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5th International Conference in image processing and Communications, IP&C 2013

作者： Reska, Daniel Boldak, Cezary Kretowski, Marek Bialystok University of Technology Bialystok Poland

ISBN: (纸本)9783319016214

This paper presents a distributed solution for the development of deformable model-based medical image segmentation methods. The design and implementation stages of the segmentation methods usually require a lot of time and resources, since the variations of the tested algorithms have to be constantly evaluated on many different data sets. To address this problem, we extended our web platform for development of deformable model-based methods with an ability to distribute the computational workload. The solution was implemented on a computing cluster of multi-core nodes with the use of the Java parallel processing Framework. The experimental results show significant speedup of the computations, especially in the case of resource-demanding three-dimensional methods. © Springer International Publishing Switzerland 2014.

关键词： Cluster computing

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海岸带遥感影像并行处理系统的设计与实现

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海洋测绘 2015年第4期35卷 71-74页

作者：陈建昌宁方辉栾峰郑虹海军出版社天津300450

针对海量、大型海岸带遥感影像处理的难题,以高性能集群并行处理技术和大规模分布式处理技术为代表的遥感影像处理方法,提出了一个构建在网格计算环境下的,适合大规模遥感影像快速、批量处理的一整套软硬件技术解决方案。从海岸带遥感... 详细信息

针对海量、大型海岸带遥感影像处理的难题,以高性能集群并行处理技术和大规模分布式处理技术为代表的遥感影像处理方法,提出了一个构建在网格计算环境下的,适合大规模遥感影像快速、批量处理的一整套软硬件技术解决方案。从海岸带遥感影像地理特征、技术特点、真正射影像生产流程等多方面对海岸带遥感影像并行处理系统的关键技术进行了描述说明,并对精度和效能进行了分析。

关键词：遥感影像海岸带并行计算集群架构真正射影像空三解算

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parallel distributed Downsampled Spatio-Temporal Track-Before-Detect Algorithm 19

Parallel Distributed Downsampled Spatio-Temporal Track-Befor...

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19th International Conference on methods and Models in Automation and Robotics (MMAR)

作者： Mazurek, Przemyslaw West Pomeranian Univ Technol Szczecin Dept Signal Proc & Multimedia Engn PL-71126 Szczecin Poland

ISBN: (纸本)9781479950812

Dim objects tracking, like asteroids or satellites, require high performance algorithm. Track Before Detect (TBD) algorithms could be applied for such scenario, but the computation power is very demanding. Giant amount of trajectories that could be processed is the main problem. The application of GPGPU allows the computation using optimized Downsampled Spatio Temporal TBD (ST-TBD) algorithm for small part of image sequences. Message Passing Interface (MPICH2) is applied for the image transmission and state space exchange between computers and GPGPUs. Analysis of the system with multiple processing computers, for bandwidth limited network, is provided. The system could be limited by the bandwidth of network interface, not by GPGPU, quite often. The derived formula for this system allows the design with best optimization of GPGPUs.

关键词： graphics processing units image sequences message passing object detection object tracking GPGPU MPICH2 bandwidth limited network dim object tracking downsampled spatio-temporal TBD algorithm general-purpose graphics processing unit image transmission message passing interface network interface spatio-temporal track-before-detect algorithm state-space exchange Algorithm design and analysis Computers Radar tracking Signal processing algorithms Tracking Trajectory Vectors image sequences image communication systems message passing Network interfaces Algorithm design and analysis Computers Signal processing algorithms trajectory Object detection radar target tracking tracking tracking objects Graphics processing Unit

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Correntropy Supervised Non-negative Matrix Factorization

Correntropy Supervised Non-negative Matrix Factorization

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International Joint Conference on Neural Networks

作者： Wenju Zhang Naiyang Guan Dacheng Tao Bin Mao Xuhui Huang Zhigang Luo Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha Hunan China 410073 Center for Quantum Computation and Intelligent Systems FEIT University of Technology Sydney Sydney NSW 2007 Australia College of Science National University of Defense Technology Changsha Hunan China 410073 Department of Computer Science and Technology College of Computer National University of Defense Technology Changsha Hunan China 410073

