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检索条件"任意字段=Parallel and Distributed Methods for Image Processing II"

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FPGA-based parallel implementation for the lifting discrete wavelet transform

FPGA-based parallel implementation for the lifting discrete ...

引用

4th International Conference on parallel and distributed methods for image processing IV

作者： Aranki, N Jiang, WQ Ortega, A CALTECH Jet Prop Lab Pasadena CA 91101 USA

ISBN: (纸本)0819437638

The rapidly increasing popularity of the discrete wavelet transform (DWT) as an effective tool in many signal processing and data compression applications, and its integration into JPEG 2000 has given rise to various DWT algorithms and their VLSI implementations to reduce complexity and enhance performance, In this paper, we present an efficient hardware implementation of the discrete wavelet transform and its deployment on a reconfigurable FPGA based platform. Our implementation is a novel architecture based on the lifting factorization of the wavelet filter banks. This factorization leads to a block based parallel DWT architecture suitable for hard-ware implementation. To overcome the communication overhead associated with the DWT block transform, we utilize the new Overlap-State(1,2) technique to compute the DWT near block boundaries. A VHDL description of the lifting polyphase factorization architecture was developed and ported to an FPGA hardware platform that was chosen to allow partial and full reconfigurability to accommodate Various applications with different filter banks. Our hardware implementation improves the performance by better than twofold speed up when compared to an efficient pipelined FPGA based implementation.

关键词： discrete wavelet transform field programmable gate array(FPGA) parallel architecture overlap-state split and merge hardware implementation reconfigurable platform

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Intelligent agent support for automated radiology exam

Intelligent agent support for automated radiology exam

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4th International Conference on parallel and distributed methods for image processing IV

作者： Shang, Y Popescu, M Univ Missouri Dept Comp Sci & Comp Engn Columbia MO 65211 USA

ISBN: (纸本)0819437638

A difficult problem in automatic medical image understanding is that for every image type such as x-ray and every body organ such as heart, there exist specific solutions that do not allow for generalization. Just collecting all the specific solutions will not achieve the vision of a computerized physician. To address this problem, we propose an intelligent agent approach that is based on agent-oriented programming and the concept of active fusion. The advantage of agent-oriented programming is that it combines the benefits of object-oriented programming and expert system. For radiology image understanding, we present a multi-agent system that is composed of two major types of intelligent agents: radiologist agents and patient agents. A patient agent asks for multiple opinions from radiologist agents in interpreting a given set of images and then integrates the opinions. A radiologist agent decomposes the image recognition task into smaller problems that are solved collectively by multiple intelligent sub-agents. Finally, we present a preliminary implementation and running examples of the multi-agent system.

关键词： intelligent agent radiology image interpretation information fusion

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On the design and implementation of a parallel, object-oriented, image processing toolkit

On the design and implementation of a parallel, object-orien...

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parallel and distributed methods for image processing IV

作者： Kamath, Chandrika Baldwin, Chuck H. Fodor, Imola K. Tang, Nu A. Lawrence Livermore Natl Lab Livermore United States

Advances in technology have enabled us to collect data from observations, experiments, and simulations at an ever increasing pace. As these data sets approach the terabyte and petabyte range, scientists are increasingly using semi-automated techniques from data mining and pattern recognition to find useful information in the data. In order for data mining to be successful, the raw data must first be processed into a form suitable for the detection of patterns. When the data is in the form of images, this can involve a substantial amount of processing on very large data sets. To help make this task more efficient, we are designing and implementing an object-oriented image processing toolkit that specifically targets massively-parallel, distributed-memory architectures. We first show that it is possible to use object-oriented technology to effectively address the diverse needs of image applications. Next, we describe how we abstract out the similarities in image processing algorithms to enable re-use in our software. We will also discuss the difficulties encountered in parallelizing image algorithms on massively parallel machines as well as the bottlenecks to high performance. We will demonstrate our work using images from an astronomical data set, and illustrate how techniques such as filters and denoising through the thresholding of wavelet coefficients can be applied when a large image is distributed across several processors.

