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

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Study on Statistics Iterative Thresholding Segmentation Based on Aviation image

Study on Statistics Iterative Thresholding Segmentation Base...

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ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed Computing (SNPD)

作者： Guang Yang Kexiong Chen Maiyu Zhou Zhonglin Xu Yongtian Chen The Special Profession Department Aviation University슠of Air슠Force Changchun China

image segment is one of the most fundamental and difficult problems in image analysis and computer vision. The image thresholding problem is treated as an important issue in image processing, and it can not only reduce the image data, but also lay a good foundation for succedent target recognition and image understanding. Character of global thresholding segmentation and local thresholding was analyzed in image segmentation. A new thresholding statistic iterative arithmetic is presented to overcome the direct worth method in thresholding, aiming at some lighting asymmetry and the abrupt a blemish for, or bigger arithmetic figure in ratio in a variety in gray of background image. Statistics iterative thresholding segmentation, based on image gray histogram and Gauss statistics distributing, obtain the theory expression of statistics iterative method and the best worth thresholding method and steps. Aviation image was thresholding segmentation using statistic iterative arithmetic, histogram technique and adaptive method respectively. Compared three thresholding results, it shows that statistic iterative method greatly improved the anti-noise capability of image segmentation and had the good result to the image of the worth and not easy to segment in full value thresholding method.

关键词： Statistics image segmentation Statistical distributions Iterative methods Arithmetic image analysis Histograms Computer vision image processing Target recognition

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image Reconstruction using Microwave Tomography for Breast Cancer Detection on distributed Memory Machine

Image Reconstruction using Microwave Tomography for Breast C...

引用

International Conference on parallel processing (ICPP)

作者： Meilian Xu Abas Sabouni Parimala Thulasiraman Sima Noghanian Stephen Pistorius Department of Computer Science University of Manitoba Winnipeg MAN Canada Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada Cancer Care Manitoba Winnipeg MAN Canada

Breast cancer, with the exception of lung cancer, is the leading cause of cancer deaths in women. It is also one of the few cancers that can be controlled by using asymptomatic screening method, followed by effective treatments. One recent screening modality under development, microwave tomography, uses the apparent dielectric property contrasts between different breast tissues at microwave frequencies. Microwave tomography uses a numerical model and the image reconstruction consists of iteratively searching the breast structures, applying the numerical model to the breast structures, and matching measured data with computation results of the model. This paper focuses on finite-difference time-domain (FDTD) for the numerical model and genetic algorithm (GA) for the iterative searches. FDTD and GA are time-consuming, yet they are data parallel in nature. In this paper, a parallel algorithm integrating GA and FDTD for detecting tumors using microwave tomography technique is presented. The algorithm is implemented on distributed memory machines using MPI.

关键词： image reconstruction Tomography Breast cancer Cancer detection Finite difference methods Time domain analysis Numerical models Lungs Dielectrics Breast tissue

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Region-based image Fusion by Using Region Priorities

Region-based Image Fusion by Using Region Priorities

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ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed Computing (SNPD)

作者： Zhang Yingjie Ge Liling School of Mechanical Engineering Xi''an Jiaotong University Xi'an Shaanxi China School of Mechanical Engineering Xi''an University of Technology Xi'an Shaanxi China

In this paper, a new region-based approach to multi-resolution image fusion is presented. To make fusion decision better, a master image is selected from the source images. Then, it is segmented using the background subtraction based Mumford and Shah algorithm, which significantly improves the segmentation at quality and convergence speed. After that, the fusion rules on every region of the image are determined based on the best priority-first strategy. Moreover, the fusion on the whole image domain is replaced by using different rules on every segmented region of the image. The corresponding regions in other images are located by linear mapping methods. Some numerical results have been given and compared to the pixel-based fusion methods. Despite an increase in complexity, more intelligent fusion rules may be applied to remove side effects like reducing contrast and sensitive to error of registration.

关键词： image fusion image segmentation Discrete wavelet transforms image sensors Sensor fusion Space technology Nonlinear distortion Principal component analysis Signal processing Infrared image sensors

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Survey of parallel MATLAB Techniques and Applications to Signal and image processing

Survey of Parallel MATLAB Techniques and Applications to Sig...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Ashok Krishnamurthy John Nehrbass Juan Carlos Chaves Siddharth Samsi Ohio Supercomputer Center Columbus OH USA

We present a survey of modern parallel MATLAB techniques. We concentrate on the most promising and well supported techniques with an emphasis in SIP applications. Some of these methods require writing explicit code to perform inter-processor communication while others hide the complexities of communication and computation by using higher level programming interfaces. We cover each approach with special emphasis given to performance and productivity issues.