ISBN: (纸本)9781479919611

Non-negative matrix factorization (NMF) is a powerful dimension reduction method and has been widely used in many pattern recognition and computer vision problems. However, conventional NMF methods are neither robust enough as their loss functions are sensitive to outliers, nor discriminative because they completely ignore labels in a dataset. In this paper, we proposed a correntropy supervised NMF (CSNMF) to simultaneously overcome aforementioned deficiencies. In particular, CSNMF maximizes the correntropy between the data matrix and its reconstruction in low-dimensional space to inhibit outliers during learning the subspace, and narrows the minimizes the distances between coefficients of any two samples with the same class labels to enhance the subsequent classification performance. To solve CSNMF, we developed a multiplicative update rules and theoretically proved its convergence. Experimental results on popular face image datasets verify the effectiveness of CSNMF comparing with NMF, its supervised variants, and its robustified variants.

关键词： NMF subsequent classification NMF protocol matrix decomposition outliers Nonnegative LOSS FUNCTION images REDUCTION methods Dataset computer vision

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Efficient data partitioning for the GPU computation of moment functions

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JOURNAL OF parallel AND distributed COMPUTING 2014年第1期74卷 1994-2004页

作者： Jesus Martin Requena, Manuel Moscato, Pablo Ujaldon, Manuel Univ Malaga Comp Architecture Dept E-29071 Malaga Spain Hunter Med Res Inst Ctr Bioinformat Biomarker Discovery & Informat Ba Newcastle NSW Australia Univ Newcastle Sch Elect Engn & Comp Sci Callaghan NSW 2308 Australia

In our previous work, we have provided tools for an efficient characterization of biomedical images using Legendre and Zernike moments, showing their relevance as biomarkers for classifying image tiles coming from bone tissue regeneration studies (Ujaldon, 2009) [24]. As part of our research quest for efficiency, we developed methods for accelerating those computations on GPUs (Martin-Requena and Ujaldon, 2011) [10,9]. This new stage of our work focuses on the efficient data partitioning to optimize the execution on many-cores and clusters of GPUs to attain gains up to three orders of magnitude when compared to the execution on multi-core CPUs of similar age and cost using 1 Mpixel images. We deploy a successive and successful chain of optimizations which exploit symmetries in trigonometric functions and access patterns to image pixels which are effectively combined with massive data parallelism on GPUs to enable (1) real-time processing for our set of input biomedical images, and (2) the use of high-resolution images in clinical practice. (C) 2013 Elsevier Inc. All rights reserved.

关键词： Zernike moments image features High performance computing GPU Data partitioning

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Real-time reconstruction solution for positron emission mammography imaging-guided intervention

Real-time reconstruction solution for positron emission mamm...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Xiaoyue Gu Lin Li Long Wei Mingkai Yun Wei Zhou Zhenrui Lu Leiming Shang Pengfei Ying Chinese Academy of Sciences Beijing Engineering Research Center of Radiographic Techniques and Equipment Beijing China

Positron Emission Mammography (PEM) imaging systems with the ability in detection of millimeter-sized tumors were developed in recent years. And some of them have been well used in clinical applications. In consideration of biopsy application, a double-plane PET is more practical than a ring detector for the convenience of breast immobilization. In this study, the possibility of the imaging-guided intervention under a double-plane PET was studied. The distance between the planes is changeable with different breast size. And the system matrix is computed in real-time for every plane spacing. The biopsy motivation under the double-plane PET requires a high sensitivity, great resolution performance and a quickly reconstruction speed. The sensitivity result shows the central value is 13.28% with the 6cm spacing and 200-750keV energy window. The resolution modeling method shows the resolution recovery achieved in the cross-plane. The 3D-OSEM algorithm is applied. The reconstruction is supported with GPU (GeForce GTX 660). For the GPU acceleration, both projection and back-projection procedures use the tube model. Each tube is distributed with a thread and calculated in parallel in the GPU. A double plane PET is simulated above Geant4 Application for Emission Tomography (GATE) software based on MC methods. With all the span tubes calculated, the GPU takes 19 seconds to reconstruct the image while the CPU takes 1037 seconds. The image quality was tested with different acquisition times. The series of biopsy images are showed. The point and rod source both could be imaged in the simulated biopsy process.

