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

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image pre-processing by neuron-like algorithms

Image pre-processing by neuron-like algorithms

引用

International Symposium on Optical Information Science and Technology (OIST 97) - Optical Recording Mechanisms and Media

作者： Kuznetsov, SO Nuidel, iv Panfilov, AI Yakhno, VG Russian Acad Sci Inst Appl Phys Nizhnii Novgorod 603600 Russia

ISBN: (纸本)0819428523

The problem of image pre-processing by neuron-like algorithms concerns development of systems and methods of image processing in parallel regime. The processing algorithms of grey-tone images to sets of simplified binary images by software of neuron-like filtration (based on the models of homogeneous neural networks) are considered in the paper and partially realised. The time of image processing is calculated. Carrying out of the required set of operations with image is possible according to the convolution function view. The neural network parameters (the type of coupling function and type of element response to the external influence) are selected in accordance with the solution which we want to receive. The programme uses function similar to the Mask Convolution function. This function as any other functions basic for image processing are realised in the Intel Corporation "Recognition Primitives Library (RPL) for the Pentium Processor" with great efficiency. Library works under Windows NT. Performed calculations confirm that neuron-like model may be applied for real time image processing using RPL.

关键词： image processing Algorithm development Convolution Neural networks Chemical elements Detection and tracking algorithms Binary data Evolutionary algorithms Real time image processing Systems modeling

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Detecting cracks by image analysis on a parallel computer

Detecting cracks by image analysis on a parallel computer

引用

International Computing Congress Held in Conjunction with ASCE Annual Convention and Exposition on Information Technologies in Civil Engineering - Leading the World

作者： Tillotson, HT Snaith, MS Huang, Y Univ Birmingham Sch Civil Engn Birmingham B15 2TT W Midlands England

ISBN: (纸本)0784403813

A survey vehicle using automated methods to measure road surface defects such as roughness rutting and cracking needs to travel at about normal road speed for safety reasons. Crack detection by image analysis leads to a requirement to process or store a very large number of images per kilometre if cracks down to 1-2mm are to be detected. The ideal would be to provide an effective method of processing the images as fast as they are collected. Such a real-time system is currently beyond conventional single-processor computers. The paper describes research using a massively-parallel computer system called a distributed Array of Processors (DAP) in which 1024 processors work simultaneously on the digitised image. it has proved possible to determine whether or not there are cracks in an image within real time with about 80% success. This may be adequate given that observers disagree more than they are unanimous in the classification of the same images.

关键词： Highway engineering

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Optimal feature extraction for normally distributed data

Optimal feature extraction for normally distributed data

引用

Conference on Algorithms for Multispectral and Hyperspectral imagery iv

作者： Lee, CH Choi, ES Kim, JH Yonsei Univ Dept Elect Engn Seoul 120749 South Korea

ISBN: (纸本)0819428213

In this paper, we propose an optimal feature extraction method for normally distributed data. The feature extraction algorithm is optimal in the sense that we search the whole feature space to find a set of features which give the smallest classification error for the Gaussian ML classifier. Initially, we start with an arbitrary feature vector. Assuming that the feature vector is used for classification, we compute the classification error. Then we move the feature vector slightly in the direction so that the classification error decreases most rapidly. This can be done by taking gradient. We propose two search methods, sequential search and global search. In the sequential search, if more features are needed, we try to find an additional feature which gives the best classification accuracy with the already chosen features. In the global search, we are not restricted to use the already chosen features. Experiment results show that the proposed method outperforms the conventional feature extraction algorithms.

关键词： feature extraction Gaussian ML classifier multiclass remote sensing multidimensional image processing

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Improved functional imaging through network based parallel processing 2nd

引用

2nd International Workshop on Communication, Architecture, and Applications for Network-Based parallel Computing (CANPC 98)

作者： Munz, F Stephan, T Maier, U Ludwig, T Bode, A Ziegler, S Nekolla, S Bartenstein, P Schwaiger, M Tech Univ Munich Klinikum Rechts Isar Nukl Med Klin & Poliklin D-8000 Munich Germany Tech Univ Munich Lehrstuhl Rechnertech & Rechnerorg D-8000 Munich Germany

ISBN: (纸本)3540641408

This paper deals with currently used algorithms for the reconstruction of functional images which run up to 60 hours or more on a single workstation and deal with hundreds of megabyte of data. A parallel implementation with high efficiency and almost linear speedup of a sophisticated iterative algorithm is given and its applicability to other reconstruction methods is shown. Whereas running this application on a high performance parallel computer is straightforward, there are more issues under production conditions as they are enforced by daily routine in a clinic. We adress the topic of fault tolerant parallelizing and batch queuing of programs which are typically written in a high level language like IDL or MATLAB and show how load balancing can preserve the ownership of workstations in a network of workstations (NOW) which is used for distributed computing during office hours.