关键词： MATLAB Signal processing image processing Computer languages Productivity Licenses High performance computing distributed computing Signal processing algorithms Concurrent computing

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Symposium Evening Tutorial: High-performance Computing methods for Computational Genomics

Symposium Evening Tutorial: High-performance Computing Metho...

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International Symposium on parallel and distributed processing (IPDPS)

作者： Srinivas Aluru David A. Bader Ananth Kalyanaraman

As biomolecular sequence data continue to be amassed at unprecedented rates, the design of effective computational methods and capabilities that can derive biologically significant information from them has become both increasingly challenging and imperative. In this tutorial, the audience will be first introduced to the different types of biomolecular sequence data and the wealth of information they encode. Following this technical grounding, high-performance computing approaches developed to address some of the most computationally challenging problems in genomics will be described. The contents will be presented in three parts: (i) In the first part, we will describe methods that were designed to query a sequence against a large sequence database. Two popular parallel approaches, mpiBLAST and ScalaBLAST, implementing the NCBI BLAST suite of programs will be described. (ii) Next, we will describe PaCE, which is a parallel DNA sequence clustering algorithm. As direct applications, we will discuss the clustering of large-scale Expressed Sequence Tag data and the assembly of complex genomes. (iii) Finally, we describe GRAPPA, which is a high-performance software suite developed for phylogenetic reconstruction of a collection of genomes or genes. Throughout the tutorial, emphasis will be on both scalability and effectiveness in exploiting large-scale state-of-the-art supercomputing technologies. The intended audience are academic and industry researchers, educators, and/or commercial application developers, with a computational background. No background in biology is assumed.

关键词： Tutorial Genomics Bioinformatics Biology computing Sequences Application software Large-scale systems Biological information theory Grounding Design methodology

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A Genetic Approach for Distributing Semantic Databases of Crowd Simulations

A Genetic Approach for Distributing Semantic Databases of Cr...

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International Symposium on parallel and distributed processing (IPDPS)

作者： M. Lozano J. M. Orduna V. Cavero Departamento de Informática Universidad de Valencia Valencia Spain

Last years have witnessed how crowd simulations have become an essential tool for many virtual environment applications. These applications require both rendering visually plausible images and managing the behavior of autonomous agents, and therefore they need a scalable design that allows them to simultaneously tackle these two requirements. One of the main problems in the design of a scalable crowd simulation consists of efficiently distributing among different computers the semantic database containing the virtual world. In this paper, we propose a genetic approach for distributing the semantic database of crowd simulations in such a way that the dependencies among the computers hosting the pieces of the database are minimized. The proposed approach avoids the saturation of these computers by ensuring that the size of the pieces assigned to each computer is properly balanced. The performance evaluation results show that the proposed approach significantly reduces the resulting overhead in regard to other local search methods, regardless of the movement pattern of the agents. Therefore, it allows an effective partition of the semantic database.

关键词： Genetics image databases Visual databases Computational modeling Computer simulation distributed computing Virtual environment Application software Rendering (computer graphics) Autonomous agents

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Robust Placement of Mobile Relational Operators for Large Scale distributed Query Optimization

Robust Placement of Mobile Relational Operators for Large Sc...

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IEEE International Conference on parallel and distributed Computing, Applications and Technologies (PDCAT)

作者： Belgin Ergenc Franck Morvan Abdelkader Hameurlain Izmir Institute of Technology Urla Izmir Turkey IRIT Laboratory Université Paul Sabatier Toulouse France

This paper presents a compile-time placement method of mobile relational operators MROs in a large scale environment. MROs are self adaptive to changing runtime conditions by deciding their execution place if they discover compile-time estimation errors. Proposed placement methods tend to have a main drawback with MROs running over a large scale environment: their focus is on finding optimal performance depending on single-point estimation at compile-time, instead of optimal performance over an estimation interval. We propose: (i) to determine the migration space of a MRO including the sites on which the MRO is allowed to migrate during its execution, and (ii) to find the robust site which will allow acceptable response time in an estimation interval. Performance study shows that, with a risk of loosing around 6% in response time, it is possible to gain up to 300% with the proposed robust placement.

关键词： Robustness Large-scale systems Query processing Runtime Estimation error Optimization methods Delay Costs Mobile computing Monitoring

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A parallel CBIR Implementation using Perceptual Grouping of Block-Based Visual Patterns

A Parallel CBIR Implementation using Perceptual Grouping of ...