关键词： Graphics processing units image reconstruction Positron emission tomography Biopsy Energy resolution Real-time systems Breast

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基于集群的遥感并行处理技术浅析

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电光系统 2015年第3期 11-14页

作者：秦臻中国电子科技集团公司第二十七研究所郑州450047

为解决遥感影像处理过程中存在的计算密集型以及数据密集型问题，深入研究GPU集群的体系结构，遥感平台类型和遥感并行处理方法等。采用了基于CUDA的GPU并行运算平台和基于Hadoop的分布式并行运算平台，重点分析了几种遥感数据处理并行... 详细信息

为解决遥感影像处理过程中存在的计算密集型以及数据密集型问题，深入研究GPU集群的体系结构，遥感平台类型和遥感并行处理方法等。采用了基于CUDA的GPU并行运算平台和基于Hadoop的分布式并行运算平台，重点分析了几种遥感数据处理并行方法。最终得出基于集群的遥感并行方法较传统方法有着明显优势，并对遥感影像处理系统并行计算前景和研究热点问题进行了展望。

关键词：遥感并行集群大数据

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Proposal of Eye-gaze Recognize Method for Input Interface without Infra-red Ray Equipment 15

Proposal of Eye-gaze Recognize Method for Input Interface wi...

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15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed Computing (SNPD)

作者： Fukushima, Kazuki Shirahama, Naruki Kitakyushu Natl Coll Technol Dept Control Engn Adv Engn Kitakyushu Fukuoka Japan Kitakyushu Natl Coll Technol Dept Elect & Control Kitakyushu Fukuoka Japan

ISBN: (纸本)9781479956043

The main purpose of this study is to develop the inexpensive eye-gaze input interface for disabled people. The eye-gaze inputting can suit many situations, and it has little load for user because it is non-contact input interface. Many projects about the eye-gaze have been studied recently. Most of the productions of eye-gaze inputting use infra-red rays (IR) to detect the iris in the eyes. However the harm of IR for human eyes has been pointed out. In addition, if the interface requires the camera which has IR, the users must purchase the specific devices. Therefore we adopted a PC and the camera doesn't have the IR function. We propose the system by using the motion-template that is one of the functions of OpenCV library for tracking motion. However this function can't recognize the point where the user watches on monitor. It can recognize only the motion. That's why we made calibrate function to relate the eye-gaze with the monitor. We propose two methods to recognize eye-gaze. Both methods require the iris binary image. This image shows the iris shape and we expect that user's visual point can be calculated from this iris image. One method uses gravity point to calculate the point. Other method uses the rectangular approximation to calculate it. We did experiments for some subjects by both methods and compared the results to validate which method is proper and how much the calibrate function is accurate. In the experiment, the function randomly spotted a blue target on the monitor. The target position changes on a regular basis. In this experiment, the user stares at the target and we check the accuracy. If this function or methods are proper, the function correctly recognizes the user stare at target or near. For more accuracy, we will consider about how to detect the iris correctly in the future.

关键词： assistive technology eye-gaze web-camera image processing welfare support-equipment OpenCV

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Building High Performance System for processing a Daily Large Volume of Chinese Satellites imagery 4

Building High Performance System for Processing a Daily Larg...

