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Job-shop scheduling applied to computer vision

Job-shop scheduling applied to computer vision

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conference on parallel and distributed methods for image processing

作者： Sebastian, JM Torres, F Aracil, R Reinoso, O Jimenez, LM Garcia, D Univ. Politecnica de Madrid (Spain) Univ. de Alicante (Spain)

ISBN: (纸本)0819425885

This paper presents a method for minimizing the total elapsed time spent by n tasks running on m differents processors working in parallel. ?he developed algorithm not only minimizes the total elapsed time but also reduces the idle time and waiting time of in-process tasks. This condition is very important in some applications of computer vision in which the time to finish the total process is particularly critical -quality control in industrial inspection, real-time computer vision, guided robots, .... The scheduling algorithm is based on the use of two matrices, obtained from the precedence relationships between tasks, and the data obtained from the two matrixes. The developed scheduling algorithm has been tested in one application of quality control using computer vision. The results obtained have been satisfactory in the application of different image processing algorithms.

关键词： scheduling computer vision real-time parallel processing priority algorithm

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Contract-Linda: A paradigm for programming heterogeneous parallel systems

Contract-Linda: A paradigm for programming heterogeneous par...

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conference on parallel and distributed methods for image processing

作者： Pycock, D Jackson, RO Univ. of Birmingham (United Kingdom)

ISBN: (纸本)0819425885

Contract-Linda is a novel programming architecture for heterogeneous parallel machines particularly suited to image processing. Previous research has concentrated on static and pre-determined scheduling of computation and on fine grain parallelism. Pre-determined scheduling is satisfactory in cases where the computational process is fully deterministic. However with many image interpretation schemes the flow of control and the nature of the computational procedures can only be determined at run-time. In this paper we describe a programming paradigm for coarse grain and task level parallelism. Task management is based on the Contract Net protocol and utilises the Linda. Coordination Language to provide run-time scheduling. This paradigm accommodates a closely coupled network of heterogeneous processing modules which differ greatly in computational capability;modules based on neural networks, semantic networks, vector and scalar processors are accommodated. Contract;Linda allo-cvs specialised heterogeneous machines to be exploited using a straightforward generic programming model. It does this by providing an internal task management mechanism which ensures that the heterogeneous processing elements are used by the tasks most suited to them and exploits dynamic parallelism within the problem as it is solved. By separating the task of describing the problem from that of describing how the work is carried out on the machine (and providing a solution for this problem) we allow applications to be quickly developed which can effectively utilise specialised machines without the need for specialised programming. We report an experiment to re-implement a cell image interpretation system using Contract-Linda.

关键词： heterogeneous computing parallel computing distributed artificial intelligence image interpretation

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Multiagent boundary detection system: a way to parallel image processing

Multiagent boundary detection system: a way to parallel imag...

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conference on parallel and distributed methods for image processing

作者： Ballet, P Rodin, V Tisseau, J Ecole Nationale d'Ingenieurs de Brest (France)

ISBN: (纸本)0819425885

In this article, we would like to detect boundaries of objects with the help of a multiagent system made up of reactive agents. The reactivity being very important, the agents' behavior is very simple (perception-action) : they have the capacity, nevertheless, to adapt locally to what they consider their environment, that is to say the image. An agent can move and has its own position in its environment. The basic behavior for an agent consists of following the highest brightness gradient and inscribing its path, if estimating to be on an edge, in all the agents' shared memory. Its path thus corresponds to edges which are found in the image. Please note that, in order to be noise resistant, the path is actually stored in the shared memory only if it is long enough. The notion of shared memory is very important because it allows the interaction among agents and the coordination of their actions. The agents actually use already found edges for finding new ones or complete those already detected. We have tested this system on different grey scale images scenes, but as well on synthetic scenes allowing analysis of thus obtained results. The results are promising and especially fast. Our multiagent system has been tested on a single-processor computer, and it has been note that the number of agents in a simulation neither affects the quality of the result nor CPU time necessary for segmentation of a given scene. We think that this approach is original in its use of agents and may be used to implement parallel image processing by assigning, for instance, an agent to each processor.

关键词： Sensors Edge detection image processing image sensors Actuators Computer simulations Computing systems Environmental sensing image analysis image segmentation

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MultiPADDI-2 board for image processing

MultiPADDI-2 board for image processing

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conference on parallel and distributed methods for image processing

作者： Srini, VP Chow, N Sutton, RA Rabaey, JM Data Flux Systems Inc. MS 292 Berkeley CA 94709 1678 Shattuck Ave. United States University of California EECS Dept. Berkeley CA 94720 United States

ISBN: (纸本)0819425885

We have constructed a prototype image processing board containing 384 processors In 8 VLSI chips. The goal of the prototype is to show how fine grain parallelism present in image processing applications can be exploited by using lots of simple processors inter-connected in clever ways. Each processor has a 16-bit data path, a simple instruction set containing 12 instructions, a simple control unit, and a scan chain for loading data and program, Each VLSI chip, called PADDI-2, contains 48 processors, The programming model used for the processors is MIMD. Each processor has 8 words in the instruction memory. There are internal registers and queues in a processor for storing data and partial results. Data is assumed to be entering the system as a stream and processed by the processors. Each VLSI chip is connected to an external memory (64K x 16). a hardware synchronization mechanism is used for communication between processors;memory, and the external environment. If a sender and receiver is within the same chip, communication can be done in one cycle by the hierarchical interconnect bus structure, Programming the processors and the interconnections are done at compile time. The board is interfaced to a Sun SPARCstation using the SBus. Video input and output is supported by the board and field buffers are used for buffering. Software tools for checking the board, running test programs at the assembly language level, and Libraries for application development have been produced. image processing applications are currently under development. The board is available for experimentation over the Internet. Further details are available from the project web page (http://***/spartan).