引用

IEEE International Conference on image processing

作者： Shyi-Chyi Cheng Wei-Kan Huang Yu-Jhih Liao Da-Chun Wu Department of Computer Science and Engineering National Taiwan Ocean University Taiwan Department of Computer and Communication Engineering National Kaohsiung First University of Science and Technology Taiwan

This paper proposes a parallel solution to retrieve images from distributed data sources using perceptual grouping of block-based visual patterns. The method of grouping visual patterns into image model based on generalized Hough transform is one of the most powerful techniques for image analysis. However, real-time applications of this method have been prohibited due to the computational intensity in similarity searching from a large centralized image collection. A query object is decomposed into non-overlapped blocks, where each of them is represented as a visual pattern obtained by detecting the line edge from the block using the moment-preserving edge detector. A voting scheme based on generalized Hough transform is proposed to provide object search method, which is invariant to the translation, rotation, scaling of image data. In this work, we describe a heterogeneous cluster-oriented CBIR implementation. First, the workload to perform an object search is analyzed, and then, a new load balancing algorithm for the CBIR system is presented. Simulation results show that the proposed method gives good performance and spans a new way to design a cost-effective CBIR system.

关键词： image edge detection Object detection Information retrieval image retrieval Detectors Voting Search methods Performance analysis Algorithm design and analysis Load management

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parallel Implementation of 2D-DWT by Purging Read after Write Dependency for High Speed Applications

Parallel Implementation of 2D-DWT by Purging Read after Writ...

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International Conference on Emerging Technologies, ICET

作者： M. Ashraf M. Shamim Baig Liaqat Ali Khan Ali Hassan Center for Cyber Technology and Spectrum Management National University of Science and Technology Islamabad Pakistan Center for Cyber Technology and Spectrum Management National University of Science and Technology Islamabad

ISBN: (纸本)1424414935

This paper proposes an efficient implementation of multistage, multiple-level DSP algorithms suitable for parallel and distributed processing. To describe our method we selected Mallat's algorithm for two dimensional wavelet transforms (2D-DWT) coefficient computation which has multistage and multilevel processing requirements. We have selected field programmable gate arrays (FPGA) as a processing unit because of its inherited parallel processing capabilities but our method is not limited to FPGAs only. Our method directly computes 2D-DWT coefficients without computing and storing intermediate results; which makes it faster; resource saving and removes read after Write (RAW) dependencies. We discuss multistage and single level implementation but ideally it can be extended to n-level implementation. We also proposed method for generation of "mutually scaled filter coefficients (MSFC)" and computation of maximum number of parallel processors for optimized performance in this particular case. Both lookup tables (LUTs) and multipliers along with addition/subtraction architecture can be used. However, LUTs have advantage of high processing speed. Two computational stages are combined into a single stage to remove read after write (RAW) dependency. Our implementation takes N 2 /4+L 2 /4-2 time units to compute 2D- DWT of N x N input data, with filter length of L without intermediate storage. This method can be used for other multistage, multilevel DSP problems. Quartusreg ii IDE and Altera Stratix device is used for implementation.

关键词： Field programmable gate arrays Table lookup Digital signal processing Filters distributed processing Wavelet transforms parallel processing Concurrent computing Optimization methods Computer architecture

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OpenVL: Towards A Novel Software Architecture for Computer Vision

OpenVL: Towards A Novel Software Architecture for Computer V...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Changsong Shen Sidney S. Fels James J. Little Department of Electrical and Computer Engineering University of British Columbia Canada Department of Computer Science University of British Columbia Canada

This paper presents our progress on OpenVL -a novel software architecture to address efficiency through facilitating hardware acceleration, reusability and scalability for computer vision. A logical image understanding pipeline is introduced to allow parallel processing. As well, we discuss our middleware -VLUT that enables applications to operate transparently over a heterogeneous collection of hardware implementations. OpenVL works as a state machine, with an event-driven mechanism to provide users with application-level interaction. Various explicit or implicit synchronization and communication methods are supported among distributed processes in the logical pipelines. The intent of OpenVL is to allow users to quickly and easily recover useful information from multiple scenes across various software environments and hardware platforms. We implement two different human tracking systems to validate the critical underlying concepts of OpenVL.

关键词： Software architecture Computer vision Hardware Pipelines Acceleration Scalability parallel processing Middleware Application software Layout

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