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

共 12976 条记录，以下是4511-4520 订阅

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Target detection using Gaussian mixture models and fourier transforms for UAV maritime search and rescue

Target detection using Gaussian mixture models and fourier t...

引用

International conference on Unmanned Aircraft systems (ICUAS)

作者： Núria Martínez Dinnbier Yoann Thueux Al Savvaris Antonios Tsourdos SATM Cranfield University Cranfield United Kingdom Airbus Group Innovations Newport United Kingdom

ISBN: (纸本)9781509044962

In the event of a maritime disaster, casualties need to be found and rescued promptly. image processing methods could help to perform automated detection from a UAV. The main current approaches make use of multispectral and thermal cameras, which can deal with lightning difficulties but are expensive and could suffer from high noise problems. This paper presents a method combining both color analysis and frequency patterns identification using an inexpensive vision camera (EO camera), and implements it through an adaptive algorithm to deal with a dynamically changing background. The method is tested successfully in different environments.

关键词： image color analysis Harmonic analysis Training Cameras Statistics Clustering algorithms

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Adaptive topology decomposition for storm

Adaptive topology decomposition for storm

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International conference on Electrical Engineering and Informatics (ICELTICs)

作者： Cheng Xie Liang Qian Lianghui Ding Feng Yang Institute of Wireless Communication Technology Shanghai Jiao Tong University Shanghai China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China

Real-time computing system attracts more and more attention in both academic researches and industrial applications. One of the real-time computing systems, Apache Storm, because of its characteristics of stream processing and high fault tolerance, is widely used for machine learning and distributed remote process call (RPC), etc. However, the existing approaches to decompose topology for Storm cannot ensure an optimized performance. In this paper, we propose an adaptive topology decomposition algorithm for Storm where topology decomposition based on cluster status and components of topology can be performed at run time. We have evaluated the processing performance and the load balancing of the algorithm. The evaluation results indicate that the proposed algorithm has better performances on task processing and load-balancing than the existing algorithms.

关键词： Topology Network topology Algorithm design and analysis Clustering algorithms Storms Monitoring

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FPGA Hardware Architecture for Stereoscopic image Compression Based on Block Matching, Watermarking and Hamming Code 2

FPGA Hardware Architecture for Stereoscopic Image Compressio...

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2nd International conference on image processing, Applications and systems (IPAS)

作者： Akkad, Ghattas ElHassan, Moustapha Ayoubi, Rafic Univ Balamand Comp & Elect Engn Koura Lebanon

ISBN: (纸本)9781509016457

image compression and size reduction increases the number of images stored on a memory space and reduces bandwidth consumption while increasing transmission speed on a communication channel. images can be compressed and decompressed using different methods and algorithms. With the vast increase of quality and size, dedicated processors with parallel processing blocks such as FPGAs are mainly targeted to implementing faster processing circuits and algorithms. This paper proposes FPGA hardware architecture for a stereoscopic image compression algorithm based on block matching, watermarking and Hamming code.

关键词： MSB FPGA Stereoscopic image compression watermarking Hamming Code

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Dictionary learning with residual codes

Dictionary learning with residual codes

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IEEE Signal processing and Communications Applications (SIU)

作者： Yiğit Oktar Mehmet Türkan Bilgisayar Mühendisliği İzmir Ekonomi Üniversitesi İzmir Türkiye Elektrik ve Elektronik Mühendisliği İzmir Ekonomi Üniversitesi İzmir Türkiye

In conventional sparse representations based dictionary learning algorithms, initial dictionaries are generally assumed to be proper representatives of the system at hand. However, this may not be the case, especially in some systems restricted to random initialization. Therefore, a supposedly optimal state-update based on such an improper model might lead to undesired effects that will be conveyed to successive learning iterations. In this paper, we propose a dictionary learning method which includes a general error-correction process that codes the residual left over from a less intensive initial learning attempt and then adjusts the sparse codes accordingly. Experimental observations show that such additional step vastly improves rates of convergence in high-dimensional cases, also results in better converged states in the case of random initialization. Improvements also scale up with more lenient sparsity constraints.

关键词： Discrete cosine transforms Dictionaries Dogs Matching pursuit algorithms Learning systems Encoding image sequences

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Optimal radar cross section estimation in synthetic aperture radar

Optimal radar cross section estimation in synthetic aperture...

