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A novel and uniform image partitioning on spiral architecture

INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING 2006年第1-2期2卷 57-63页

作者： Wu, Qiang He, Xiangjian Hintz, Tom Ye, Yuhuang Univ Technol Sydney Dept Comp Syst POB 123Broadway Sydney NSW 2007 Australia Fuzhou Univ Dept Informat & Commun Engn Fuzhou 350002 Fujian Peoples R China

Uniform image partitioning based on spiral architecture plays an important role in parallel image processing in many aspects such as uniform data partitioning, load balancing, zero data exchange between the processing nodes et al. However, when the number of partitions is not the power of seven like 7, 49, every sub-image except one is split into a few fragments which are mixed together. We could not tell which fragments belong to which subimage. It is an unacceptable flaw to parallel image processing. This paper proposes a method to resolve the problem mentioned above. From the experimental results, it is shown that the proposed method correctly identifies the fragments belonging to the same subimage and successfully collects them together to be a complete subimage. Then, these subimages can be distributed into the different processing nodes for further processing.

关键词： distributed image processing hexagonal architecture image partitioning spiral architecture

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Feasibility Study of a distributed and Parallel Environment for Implementing the Standard Version of AAM Model

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JOURNAL OF INFORMATION processing SYSTEMS 2016年第1期12卷 149-168页

作者： Naoui, Moulkheir Mahmoudi, Said Belalem, Ghalem Univ Oran Dept Comp Sci Fac Exact Sci & Appl Oran 31000 Algeria Univ Mons Dept Comp Sci Fac Engn B-7000 Mons Belgium

The Active Appearance Model (AAM) is a class of deformable models, which, in the segmentation process, integrates the priori knowledge on the shape and the texture and deformation of the structures studied. This model in its sequential form is computationally intensive and operates on large data sets. This paper presents another framework to implement the standard version of the AAM model. We suggest a distributed and parallel approach justified by the characteristics of the model and their potentialities. We introduce a schema for the representation of the overall model and we study of operations that can be parallelized. This approach is intended to exploit the benefits build in the area of advanced image processing.

关键词： Active Appearance Model Data Parallelism Deformable Model distributed image processing Parallel image processing Segmentation

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An image processing-based Test Bench for Performance Evaluation in Hybrid Clouds

An Image Processing-based Test Bench for Performance Evaluat...

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13th International Conference on Computational Science and Its Applications (ICCSA)

作者： Santos, Rafael D. C. Apduhan, Bernady O. Brazilian Natl Inst Space Res LAC CTE Sao Jose Dos Campos SP Brazil Kyushu Sangyo Univ Fac Informat Sci Fukuoka Japan

ISBN: (纸本)9780769550459

Hybrid clouds are combinations of private, community and/or public clouds, and allow the creation of "cloud bursting" deployment models, in which part of the data processing is done in a private cloud and resources from public clouds are used when needed. This model is particularly interesting for CPU-intensive scientific data processing. In order to help determine in which conditions part of the whole of a large data processing task must be sent to a public or private cloud, dynamic benchmarks are required. In this paper we propose an image processing-based test bench that monitors the performance of the clouds resources to gather useful statistics and to determine which resource should be used for a specific task, in order to reduce costs and running time.

关键词： Hybrid Clouds Test Bench distributed image processing

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AOI Techniques for Surface Defect Inspection

AOI Techniques for Surface Defect Inspection

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International Conference on Precision Instrumentation and Measurement 2010

作者： Lu, Rong Sheng Shi, Yan Qiong Li, Qi Yu, Qing Ping Hefei Univ Technol Sch Instr Sci & Optoelect Eng Hefei 230009 Peoples R China

ISBN: (纸本)9780878492299

Recent years, automated optical inspection (AOI) is developed very fast along with the rapid development of the emerging industries of semiconductor, LCD, PCB, optical communication and precision assembly, and also widely used in the industries of robot, automobile, steel, textile, printing, medicine, etc. In this paper, we will take a review of the AOI techniques, which are used for defect inspection on a large surface, such as inspecting the quality of TFT-LCD glass substrate and filter. The AOI system architecture having high inspection speed is illustrated. Some key techniques of light illumination, distributed image processing and convey mechanism, are explained.

关键词： automated optical inspection defect inspection lighting conveyor distributed image processing

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Poster Abstract: A Wireless Pedestrian Tracking Network

Poster Abstract: A Wireless Pedestrian Tracking Network

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7th ACM Conference on Embedded Networked Sensor Systems (SENSYS)

作者： Jiang, Lun Kamthe, Ankur Cerpa, Alberto E. Univ Calif Merced Merced CA 95343 USA

ISBN: (纸本)9781605587486

The ease of deploying wireless camera sensor nodes has grown with the reduction of manufacturing costs of low power, high resolution cameras. Although current wireless sensor network platforms have limited on-board resources for solving highly complex computer vision problems, we show that by splitting the processing costs between the sensor node and a powerful backend, we can achieve better classification results. Using such a distributed processing approach, we balance the computational and communication costs for achieving better detection performance while improving the system lifetime.

