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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VI"

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38th International conference on Information systems Architecture and Technology, ISAT 2017

38th International Conference on Information Systems Archite...

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38th International conference on Information systems Architecture and Technology, ISAT 2017

ISBN: (纸本)9783319672281

The proceedings contain 101 papers. The special focus in this conference is on Information systems Architecture and Technology. The topics include: Use of the modified EPSILON decomposition for the LTI models reduction;modified HALS algorithm for image completion and recommendation system;proposal of input shaper in real applications;a structure-driven process of automated refactoring to design patterns;modeling autoreferential relationships in association-oriented database metamodel;identification of objects based on generalized amplitude-phase images statistical models;fundamental transforms and models;an intelligent multi-agent system framework for fault diagnosis of squirrel-cage induction motor broken bars;performance comparison of neural network training algorithms for load forecasting in smart grids;the experiment with quality assessment method based on strategy design pattern example;development of a support system for managing the cyber security of information and communication environment of transport;brainstorming sessions – towards improving effectiveness and assessment of ideas generation;analysis of IMS/NGN call processing performance using phase-type distributions based on experimental histograms;motion repeatability of tennis forehand preparation phase without the ball using three dimensional data;towards standardized mizar environments;formalization of the nominative algorithmic algebra in mizar;military and crisis management decision support tools for situation awareness development using sensor data fusion;a practical approach to tiling zuker’s RNA folding using the transitive closure of loop dependence graphs and on loss process in a queueing system operating under single vacation policy.

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DUBIO: a fully automatic Drones & cloUd Based Infrared mOnitoring system for large-scale PV plants

DUBIO: a fully automatic Drones & cloUd Based Infrared mOnit...

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IEEE International conference on Environment and Electrical Engineering (EEEIC) / IEEE Industrial and Commercial Power systems Europe (ICPS Europe)

作者： Colaprico, Marco de Ruvo, Maria Francesca Leotta, Giuseppe Bizzarri, Fabrizio Vergura, Silvano Marino, Francescomaria APIS Apulia Intelligent Syst Ltd Bari Italy Enel Green Power Innovat & Sustainabil Rome Italy Polytech Univ Bari DEI Bari Italy

ISBN: (纸本)9781538651865

This paper introduces DUBIO, a cloud platform which analyzes the radiometric infrared videos uploaded by drones which patrol large PV plants. Thanks to its artificial vision algorithms, DUBIO does not require any human intervention in selecting and associating the framed PV modules to the corresponding ones in the topology of the plant. DUBIO implements an innovative diagnostic protocol, which evidences the behavior of the module independently from the environmental conditions, i.e., decontextualizes the overheating of each module from the external conditions. By this way, the data automatically computed and collected in a multimedia database provide the O&M technicians with significant information, useful also for studying the ageing trend of each module of the monitored plant. The system, which is currently under a massive test in several plants of Enel Green Power, will constitute a pay for use service cloud platform worldwide available to the O&M market, since the second quarter of 2018.

关键词： thermography computer aided diagnostics digital image processing PV cells PV modules drone based monitoring

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9th International conference on Wireless and Satellite systems, WiSATS 2017

9th International Conference on Wireless and Satellite Syste...

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9th International conference on Wireless and Satellitesystems, WiSATS 2017