关键词： parallel DSP image processing data driven processor data streaming

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2nd International conference on Vector and parallel processing - Systems and Applications, VECPAR 1996

2nd International Conference on Vector and Parallel Processi...

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2nd International conference on Vector and parallel processing - Systems and Applications, VECPAR 1996

ISBN: (纸本)3540628282

The proceedings contain 27 papers. The special focus in this conference is on Vector and parallel processing. The topics include: High performance computing in power system applications;scan-directional architectures;markov chain based management of large scale distributed computations of earthen dam leakages;control and data flow analysis for parallel program debugging;a vector processor for the efficient estimation of higher-order moments;the use of computational kernels in full and sparse linear solvers, efficient code design on high-performance RISC processors;parallel implementation of a symmetric eigensolver based on the Yau and Lu method;preconditioned conjugate gradient methods for semiconductor device simulation on a CRAY C90 vector processor;a parallel implementation of the general lanczos method on the cray T3D;parallel and distributed computations in a parameter inverse problem;automated optimal design using CFD and high performance computing;parallelization of the discrete-ordinates method;experiences with advanced CFD algorithms on NEC SX-4;parallelization of a CFD code using PVM and domain decomposition techniques;possibilities of parallel computing in the finite element analysis of industrial forming processes;preconditioners for nonsymmetric linear systems in domain decomposition applied to a coupled discretization of navler-stokes equations;parallel implementation of non-recurrent neural networks;parallel computing of fragment vector in steiner triple systems;stabilizing large control linear systems on multicomputers;an interface based on transputers to simulate the dynamic equation of robot manipulators using parallel computing and large scale traffic simulations.

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

引用

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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Constrained parallel projection methods for optimal signal estimation and design - Constrained inconsistent signal feasibility problems

Constrained parallel projection methods for optimal signal e...

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International conference on image processing (ICIP-96)

作者： Yamada, I Ogura, N Goto, A Sakaniwa, K TOKYO INST TECHNOL DEPT ELECT & ELECT ENGNMEGURO KUTOKYO 152JAPAN

ISBN: (纸本)0780332598

The convex set feasibility framework has been widely applied to signal and image processing problems including signal deconvolution, tomographic reconstruction, band limited extrapolation, image restoration and image synthesis. In this paper, we consider convex constrained versions of inconsistent signal feasibility problems, which are some extensions of Combettes's problems and of much more desired in many applications. First we derive some new properties of variational nonexpansive operators and convex projections. Based on these properties and fixed point theorems, we propose some types of algorithms called constrained parallel projection methods (CPPM) that solve the convex constrained versions of inconsistent signal feasibility problems.

关键词： Signal processing

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Spatial based polynomial 2D-warping - A possibility to reduce interindividual variations in functional neuroimaging?

Spatial based polynomial 2D-warping - A possibility to reduc...

引用

International conference on image processing (ICIP-96)

作者： Lohmann, K Staak, S Gundelfinger, ED Hess, A FED INST NEUROBIOL D-39119 MAGDEBURGGERMANY

ISBN: (纸本)0780332598

As an approach to reduce the variation in functional brain images between different individuals we tested different methods for an elastic image deformation by polynomial warping. The polynomials vary in degree and number and distribution of the grid-points. The computations show that image warping with second degree polynomials and equally distributed grid-points increases most efficiently the similarity of shape and gray-values in the images whereas the tested higher degree polynomials are not useful.

关键词： image processing

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parallel textured image segmentation using fuzzy set

Parallel textured image segmentation using fuzzy set

引用

3rd International conference on Signal processing (ICSP 96)

作者： You, J Sun, CZ Zhu, WP Griffith Univ Brisbane Australia

ISBN: (纸本)7505338900

This paper presents an approach to texture segmentation hy 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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2nd International Euro-Par conference on parallel processing, 1996

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2nd International Euro-Par conference on parallel processing, Euro-Par 1996

ISBN: (纸本)3540616276

The proceedings contain 118 papers. The special focus in this conference is on. Euro-Par is the annual European conference on parallel processing;parallel numerical algorithms;High Performance Computing, Application. The topics include: Optimization of the ScaLAPACK LU Factorization Routine Using Communication/Computation Overlap;On Experiments with a parallel Direct Solver for Diagonally Dominant Banded Linear Systems;The Computation of Partial Eigensolutions on a distributed Memory Machine Using a Modified Lanczos Method;The parallel Computation of Partial Eigensolutions of Large Matrices on a Massively parallel Processor;Preprocessing of Sparse Unassembled Linear Systems for Efficient Solution Using Element-by-element Preconditioners;Implementing The parallel Quasi-Laguerre's Algorithm for Symmetric Tridiagonal Eigenproblems;Comparing Task and Data parallel Excecution Schemes for the DIIRK Method;Numerical Turbulence Simulation on Different parallel Computers Using the Sparse Grid Combination Method;parallel Fourier-Motzkin Elimination;Comparison of Three Monte Carlo methods for Matrix Inversion;parallel Solution of the Volume Integral Equation of Electromagnetic Scattering;Optimization of parallel Multilevel-Newton Algorithms on Workstation Clusters;A Time and Space parallel Algorithm for the Heat Equation: The Implicit Collocation Method;parallel image/Video processing, Computer Arithmetic;A High Performance image Database System for Remotely Sensed imagery;An Asynchronous parallel Algorithm for Symbolic Grouping Operations in Vision;A parallel Pipelined Hough Transform;High-Performance SAR-image Formation and Post-processing;A parallel Implementation of image Coding Using Linear Prediction and Iterated Functions Systems and parallel Algorithms for Using Non-Stationary MRA in image Compression.

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