关键词： image processing

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Virtual video tape: A novel development tool for real-time motion image understanding

Virtual video tape: A novel development tool for real-time m...

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4th International Conference on parallel and distributed methods for image processing IV

作者： Mizoguchi, H Hidai, K Hiraoka, K Shigehara, T Mishima, T Saitama Univ DICS Urawa Saitama 3388570 Japan

ISBN: (纸本)0819437638

This paper proposes Virtual Video Tape (WT). It is a randomly accessible motion image recorder in main memory. VVT is realized with only software, not hardware. It is intended as a tool for real-time motion image understanding research. Recent remarkable progress of PC hardware enables to use gigabyte order main memory. By utilizing such large sized memory, there is a possibility to realize motion image recorder with software. Thus we propose VVT as an example of this kind image recorder. Utilizing current components, recording time fan be expected as minutes order. Since the proposed VVT is fully digital, there is no analog medium nor possibility for degradation of image quality. Since there is no deterioration of playback image and no rewinding. VVT must contribute to program development for motion image understanding. Based upon the proposed idea, the authors have implemented a prototype VVT and used the prototype to develop visual tracking, real-time face detection, and so forth. Through the implementation and experience of the usage, we have confirmed feasibility and effectiveness of the proposed idea. In this paper, the authors discuss background, required functions and structure of the recorder. Some implementation issues are also described.

关键词： solid state video recorder deterioration-free rewinding-free randomly accessible

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parallel approach to incorporating face image information into dialogue processing

Parallel approach to incorporating face image information in...

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parallel and distributed methods for image processing IV

作者： Ren, Fuji Hiroshima City Univ Hiroshima Japan

There are many kinds of so-called irregular expressions in natural dialogues. Even if the content of a conversation is the same in words, different meanings can be interpreted by a person's feeling or face expression. To have a good understanding of dialogues, it is required in a flexible dialogue processing system to infer the speaker's view properly. However, it is difficult to obtain the meaning of the speaker's sentences in various scenes using traditional methods. In this paper, a new approach for dialogue processing that incorporates information from the speaker's face is presented. We first divide conversation statements into several simple tasks. Second, we process each simple task using an independent processor. Third, we employ some speaker's face information to estimate the view of the speakers to solve ambiguities in dialogues. The approach presented in this paper can work efficiently, because independent processors run in parallel, writing partial results to a shared memory, incorporating partial results at appropriate points, and complementing each other. A parallel algorithm and a method for employing the face information in a dialogue machine translation will be discussed, and some results will be included in this paper.

关键词： image processing

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parallel DSP implementation of wavelet transform in image compression

Parallel DSP implementation of wavelet transform in image co...

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IEEE International Symposium on Circuits and Systems (ISCAS 2000)

作者： Haapala, K Kolinummi, P Hämäläinen, T Saarinen, J Tampere Univ Technol Digital & Comp Syst Lab FIN-33101 Tampere Finland

A parallel implementation of the 2D discrete wavelet transform on a distributed memory multiprocessor system called PARNEU is presented. The mapping has been chosen with consideration to load balancing and communication methods in order to achieve the best possible scalability and performance in transforming one single image. Detailed performance figures are included. Experimental results show that significant parallel speedup is reached with this mapping.