关键词： Wireless Camera Sensor Networks distributed image processing

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Achieving fast fractal image compression using spiral architecture

Achieving fast fractal image compression using spiral archit...

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International Conference on Parallel and distributed processing Techniques and Applications

作者： Liu, D He, XJ Dalian Maritime Univ Inst Naut Sci & Technol Dalian 116026 Liaoning Peoples R China

ISBN: (纸本)1932415610

Spiral Architecture is a relatively new and powerful approach to general-purpose machine vision system. n this novel architecture, Spiral Addition and Multiplication achieve image processing. As we all nown, fractal image compression methods have maximal image compression ratio, at the cost Of slow coding speed. This paper presents an algorithm to achieve high image compression ratio without slow coding speed on Spiral Architecture, which also improves the Spiral Architecture s usage in image processing.

关键词： image compression spiral architecture fractals distributed image processing

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image compression on spiral architecture

Image compression on spiral architecture

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International Conference on Imaging Science, Systems and Technology (CISST 03)

作者： Hintz, T Wu, Q Univ Technol Sydney Fac Informat Technol Dept Comp Syst Sydney NSW 2007 Australia

ISBN: (纸本)1892512483

Spiral Architecture is a new and powerful approach to a general-putpose machine vision system. Earlier research on the Spiral Architecture focused on the properties of undistorted translation, rotation and scaling. The research reported here uses the properties of the pixel address labelling scheme. The property of interest is the physical proximity of the hexagonal pixels with neighbouring addresses. Rectangular systems may, for instance, have vertical physically adjacent pixels but the address distance is the length of a scan line. It is demonstrated that in the Spiral Architecture, unlike the rectangular system, many images have the property that neighbouring pixels have similar intensities thus giving opportunities for better compression.

关键词： image compression spiral architecture image analysis distributed image processing

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Recognition method of license plate for black box video using Apache Kafka 17

Recognition method of license plate for black box video usin...

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17th Annual International Conference on Electronics, Information, and Communication (ICEIC)

作者： Hong, SeongHu Jung, SangWon Jeong, ChangSung Korea Univ Dept Elect Engn Seoul South Korea

ISBN: (纸本)9781538647547

With the increase in the number of images from various channels such as a vehicle's black box, CCTV and drone, the amount of data related to the vehicles and the traffic situations is also explosively increasing. Also, the greatly increased image data analysis is further emphasizing the importance of large-scale image data processing. In this regard, this study proposed and designed a distribution system using Kafka. For high-speed processing of data, black box image frames were distributed to several nodes using Kafka, a real-time message distribution processing system. Moreover, by setting the frame of black box image as input to each node, the localization of car license plates through image processing, and segmented character recognition were explored.

关键词： distributed image processing Kafka Recognition Clustering

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Distribution of image processing applications on a heterogeneous workstation network. Modeling, load-balancing and experimental results.

Distribution of image processing applications on a heterogen...

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Conference on Parallel and distributed Methods for image processing

作者： HernandezSosa, D CabreraGamez, J Univ. de Las Palmas de Gran Canaria (Spain)

ISBN: (纸本)0819425885

This work analyzes the computation distribution in applications generated by a multilevel knowledge-based system for image processing called SVEX.(1) This distribution has been carried out on a heterogeneous workstation network, trying to take advantage of the availability and frequent infra-utilization of this computational resource. The parallelization is based on message-passing tool Parallel Virtual Machine (PVM).(2) Firstly SVEX and its computational scheme are described, detailing the structure of the first level (the Pixel Processor). Then different distribution paradigms are studied, selecting for its implementation the parallelism based on the data. Considering this alternative, the research addresses two fundamental problems: analysis of basic load-balancing schemes and obtaining-a model for predicting parallelization behavior as new machines are added to the computational network. The results produced in a series of experiments permit the comparison of load-balancing schemes and the validation of the proposed model. The experiments include the processing of both static images and sequences.

关键词： knowledge based vision systems (KBVS) Parallel Virtual Machine (PVM) distributed image processing load-balancing

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Further approaches to image compression on spiral architecture

Further approaches to image compression on spiral architectu...

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International Conference on Imaging Science, Systems and Technology (CISST 2004)

作者： Hintz, T Wang, HQ He, XJ Univ Technol Sydney Fac Informat Technol Dept Comp Syst Sydney NSW 2007 Australia

ISBN: (纸本)1932415351

Spiral Architecture is a new and powerful approach to a general-purpose machine vision system. Earlier research compression on the Spiral Architecture focused on the properties of the pixel address labeling scheme. This gives rise to the property of interest which is the physical proximity of the hexagonal pixels with neighboring addresses. It was shown that rectangular systems have vertical physically adjacent pixels but the address distance is the length of a scan line. It was demonstrated that in the Spiral Architecture, unlike the rectangular system, has the property that neighboring pixels have similar intensities thus giving opportunities for better compression. The latest analysis shows the opportunities when the scaling property of the Spiral architecture is leveraged.

关键词： image compression spiral architecture image analysis distributed image processing

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