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Conference on High-Performance Computing in Remote Sensing IV

作者： Deng, Huawu Huang, Shicun Wang, Qi Pan, Zhiqiang Xin, Yubin Natl Capital Off PCI Geomat Quebec City PQ J9J 0L6 Canada

ISBN: (纸本)9781628413106

The number of Earth observation satellites from China increases dramatically recently and those satellites are acquiring a large volume of imagery daily. As the main portal of image processing and distribution from those Chinese satellites, the China Centre for Resources Satellite Data and Application (CRESDA) has been working with PCI Geomatics during the last three years to solve two issues in this regard: processing the large volume of data (about 1,500 scenes or 1 TB per day) in a timely manner and generating geometrically accurate orthorectified products. After three-year research and development, a high performance system has been built and successfully delivered. The high performance system has a service oriented architecture and can be deployed to a cluster of computers that may be configured with high end computing power. The high performance is gained through, first, making image processing algorithms into parallel computing by using high performance graphic processing unit (GPU) cards and multiple cores from multiple CPUs, and, second, distributing processing tasks to a cluster of computing nodes. While achieving up to thirty (and even more) times faster in performance compared with the traditional practice, a particular methodology was developed to improve the geometric accuracy of images acquired from Chinese satellites (including HJ-1 A/B, ZY-1-02C, ZY-3, GF-1, etc.). The methodology consists of fully automatic collection of dense ground control points (GCP) from various resources and then application of those points to improve the photogrammetric model of the images. The delivered system is up running at CRESDA for pre-operational production and has been and is generating good return on investment by eliminating a great amount of manual labor and increasing more than ten times of data throughput daily with fewer operators. Future work, such as development of more performance-optimized algorithms, robust image matching methods and application workflows

关键词： High Performance Computing (HPC) parallel Computing distributed Computing GPU CPU System Satellite imagery Orthorectification Geometric Accuracy Ground Control Points (GCP)

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大规模空间数据融合分析关键技术研究

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科技资讯 2016年第1期14卷 171-172页

作者：刘洪元毕淼张楠北京大学北京天耀宏图科技有限公司中标软件有限公司

首先,研究了基于HBASE存储技术的栅格数据,海量栅格数据存储拟基于分布式文件和分布式内存对象系统,采用纵向分层、横向分块的方式,将不同分辨率的栅格数据逐级等分,切分成256×256像素小影像数据,由顶向底构成数字影像分辨率逐渐... 详细信息

首先,研究了基于HBASE存储技术的栅格数据,海量栅格数据存储拟基于分布式文件和分布式内存对象系统,采用纵向分层、横向分块的方式,将不同分辨率的栅格数据逐级等分,切分成256×256像素小影像数据,由顶向底构成数字影像分辨率逐渐增高的金字塔模型。由于遥感影像文件通常数据量较大,需要较大的内存时通常会采用压缩编码来减少存储空间,在GIS中多采用信息无损编码,而在对原始遥感影像进行压缩编码时,有时也采取有损压缩,拟采用Run-Length codes和Pack Bits想结合的方法对影像数据进行压缩,以提高压缩效率。其次,在研究地址模糊匹配算法的基础上,根据工商行业地址数据库特定存储格式,选取适于工商行业地址的拆分方案,提出一种分级结构的地址库的模糊匹配策略,以一票否决和模糊匹配共存的方式进行企业地理要素匹配,提高地址匹配的效率和准确度。另外,位置服务作为一种流行的基于上下文的推荐系统能根据用户当前位置信息推荐兴趣点数据。但是,这种内在特征导致泄露用户的敏感位置信息给不可信的位置服务提供者。我们主要关注了查询预测中的位置隐私问题,提出了一种新的位置隐私保护方案,并用实验评估了此方案的性能表现并展示了它的实用性。最后,我们研究了基于ITSS理论与用户运维管理最佳实践相结合的资源管控产品,它可以对客户整个IT资源的运行的状态、事件、故障、性能等进行全面监控。从业务角度帮助客户有效管理和优化IT环境的运营效率,实现IT基础架构的全方位监控,优化IT服务流程,提升IT服务质量。

关键词：密码学 HBASE存储技术内存泄漏攻击冷启动栅格数据位置服务 ITSS 统一事件处理引擎

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