关键词： Digital signal processing

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Dynamic load balancing of parallel cellular automata

Dynamic load balancing of parallel cellular automata

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parallel and distributed methods for image processing IV

作者： Mazzariol, Marc Gennart, Benoit A. Hersch, Roger D. Ecole Polytechnique Federale de Lausanne Lausanne Switzerland

We are interested in running in parallel cellular automata. We present an algorithm which explores the dynamic remapping of cells in order to balance the load between the processing nodes. The parallel application runs on a cluster of PCs connected by Fast-Ethernet. A general cellular automaton can be described as a set of cells where each cell is a state machine. To compute the next cell state, each cell needs some information from neighbouring cells. There are no limitations on the kind of information exchanged nor on the computation itself. Only the automaton topology defining the neighbours of each cell remains unchanged during the automaton's life. As a typical example of a cellular automaton we consider the image skeletonization problem. Skeletonization requires spatial filtering to be repetitively applied to the image. Each step erodes a thin part of the original image. After the last step, only the image skeleton remains. Skeletonization algorithms require vast amounts of computing power, especially when applied to large images. Therefore, skeletonization application can potentially benefit from the use of parallel processing. Two different parallel algorithms are proposed, one with a static load distribution consisting in splitting the cells over several processing nodes and the other with a dynamic load balancing scheme capable of remapping cells during the program execution. Performance measurements shows that the cell migration doesn't reduce the speedup if the program is already load balanced. It greatly improves the performance if the parallel application is not well balanced.

关键词： image processing

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Design and implementation of an FPGA based processor for compressed images

Design and implementation of an FPGA based processor for com...

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parallel and distributed methods for image processing IV

作者： Balakrishnan, V.S. Pottinger, Hardy Ercal, Fikret Agarwal, Mukesh Univ of Missouri - Rolla Rolla United States

This paper deals with the implementation of a systolic array architecture in hardware using FPGAs for processing compressed binary images without decompressing them. Specifically, run-length encoding (RLE) is used for compression. processing images in compressed form provides a significant speedup in the computation. Using a systolic architecture and implementing it in hardware further increases the speed.

关键词： image compression

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Multi-agent systems and neural networks on a distributed architecture for target identification on air images

Multi-agent systems and neural networks on a distributed arc...

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parallel and distributed methods for image processing IV

作者： Cozien, R. Rosenberger, C. Eyherabide, P. Rossettini, J. Ceyrolle, A. French Dep of Defense Guer France

Our purpose is, in medium term, to detect in air images, characteristic shapes and objects such as airports, industrial plants, planes, tanks, trucks, ... with great accuracy and low rate of mistakes. However, we also want to value whether the link between neural networks and multi-agents systems is relevant and effective. If it appears to be really effective, we hope to use this kind of technology in other fields. That would be an easy and convenient way to depict and to use the agents' knowledge which is distributed and fragmented. After a first phase of preliminary tests to know if agents are able to give relevant information to a neural network, we verify that only a few agents running on an image are enough to inform the network and let it generalize the agents' distributed and fragmented knowledge. In a second phase, we developed a distributed architecture allowing several multi-agents systems running at the same time on different computers with different images. All those agents send information to a `multi neural networks system' whose job is to identify the shapes detected by the agents. The name we gave to our project is Jarod.

关键词： image processing

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parallel image processing for line detection in shared-memory and distributed environments

Parallel image processing for line detection in shared-memor...

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Conference on Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision

作者： Kyrki, V Ikonen, J Porras, J Kälviäinen, H Lappeenranta Univ Technol Lab Informat Proc FIN-53851 Lappeenranta Finland

ISBN: (纸本)0819438626

parallel systems provide a robust approach for high performance computing. Lately the use of parallel computing has become more available as new;parallel environments have evolved. Low cost and high performance of off-the-shelf PC processors have made PC-based multiprocessor systems popular. These systems typically contain two or four processors. Standardized POSIX-threads have formed an environment for the effective utilization of several processors, Moreover, distributed computing using networks of workstations has increased. The motivation for this work is to apply these techniques in computer vision. The Hough Transform (HT) is a well-known method for detecting global features in digital images. However, in practice, the sequential HT is a slow method with large images. We study the behavior of line detecting HT with both message passing workstation networks and shared-memory, multiprocessor systems. parallel approaches suggested in this paper seem to decrease the computation time of HT significantly. Thus, the methods are useful for real-world applications.

关键词： Hough transform parallel environments multiprocessor systems workstation networks

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