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Real-time parallel video image processing on PC-cluster

Real-time parallel video image processing on PC-cluster

引用

SPIE conference on parallel and distributed methods for image processing II

作者： Arita, D Tsuruta, N Taniguchi, R Kyushu Univ Dept Intelligent Syst Fukuoka 812 Japan

ISBN: (纸本)0819429074

This paper describes a PC-cluster system for real-time parallel video image processing. The PC-cluster consists of seven PCs connected by a very high speed network. The key issue of this system is synchronization of distributed video data. Frame synchronization block is introduced to realize three kinds of synchronization: forward synchronization, barrier synchronization and backward synchronization. Forward synchronization is to notify of timing to start processing. Barrier synchronization is to wait for all data that are processed at the same time. Backward synchronization is to cancel processing and transferring useless data. Experimental results are also shown to confirm the performance of the PC-cluster.

关键词： real-time video image processing parallel processing synchronization PC-cluster high speed network

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A thread concept for automatic task parallelization in image analysis

A thread concept for automatic task parallelization in image...

引用

SPIE conference on parallel and distributed methods for image processing II

作者： Luckenhaus, M Eckstein, W Munchen Univ Technol Inst Comp Sci Forschungsgrp Bildverstehen D-81667 Munich Germany

ISBN: (纸本)0819429074

parallel processing of image analysis tasks is an essential method to speed up image processing and helps to exploit the full capacity of distributed systems. However, writing parallel code is a difficult and time-consuming process and often leads to an architecture-dependent program that has to be re-implemented when changing the hardware. Therefore it is highly desirable to do the parallelization automatically. For this we have developed a special kind of thread concept for image analysis tasks. Threads derivated from one subtask may share objects and run in the same context but may process different threads of execution and work on different data in parallel. In this paper we describe the basics of our thread concept and show how it can be used as basis of an automatic task parallelization to speed up image processing. We further illustrate the design and implementation of an agent-based system that uses image analysis threads for generating and processing parallel programs by taking into account the available hardware. The tests made with our system prototype show that the thread concept combined with the agent paradigm is suitable to speed up image processing by an automatic parallelization of image analysis tasks.

关键词： automatic parallelization parallel image processing multi-agent system thread concept mapping scheduling modelling

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Implementation of the morphological shared-weight neural network (MSNN) for target recognition on the parallel Algebraic Logic (PAL) computer

Implementation of the morphological shared-weight neural net...

引用

SPIE conference on parallel and distributed methods for image processing II

作者： Li, HZ Shi, HC Gader, P Keller, J Univ Missouri Dept Comp Engn & Comp Sci Columbia MO 65211 USA

ISBN: (纸本)0819429074

The morphological shared-weight neural network (MSNN) is an effective approach to automatic target recognition. Implementation of the network in parallel is critical for real-time target recognition systems. Although there is significant parallelism inherent in the MSNN, it is a challenge to implement it on an SIMD parallel computer consisting of a large array of simple processing elements. This paper discusses issues related to detection accuracy and throughput in implementing the MSNN on the parallel Algebraic Logic (PAL) computer.

关键词： target recognition neural network morphology SIMD processor array

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Perspective volume rendering on parallel Algebraic Logic (PAL) computer

Perspective volume rendering on Parallel Algebraic Logic (PA...

引用

SPIE conference on parallel and distributed methods for image processing II

作者： Li, HZ Shi, HC Univ Missouri Dept Comp Engn & Comp Sci Columbia MO 65211 USA

ISBN: (纸本)0819429074

We propose a perspective volume graphics rendering algorithm on SIMD mesh-connected computers and implement the algorithm on the parallel Algebraic Logic (PAL) computer. The algorithm is a parallel ray casting algorithm. It decomposes the 3D perspective projection into two transformations that can be implemented in the SIMD fashion to solve the data redistribution problem caused by non-regular data access patterns in the perspective projection.

关键词： perspective volume rendering parallel algorithm mesh processor array

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parallel robust relaxation algorithm for automatic stereo analysis

Parallel robust relaxation algorithm for automatic stereo an...

引用

SPIE conference on parallel and distributed methods for image processing II

作者： Palaniappan, K Vass, J Zhuang, XH Univ Missouri Dept Comp Engn & Comp Sci Multimedia Commun & Visualizat Lab Columbia MO 65211 USA

ISBN: (纸本)0819429074

A parallel robust relaxation algorithm is proposed to improve the detection and correction of illegal disparities encountered in the automatic stereo analysis (ASA) algorithm. Outliers and noisy matches from correlation-based BSA matching are improved by relaxation labeling and robust statistical methods at each stage of the multiresolution coarse-to-fine analysis. A parallel version of the relaxation labeling algorithm has been implemented for the MasPar supercomputer. The performance scales quite linearly with the number of processing elements and scales better than linear with increasing work load. The algorithm is highly scalable both as the number of processors are increased for solving a fixed size problem and also as the size of the problem increases.

关键词： parallel stereo correlation matching multiresolution algorithms parallel relaxation labeling robust estimation

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An overview of AIM: Supporting computer vision on heterogeneous high performance computing systems

An overview of AIM: Supporting computer vision on heterogene...