ISBN: (纸本)9783319765709

The proceedings contain 19 papers. The special focus in this conference is on Wireless and Satellite systems. The topics include: How to Support the Machine Learning Take-Off: Challenges and Hints for Achieving Intelligent UAVs;UAVs and UAV Swarms for Civilian Applications: Communications and image processing in the SCIADRO Project;a Comparative Assessment of Embedded Energy Storage and Electric Vehicle Integration in a Community virtual Power Plant;investigating the Impact of Cyber-Attack on Load Profile of Home Energy Management System;propagation Elements for the Link Budget of Broadband Satellite systems in Ka and Q/V Band;Monthly and Seasonal CFLOS Statistics for Optical GEO Feeder Links Design;Large Scale Site Diversity Experimental Campaign Between Greece and UK Using ALPHASAT: First Results;architectural Design of the Q/V Band Site Diversity Experiment Between Austria and Hungary;flexible Capacity Allocation in Smart Gateway Diversity Satellite systems Using Matching Theory;doS Attack Impact Assessment on Software Defined Networks;analysis of the Suitability of Satellite Communication for Time-Critical IoT Applications in Smart Grid and Medical Grade Networks;Making H-ARQ Suitable for a Mobile TCP Receiver over LEO Satellite Constellations;Joint Beam Hopping and Precoding in HTS systems;link Adaptation algorithms for Dual Polarization Mobile Satellite systems;Bandwidth Management Using MPLS Model for Future Mobile Wireless Networks;A Survey on Network Architectures and Applications for Nanosat and UAV Swarms;Command and Control of UAV Swarms via Satellite.

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A Scheme for Accelerating image processing algorithms using SIMD for ARM Cortex A based systems

A Scheme for Accelerating Image Processing Algorithms using ...

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International conference on Innovations in Information, Embedded and Communication systems (ICIIECS)

作者： Prasannakumar, Nikhilesh Netaji Subhas Inst Technol Dept Instrumentat & Control Engn New Delhi India

ISBN: (纸本)9781509032945

Increasing computational requirements in embedded mobile devices, especially with regard to image processing, necessitates the use of hardware acceleration to handle higher throughputs. ARM Cortex A series of processors, which are present in a majority of mobile devices such as smartphones, feature a single instruction multiple data (SIMD) coprocessor called NEON. The wide SIMD architecture enables the parallelization of various image processing operations and algorithms, resulting in significant improvements in the system throughput. This paper discusses the use of NEON Intrinsics, a C language implementation of the NEON SIMD instruction set, which is an extension of the ARM instruction set, allowing the seamless integration of optimized image processing libraries with application code written in higher level languages, while maintaining performance comparable to hand optimized assembly language libraries. Several image processing operations and algorithms optimized using NEON Intrinsics are benchmarked on a test bench as well as real world hardware platforms to validate the acceleration achieved in image processing tasks.

关键词： embedded systems image processing hardware acceleration SIMD NEON intrinsics

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A Prototype System for Three-Dimensional Cardiac Modeling and Printing with Clinical Computed Tomography Angiography 4th

A Prototype System for Three-Dimensional Cardiac Modeling an...

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4th Euro-China conference on Intelligent Data Analysis and Applications, ECC 2017

作者： Tang, Shao-jie Zhang, Hong Peng, Wei Shi, Hao-yang Guo, Cong Zhao, Guang-yuan Bian, Wei-guo Chen, Yang School of Automation Xi’an University of Posts and Telecommunications Xi’an China Orthopaedics Department The First Affiliated Hospital of Xi’an Jiaotong University Xi’an China Laboratory of Image Science and Technology Southeast University Nanjing China Ministry of Education Nanjing China

ISBN: (纸本)9783319685267

To help physicians and their assistants plan, rehearse and follow up a surgical therapy with a computer device, people may carry out a three-dimensional (3-D) cardiac modeling by digital image processing algorithms and a 3-D cardiac printing by appropriate materials, according to the DICOM data of patient’s heart acquired by an advanced computed tomography angiography (CTA) device in a hospital. In this work, we introduce the design and implementation of a prototype system of 3-D cardiac modeling and printing. Firstly, we converted the CTA data of the heart from the original DICOM format to *** format within the Matlab programming environment. Secondly, we carried out the 3-D image segmentation with the region growing to semi-automatically determine the region of interest (ROI), i.e., the cardiac tissue, by sequentially processing the CT image slices. Thirdly, we performed the 3-D modeling and volume rendering for the binary volume image of the cardiac tissue. Lastly, we converted the 3-D modeling into STL format and sent it to the table-top 3-D printer mounted in our lab, generated the corresponding G codes by Flashprint software to manipulate the 3-D printer. It is noted that the software part of the prototype system was developed within Matlab and performed well for the expected task. © 2018, Springer International Publishing AG.

