic, and packed instructions are supported. Higher data precision such as 32-bit and 64-bit can be achieved by cascading processors. A VLSI chip implementation of the architecture containing 64 processors organized in 16 clusters and interconnected by a statically programmable hierarchical bus is in progress. The buses are segmentable by programming switches on the bus. The instruction memory of each processor has sixteen 40-bit words. Data streaming through the processor is manipulated by the instructions. Multiple operations can be performed in a single cycle in a processor. A low-power handshake protocol is used for synchronization between the sender and the receiver of data. Temporary storage for data and filter coefficients is provided in each chip. A 256 by 16 memory unit is included in each of the 16 clusters. The memory unit can be used as a delay line, FIFO, lookup table or random access memory. The architecture is scalable with technology. Portable multimedia terminals like U.C.

关键词： Table lookup

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SGI parallel technology for graphics and visualization

SGI parallel technology for graphics and visualization

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parallel and distributed methods for image processing

作者： Zarantonello, Sergio E. Silicon Graphics MS 580 2011 N. Shoreline Boulevard Mountain View CA 94043-1389 United States

This paper gives an overview of developments at Silicon Graphics in the areas of scalable multiprocessing and visualization. These developments are grounded in a scalable, shared memory architecture that allows a high degree of modularity and enormous flexibility of configuration. The first implementations of this architecture include graphics supercomputers with multiple processors and multiple graphics subsystems, that enable parallelism at all levels, including parallelism applied to single graphics tasks. We first describe this architecture and then discuss the characteristics of its first generation implementations. ©2005 Copyright SPIE - The International Society for Optical Engineering.

关键词： Visualization

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The compares project: Connectionist methods for preprocessing and analysis of REmote sensing data 9th

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9th International Conference on image Analysis and processing, ICIAP 1997

作者： Austin, J. Giacinto, G. Kanetlopoulos, I. Lees, K. Roli, F. Vernazza, G. Wilkinson, G. University of York United Kingdom University of Cagliari Sardinia Italy EC Joint Research Centre Ispra Italy Kingston University United Kingdom

ISBN: (纸本)3540635084

The European Concerted Action "COMPARES" (Concerted Action on COnnectionist methods for Preprocessing and Analysis of REmote Sensing Data) was hmded within the Environment and Climate Programme of the European Commission. The "COMPARES" project was aimed at focussing and coordinating future research at European level on the general theme of colmectionist computation in the field of Earth Observation (EO). Colmectionist computation can be interpreted as the use of artificial neural networks and parallel distributed processing systems. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Neural networks

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parallel implementation of fractal image compression

Parallel implementation of fractal image compression

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IEEE International Symposium on Consumer Electronics (ISCE)

作者： Toh Guan Nge Wong Kin Keong School of Electrical and Electronics Engineering Nanyang Technological University Singapore School of Applied Science Nanyang Technological University Singapore

ISBN: (纸本)0780343719

Digital images require a large amount of data to be represented. To make image storage and transmission practical and economical, image compression has become a major issue. In the past few years, several image compression methods using fractal theory have been developed. These methods promise better performances for compression. One of the most efficient approaches is based on iterated function systems (IFS), and has been promoted by Barnsley (1988). The basic idea is that an image can be reconstructed using the self-similarity it contains. A way to speed up the encoding process is to implement parallel processing using PVM (parallel virtual machine) software. The system utilizes both static and dynamic load allocations to obtain substantial compression time speedup over the original, sequential encoding implementation. In this paper, considerations such as PSNR, compression ratio, compression time versus number of processors and the workload granularity are also presented.

关键词： Fractals image coding Master-slave image storage parallel processing Compression algorithms distributed computing Digital images image reconstruction Virtual machining

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Arabic character recognition in a multi-processing environment

Arabic character recognition in a multi-processing environme...

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IEEE Symposium on Computers and Communications (ISCC)

作者： J. Alherbish R.A. Ammar M. Abdalla U-155 Computer Science and Engineering Department University of Connecticut Storrs CT USA Department of Electronics and Electrical Communication Zagazig University Egypt

Many Arabic character recognition systems have been proposed since the early eighties. Most systems reported high recognition rates, however, they overlooked a very important factor in the process; the speed factor. A parallel Arabic character recognition system is introduced. The goal of the system is to achieve both full accuracy and high speed. This has been accomplished by integrating the character recognition process with parallel processing and distributed computing concepts. Experimental results showed that the multi-processing environment is very promising in enhancing a sequential Arabic character recognition system performance.

关键词： Character recognition parallel processing Computer science Smoothing methods Feature extraction distributed computing System performance Real time systems Scholarships image recognition

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神经网络在图像压缩技术中的应用

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工程数学学报 1997年第3期14卷 67-80页

作者：刘春阳粱德群宋焕生吴更石西安交通大学电信学院

综述了神经网络作为图象压缩信号处理工具的方法。由于神经网络的大规模并行及其分布结构，使之成为解决数据压缩的有力工具；网络的特征与人类视觉系统的特征相类似，这就使我们更容易处理视觉信息。例如，多层感知可作为差分脉冲编码... 详细信息

综述了神经网络作为图象压缩信号处理工具的方法。由于神经网络的大规模并行及其分布结构，使之成为解决数据压缩的有力工具；网络的特征与人类视觉系统的特征相类似，这就使我们更容易处理视觉信息。例如，多层感知可作为差分脉冲编码调制的非线性预测器，已证明这种预测器较线性预测器可改进预测效果。另一活跃的研究领域是用Ｈｅｂｂｉａｎ学习规则获取主分量，主分量是理想的线性ＫＬ变换的基向量。这些学习算法的计算更优越于传统特征分解技术并适应于输入信号的变化．还有另一种模型为ＳＯＦＭ（ｔｈｅＳｅｌｆ－ＯｒｇａｎｉｚｉｎｇＦｅａｆｕｒｅＭａｐ）已在向量量化码本设计中有许多成功的应用。结果码本与标准ＬＢＧ算法相比对初始条件的依赖程度较低，且码字的拓扑序可用来进一步提高编码的效率并减低计算的复杂性。

关键词：神经网络图像压缩自组织特征映射图象处理

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Use of fuzzy set in textured image segmentation

Use of fuzzy set in textured image segmentation

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4th International Symposium on Signal processing and Its Applications (ISSPA 96)

作者： You, J Cohen, HA Griffith Univ Brisbane Australia

ISBN: (纸本)1864352094

This paper presents an approach to texture segmentation by thresholding based on compactness measures of fuzzy sets to determine thresholds of an ill-defined image. The extension of fuzziness in the texture feature space provides more meaningful results than by considering fuzziness in gray scale domain. The effectiveness of the algorithm is demonstrated by comparison with other traditional non-fuzzy methods or the controversial fuzzy method in gray scale alone. In addition, the efficiency of our algorithm is further improved by parallel implementation using distributed shared memory workstations.

关键词： texture segmentation thresholding fuzzy sets fuzziness fuzzy compactness parallel implementation

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