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IEEE Ukraine conference on Electrical and Computer Engineering (UKRCON)

作者： V. K. Volosyuk S. S. Zhyla Aircraft Radio-Electronic Systems Design Zhukovsky National Aerospace University “KhAI” Kharkiv Ukraine

Synthetic aperture radar (SAR) is a widely used technique suited for real-time and all-weather imaging of natural surfaces and artificial objects. To improve image resolution and increase accuracy of radar cross section estimation the problem of statistical synthesis of signal processing algorithm in SAR is solved. Proposed method allows to form images with super-resolution in azimuth and range. Synthesis is performed using modern theory of radio engineering systems statistical optimization.

关键词： Synthetic aperture radar Radar cross-sections Signal processing algorithms Radar imaging Scattering Surface treatment

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New Methods and algorithms of Search,Detection and Tracking of Moving Point Targets along a Complex Path on a Complex Background

New Methods and Algorithms of Search,Detection and Tracking ...

引用

2017 International conference on Mathematics, Modelling and Simulation Technologies and Applications（MMSTA 2017)

作者： Maksim KHISAMUTDINOV Anatoly KALYAEV Iakov KOROVIN Southern Federal University

The article is devoted to solving the fundamental scientific problems of developing universal methods of video sequence processing for the detection and tracking of objects of *** work on the subject,authors designed new methods and algorithms for universal monitoring systems for wide range of objects in the video sequences which could be implemented at miniaturized data processing *** this paper we describe a new method of search and recognition of point objects on a complex background,a new algorithm for the analysis of the found set of descriptors of local features to filter false positives filter local features,object detection criterion in the image,a new algorithm for the analysis of the trajectory of a point object on the basis of a recursive Kalman filter to predict the trajectory the movement of point objects.

关键词： Search and recognition image and pattern recognition complex background video sequence handling

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Sparse image Denoising Using Dictionary Constructed Based on Least Square Solution 2

Sparse Image Denoising Using Dictionary Constructed Based on...

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2nd IEEE International conference on Wireless Communications, Signal processing and Networking (WiSPNET)

作者： Ankarao, V. Sowmya, V. Soman, K. P. Amrita Univ Amrita Vishwa Vidyapeetham Amrita Sch Engn Ctr Computat Engn & Networking CEN Coimbatore Tamil Nadu India

ISBN: (纸本)9781509044429

Compressed sensing became a vital tool for image or signal reconstruction with less number of samples compared with the Nyquist rate. Among the existing algorithms for reconstruction of an image using compressed sensing, orthogonal matching pursuit algorithm is cost effective in terms of computational complexity. This algorithm provides a solution for overdetermined and underdetermined systems by minimizing the error functions using least square. This work concentrates on the construction of dictionary which can be used to solve the sparsity based image denoising problem. In this paper, we constructed the dictionary using least square solution subjected to thresholding conditions such as hard, soft and semi-soft. Orthogonal matching pursuit (OMP) algorithm avoids the selection of the same atom in every iteration, due to the existence of orthogonal property between the residue and the atom selected from the dictionary. Thus, OMP algorithm results in precise image reconstruction. The proposed method is validated on four standard test images, such as Lena, Boat, Barbara and Cameraman with different noises such as salt & pepper noise, Gaussian noise and speckle noise with varying the percentage of noise level from 5% to 40%. Obtained results are evaluated by the quality metric peak-to-signal-noise ratio (PSNR) and compared with the existing wavelet based sparse image denoising. The experimental evaluation shows that the proposed method is better applicable to remove the speckle noise and salt & pepper noise when compared with the existing wavelet based sparse image denoising.

关键词： Compressed sensing image denoising matching pursuit algorithm least squares

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An Autonomous, Target-Detecting, Fixed-Wing UAS for Simulated Search-and-Rescue Missions

An Autonomous, Target-Detecting, Fixed-Wing UAS for Simulate...