关键词： Heart

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A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics

A semiautomatic algorithm for three-dimensional segmentation...

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conference on Medical Imaging - image-Guided Procedures, Robotic Interventions, and Modeling

作者： Shahedi, Maysam Ma, Ling Halicek, Martin Guo, Rongrong Zhang, Guoyi Schuster, David M. Nieh, Peter Master, viraj Fei, Baowei Emory Univ Dept Radiol & Imaging Sci Atlanta GA 30322 USA Georgia Inst Technol Wallace H Coulter Dept Biomed Engn Atlanta GA 30332 USA Emory Univ Atlanta GA 30322 USA Emory Univ Dept Urol Atlanta GA 30322 USA Emory Univ Winship Canc Inst Atlanta GA 30322 USA

ISBN: (数字)9781510616424

ISBN: (纸本)9781510616424

Prostate segmentation in computed tomography (CT) images is useful for planning and guidance of the diagnostic and therapeutic procedures. However, the low soft-tissue contrast of CT images makes the manual prostate segmentation a time-consuming task with high inter-observer variation. We developed a semi-automatic, three-dimensional (3D) prostate segmentation algorithm using shape and texture analysis and have evaluated the method against manual reference segmentations. In a training data set we defined an inter-subject correspondence between surface points in the spherical coordinate system. We applied this correspondence to model the globular and smoothly curved shape of the prostate with 86, well-distributed surface points using a point distribution model that captures prostate shape variation. We also studied the local texture difference between prostate and non-prostate tissues close to the prostate surface. For segmentation, we used the learned shape and texture characteristics of the prostate in CT images and we used a set of user inputs for prostate localization. We trained our algorithm using 23 CT images and tested it on 10 images. We evaluated the results compared with those of two experts' manual reference segmentations using different error metrics. The average measured Dice similarity coefficient (DSC) and mean absolute distance (MAD) were 88 +/- 2% and 1.9 +/- 0.5 mm, respectively. The averaged inter-expert difference measured on the same dataset was 91 +/- 4% (DSC) and 1.3 +/- 0.6 mm (MAD). With no prior intra-patient information, the proposed algorithm showed a fast, robust and accurate performance for 3D CT segmentation.

关键词： image segmentation Prostate Computed tomography image processing algorithms and systems 3D image processing 3D modeling Algorithm development Cancer Shape analysis

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The Use of Different Architectures and Streak Observations algorithms to Detect Space Debris

The Use of Different Architectures and Streak Observations A...

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ARCS Workshop 2018;31th International conference on Architecture of Computing systems

作者： Gerard vives Vallduriola Arthur Scharf Jean-Noel Pittet Jens Utzmann Diego Andres Suarez Trujillo Alessandro Vananti Tim Helfers Damien Daens

Modern society depends heavily on satellite infrastructure. However, Space becomes more and more congested by space debris from over 50 years of space activities. This growing threat in orbit must be monitored. The aim of the ESA GSTP activity "Optical In-Situ Monitor" is to design and test a breadboard of a space-based space debris camera and to develop and test its end-to-end processing chain. The on-board processing functions will focus on the payload image processing in order to reduce the data volume (image segmentation for streak detection). The suitable technologies for the processing units will be described: the HPDP, an ARM-Cortex R5F processor and Microsemi's RTG4 FPGA. For image processing, several algorithms were tested extensively: the CCSDS 122.0-B-1, the Boundary Tensor and the Differences Method. This paper shows the current state of the project and gives an overview of what activities still need to be tackled before finalization. The final step of the project will be to decide which combination of processor-algorithm yields the best results.