关键词： functional imaging parallel image reconstruction load balancing batch queing network of workstations

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Method execution on a distributed image processing back-end

Method execution on a distributed image processing back-end

引用

Euromicro Workshop on parallel and distributed processing

作者： F. Niederl A. Goller Computer Graphics and Vision Graz University of Technology Graz Austria

The rapid grow of both, the size of remote sensing data and the number of users in this field requires systems which are easy to use, platform independent and mighty. Currently, many users are not able to process or even access data the way they would like to. Utilizing upcoming technologies like WWW, Java and CORBA, we propose a distributed system that connects users, data bases and method bases. Latter ones help users to find an appropriate sequence of methods for processing, and incorporating a broker they schedule execution onto fast remote processing units (backends). We discuss design considerations concerning the interaction of the back-end with other system components, and strategies for effective job distribution.

关键词： image processing Java Computer graphics Remote sensing Job design Web sites World Wide Web Internet distributed processing distributed computing

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NOW based parallel reconstruction of functional images

NOW based parallel reconstruction of functional images

引用

International Symposium on parallel processing

作者： F. Munz T. Stephan U. Maier T. Ludwig A. Bode S. Ziegler S. Nekolla P. Bartenstein M. Schwaiger Nuklearmedizinische Klinik und Poliklinik des Klinikums rechts der Isar Technische Universität München Munchen Germany Lehrstuhl für Rechnertechnik und Rechnerorganisation Technische Universität München Munchen Germany

This paper deals with the parallel implementation of reconstruction algorithms for functional imaging on a network of workstations (NOW). Algorithms which provide the best image quality are not used in clinical routine, because they have a runtime of up to 60 hours with real clinical data sets of several hundred megabytes. After giving an overview of currently used image reconstruction algorithms, we describe a general parallel implementation of these algorithms with almost linear speedup and high efficiency which cuts down the runtime to a feasible limit. The high load which is caused by the parallel application conflicts with the predominantly interactive usage of clinical workstations, therefore we address load balancing with an application oriented, adaptive mechanism in order to preserve the ownership of workstations. Furthermore we explain how the integration of MATLAB and IDL based applications with a conventional distributed queuing system (DQS) can be achieved and why this significantly improves usage in clinical routine.

关键词： image reconstruction Positron emission tomography Workstations Runtime Detectors Scattering Iterative methods image quality Load management MATLAB

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Software platform for parallel image processing and computer vision

Software platform for parallel image processing and computer...

引用

Conference on parallel and distributed methods for image processing

作者： Taniguchi, R Makiyama, Y Tsuruta, N Yonemoto, S Arita, D Kyushu Univ. (Japan)

ISBN: (纸本)0819425885

We describe a general purpose environment for the development of parallel image processing/computer vision algorithms: PRIME (parallel image Media processing Environment). ''General purpose'' here means that the environment is designed so as to be used on a variety of multi-processor systems ranging from tightly-coupled computers to loosely-coupled computers. The key point of the system is that it provides an architecture-independent programming environment for image processing and computer vision. We show the outline of PRIME, its implementation, and its preliminary performance evaluation.

关键词： parallel programming image processing computer vision architecture-independence MPI

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parallel image processing using a Pentium based shared-memory multiprocessor-system

Parallel image processing using a Pentium based shared-memor...

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Conference on parallel and distributed methods for image processing

作者： Rothlubbers, C Orglmeister, R Technical Univ. of Berlin (Germany)

ISBN: (纸本)0819425885

This paper describes two different parallel computing approaches for image processing problems on a Pentium based multiprocessor-system. These multiprocessor computers are often used as network servers. We demonstrate the utilization of one of these machines, equipped with four Intel Pentium processors, far a parallel image processing task. A parallel computation of motion vector-fields based on correlation techniques is discussed to show the possible acceleration. The computational results show that a high efficiency can be reached, even a linear speedup is possible under certain conditions. Besides the mentioned correlation technique there are various image processing problems that can easily be evaluated in parallel. Although massively parallel systems and special purpose systems are much faster, off-line image processing can be accelerated by using these broadly available low-cost machines.

关键词： parallel computing multiprocessor-system image processing correlation technique motion vector-field

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Efficient SIMD evaluation of image processing programs

Efficient SIMD evaluation of image processing programs

引用

Conference on parallel and distributed methods for image processing

作者： Wilson, JN Riedy, EJ Univ. of Florida (United States)

ISBN: (纸本)0819425885

SIMD parallel systems have been employed for image processing and computer vision applications since their inception. This paper describes a system in which parallel programs are implemented using a machine-independent, retargetable object library that provides SIMD execution on the Lockheed Mar-tin PAL-I SIMD parallel processor. Programs' performance on this machine is improved through on-the-fly execution analysis and scheduling. We describe the relevant elements of the system structure, the general scheme for execution analysis, and the current cost model for scheduling.

关键词： SIMD image algebra

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Chromosome image segmentation on PAL parallel image processor

Chromosome image segmentation on PAL parallel image processo...

引用

Conference on parallel and distributed methods for image processing

作者： Shi, HC Gader, P Li, HZ Univ. of Missouri/Columbia (United States)

ISBN: (纸本)0819425885

Chromosome image segmentation is an important step toward automatic karyotyping that involves visualization and interpretation of chromosomes. In this paper, we analyze the characteristics of chromosome images that can be effectively used for segmenting chromosomes and can be efficiently extracted on the Lockheed-Martin PAL parallel image processor. We design and implement a parallel algorithm that uses local features to split touching chromosomes.

关键词： parallel algorithm mesh-connected computer chromosome image segmentation

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