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IEEE International conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Chase R. Yasunaga Kalani R. Danas Rivera Joseph D. Harris Marte A. Martinez, Jr. Stephen L. J. Mau Reyn H. Mukai Kevin Y. Sonoda Wayne A. Shiroma A. Zachary Trimble College of Engineering University of Hawaii Manoa

A student-built unmanned aerial system (UAS) was developed by the University of Hawaii Drone Technologies team for the 2017 Association for Unmanned Vehicle systems International (AUVSI) Student Unmanned Aerial System (SUAS) competition, which simulates a search-and-rescue (SAR) mission. The UAS comprises a fixed-wing airframe integrated with flight control and communication components, and is capable of autonomous waypoint navigation, in-flight data transfer, aerial image capture with onboard image processing, and aerial payload delivery. The UAS is capable of executing a 30-minute SAR mission in search of a simulated lost hiker. SAR tasks include autonomously navigating to a designated area, conducting a search for alphanumeric targets over a 370,000-m~2 search area, and autonomously dropping an 8-oz care package to the lost hiker. image-processing and computer-vision algorithms can correctly sense and identify the alphanumeric targets with 75% accuracy.

关键词： Drones Aircraft Aerospace electronics Aerospace control Safety image color analysis Control systems

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Large scale visual classification with SVM, create the unique article through NLP

Large scale visual classification with SVM, create the uniqu...

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International conference on Advances in ICT for Emerging Regions

作者： M.A.N. Madushani Faculty of Information Technology University of Moratuwa

Lack of Proper Information around Sri Lankan Historical Places cause to give false information. If ruins scattered around same place tourists are struggling to identify them. Sometimes there are small sign boards but they don't provide enough information. In this paper we address this challenge by using user captured image or search imaged. Our approach is produced a single document about identified places. System identify the places through training dataset using SVM. System will increase the accuracy of prediction by taking GPS data and user inputs necessarily. The evaluation shows that our approach is more accurate than the existing systems.

关键词： Support vector machines Visualization Natural language processing Detectors Engines image processing Classification algorithms

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Development of a prototype chest digital tomosynthesis R/F system

Development of a prototype chest digital tomosynthesis R/F s...

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conference on Medical Imaging - Physics of Medical Imaging

作者： Choi, Sunghoon Lee, Haenghwa Lee, Donghoon Choi, Seungyeon Shin, Jungwook Jang, Woojin Seo, Chang-Woo Kim, Hee-Joung Yonsei Univ Dept Radiol Sci Coll Hlth Sci Wonju South Korea Yonsei Univ Dept Radiat Convergence Engn Coll Hlth Sci Wonju South Korea LISTEM Corp 94 Donghwagongdan Ro Wonju South Korea

ISBN: (数字)9781510607101

ISBN: (纸本)9781510607095;9781510607101

Digital tomosynthesis has an advantage of low radiation dose compared to conventional computed tomography (CT) by utilizing small number of projections (similar to 80) acquired over a limited angular range. It can produce 3D volumetric data although they may have some artifacts due to incomplete sampling. Based upon these attractive merits, we developed a prototype digital tomosynthesis R/F system especially for the purpose of applications in chest imaging. Prototype chest digital tomosynthesis (CDT) R/F system contains an X-ray tube with high power R/F pulse generator, flat-panel detector, R/F table, electromechanical radiographic subsystems including precise motor controller, and a reconstruction server. For image reconstruction, users could select the reconstruction option between analytic and iterative methods. Reconstructed images of Catphan700 and LUNGMAN phantoms clearly and rapidly described the internal structures of the phantoms using graphics processing unit (GPU) programming. Contrast-to-noise ratio (CNR) values of the CTP682 module was higher in images using the simultaneous algebraic reconstruction technique (SART) than those using filtered back-projection (FBP) for all materials by factors of 2.60, 3.78, 5.50, 2.30, 3.70, and 2.52 for air, lung foam, low density polyethylene (LDPE), Delrin (R) (acetal homopolymer resin), bone 50% (hydroxyapatite), and Teflon, respectively. Total elapsed times for producing 3D volume were 2.92 sec and 86.29 sec on average for FBP and SART (20 iterations), respectively. The times required for reconstruction were clinically feasible. Moreover, the total radiation dose from the system (5.68 mGy) could demonstrate a significant lowered radiation dose compared to conventional chest CT scan. Consequently, our prototype tomosynthesis R/F system represents an important advance in digital tomosynthesis applications.

关键词： Prototyping Chest X-rays Reconstruction algorithms Lung Sensors X-ray detectors Bone Foam Computed tomography Chest imaging Control systems image filtering Imaging systems

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