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Enhancing view Synthesis with image and Depth Map Upsampling 24

Enhancing View Synthesis with Image and Depth Map Upsampling

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24th International conference on systems, Signals and image processing (IWSSIP)

作者： Dziembowski, Adrian Grzelka, Adam Mieloch, Dawid Stankiewicz, Olgierd Domanski, Marek Poznan Univ Tech Chair Multimedia Telecommun & Microelect Poznan Poland

ISBN: (纸本)9781509063444

In the paper we present a method for increasing the quality of views synthesized with typical Depth-image-Based Rendering (DIBR) view synthesis algorithms. In the proposed idea the resolution of input real views and corresponding depth maps is doubled before the view synthesis. After the synthesis, the resolution of a synthesized view is downsampled back to the original resolution. This approach is transparent for the view synthesis algorithms, thus can be used with any DIBR method. In the paper, tests for two synthesis algorithms (the state-of-the-art MPEG reference software and our view synthesis method) are presented. For both algorithms, the proposed upsampling improves objective and subjective quality of synthesized views.

关键词： view Synthesis Free-viewpoint Television Depth Map Upsampling

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GPU Accelerated 2D and 3D image processing

GPU Accelerated 2D and 3D Image Processing

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Federated conference on Computer Science and Information systems (FedCSIS)

作者： Morar, Anca Moldoveanu, Florica Moldoveanu, Alin Balan, Oana Asavei, victor Univ Politehn Bucuresti Bucharest Romania

ISBN: (纸本)9788394625375

The current advances in hardware led to the development of the GPGPU (General-purpose computing on graphics processing units) paradigm. Thus, nowadays, the GPU (Graphics processing Unit) is used not only for graphics programming, but also for general purpose algorithms. This paper discusses several methods regarding the use of CUDA (Compute Unified Device Architecture) for 2D and 3D image processing techniques. Some general rules for writing parallel algorithms in computer vision are pointed out. A theoretic comparison between the complexity for CPU (Central processing Unit) and GPU implementations of image processing algorithms is given. Also, real computing times are provided for several algorithms in order to point out the actual performance gain of using the GPU over CPU. The factors that contribute to the difference between theoretic and real performance gain are also discussed.

关键词： GPGPU CUDA CPU central processing units Graphics processing Unit GRAPPER PICK UP Three-Dimensional images images computer vision image processing algorithm

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Technion aerial systems 2017 development of an autonomous unmanned aerial system for auvsi suas competition 58

Technion aerial systems 2017 development of an autonomous un...

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58th Israel Annual conference on Aerospace Sciences, IACAS 2018

作者： Toporek, A. Bajayo, S. Benchetrit, J. Bensoussan, E. Brod, H. Bruner, J. Greenberg, S. Joseph, D. Shender, A. Solovey, M. Tzror, I. Artzi, D. Gutnik, Y. Ben-David, D. Genius, E. Hasson, A. Ibn-Danan, N. Markus, O. Milul, O. Yehudai, R. Erez, J. Faculty of Aerospace Engineering Technion Haifa3200003 Israel Faculty of Electrical Engineering Technion Haifa3200003 Israel

This technical design paper is a summary of the work conducted by the Technion Aerial systems (TAS) team for the AUVSI Student UAS Competition 2017. The document describes the design of the STRIX system, the rationale behind the design choices, the development process, and the testing performed to enable STRIX to accomplish all its tasks. STRIX is an airplane with a wing-fuselage configuration, equipped with two electricity-powered engines and an all-composite structure. It is capable of autonomous flight, including take-off and landing;its on-board computers enable image processing;it uses "sense and avoid" algorithms that operate online and can calculate routes while still on the ground. The customized user interface (UI) assists in effective control over the system. The design team comprises undergraduate students from the faculties of Aerospace Engineering and Electrical Engineering. This year, the project focused on further improving the system, giving it broader and more reliable capabilities. © 2018 Israel Annual conference on Aerospace Sciences. All rights reserved.

关键词： Antennas

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