引用

SPIE conference on parallel and distributed methods for image processing II

作者： Sweat, M Wilson, JN Univ Florida Gainesville FL 32611 USA

ISBN: (纸本)0819429074

The AIM (Adaptive image Manager) is a client/server based system providing a computer vision and image processing specific protocol that interfaces to potentially numerous varying computing platforms providing image processing and computer vision support. It provides a unified programming interface for the user despite the potential heterogeneity of the underlying hardware supporting the image processing. Computational platforms currently being studied include the Lockheed Martin PAL system, floating point gate arrays (FPGAs), and symmetric multiprocessors (SMPs). The Open distributed processing Reference Model (ODP-RM) is an ISO standards effort (ISO/IEC 10746-1/2/3/4) to address the specification and implementation of distributed processing systems, providing an architecture for integrating distribution support, interworking, and portability. The ODP Reference Model is exploited in the design to support transparent distribution of image processing and computer vision processes to available computational devices. The AIM System's ODP Model is specified using Object-Z, a formal descriptive notation that is commonly employed for ODP specification. Use of Object-Z notation supports formal analysis of the system's properties, helping us verify that its design satisfies its goals. This paper presents an example image processing algorithm (Simple image Statistic Thresholding) as a framework for understanding both the method of distribution and the benefits obtained from the use of our model description.

关键词： ODP image processing Object-Z formal descriptive techniques image algebra fault tolerance open distributed processing

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High-performance thresholding with adaptive equalisation

High-performance thresholding with adaptive equalisation

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SPIE conference on parallel and distributed methods for image processing II

作者： Lam, KP Univ Keele Dept Comp Sci Keele ST5 5BG Staffs England

ISBN: (纸本)0819429074

The ability to simplify an image whilst retaining such crucial information as shapes and geometric structures is of great important for real-time image analysis applications. Here the technique of binary thresholding which reduces the image complexity has generally been regarded as one of the most valuable methods, primarily owing to its ease of design and analysis. This paper studies the state of developments in the field, and describes a radically different approach of adaptive thresholding. The latter employs the analytical technique of histogram normalisation for facilitating an optimal 'contrast level' of the image under consideration. A suitable criterion is also developed to determine the applicability of the adaptive processing procedure. In terms of performance and computational complexity, the proposed algorithm compares favourably to five established image thresholding methods selected for this study. Experimental results have shown that the new algorithm outperforms these methods in terms of a number of important errors measures, including a consistently low visual classification error performance. The simplicity of design of the algorithm also lends itself to efficient parallel implementations.

关键词： segmentation dynamic thresholding histogram equalisation image parallelism

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Proceedings of SPIE: parallel and distributed methods for image processing II

Proceedings of SPIE: Parallel and distributed methods for im...

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parallel and distributed methods for image processing II

The proceedings contain 15 papers from the conference on parallel and distributed methods for image processing II. The topics discussed include: parallel DSP with memory and I/O processors;analog VLSI implementation of a morphological associative memory;real-time parallel video image processing on a PC cluster;thread concept for automatic task parallelization in image analysis;new parallel vision environment in heterogeneous networked computing and toolkit for parallel image processing.

关键词： Computer vision

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oRis: Multiagents approach for image processing

oRis: Multiagents approach for image processing

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SPIE conference on parallel and distributed methods for image processing II

作者： Rodin, V Harrouet, F Ballet, P Tisseau, J Technopole Brest Iroise Ecole Natl Ingn Brest F-29608 Brest France

ISBN: (纸本)0819429074

In this article, we present a parallel image processing system based on the concept of reactive agents. This means that, in our system, each agent has a very simple behavior which allows it to take a decision (find out an edge, a region,...) according to its position in the image and to the information enclosed in it. Our system lies in the oRis language, which allows to describe very finely and simply the agents' behaviors. In fact, oRis is an interpreted and dynamic multiagent language. First of all, oRis is an object language with the use of classes regrouping attributes and methods. The syntax is close to the CSS language and includes notions of multiple inheritance, oRis is also an agent language: every object with a method 'main()' becomes an agent. This method is cyclically executed by the system scheduler and corresponds to the agent behavior. We also present an application made with oRis. This application allows to detect concentric striae located on different natural "objects" (age-rings of tree, fish otolith growth rings, striae of some minerals,...). The stopping of the multiagent system is implemented through a technique issued from immunology: the apoptosis.

关键词： multiagent language multiagent system parallel image processing reactive agents striae detection

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parallel methods for similar image compression and classification with common models

Parallel methods for similar image compression and classific...

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SPIE conference on parallel and distributed methods for image processing II

作者： Pianykh, OS Tyler, JM Sharman, R Louisiana State Univ Dept Comp Sci Baton Rouge LA 70803 USA

ISBN: (纸本)0819429074

This paper addresses efficient parallel compression and classification for sets of similar images that are normally generated from satellite imagery, medical imaging (CT and MR scans) or aerial surveillance. From our experiments it was observed that image similarities for each class of images can be more efficiently expressed in the domain of image compressing transforms. In particular, the paper shows that only one predictive compressing model can be constructed for the entire class of similar images of the same nature, and then used for nearly optimal compression of any image of the class. The extraction of the optimal class-compressing model still remains a computationally intensive process, which can be considerably improved on parallel computers. The paper demonstrates how a similar database compressing model can be extracted in parallel, and how this can be used for parallel similar database compression and classification of new images into appropriate similarity classes. The results of the parallel similar image analysis are demonstrated with MR and CT brain images obtained from the M.D. Anderson Cancer Center.

关键词： lossless image compression predictive models computer tomography (CT) magnetic resonance (MR)

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