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

共 12901 条记录，以下是4931-4940 订阅

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An application of the supervoxel-based Fuzzy C-Means with a GPU support to segmentation of volumetric brain images

An application of the supervoxel-based Fuzzy C-Means with a ...

引用

Federated conference on Computer Science and Information systems (FedCSIS)

作者： Anna Fabijańska Jarosław Gocławski Lodz University of Technology Institute of Applied Computer Science Lodz Poland

In this paper the problem of segmentation of volumetric medical images is considered. The fast and effective segmentation is obtained by applying the proposed approach which combines the idea of supervoxels and the Fuzzy C-Means algorithm. In particular, Fuzzy C-Means is used to cluster supervoxels produced by the fast 3D region growing. Additional acceleration of the method is achieved with the support of graphical processor (GPU). The detailed description of the proposed approach is given. The results of applying the method to volumetric CT and MRI brain images and CT images of various phantoms are presented, analysed and discussed. The issues related to accuracy of the method, memory workload and the running time are also considered.

关键词： Graphics processing units image segmentation Computed tomography Magnetic resonance imaging Kernel Brain Clustering algorithms

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UFO — a scalable platform for high-speed synchrotron X-ray imaging

UFO — a scalable platform for high-speed synchrotron X-ray ...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Andreas Kopmann Suren Chilingaryan Matthias Vogelgesang Timo Dritschler Andrey Shkarin Roman Shkarin Tomy dos Santos Rolo Tomas Farago Thomas van de Kamp Matthias Balzer Michele Caselle Marc Weber Tilo Baumbach Karlsruhe Institute of Technology Germany

New imaging stations aim for high spatial and temporal resolution and are characterized by ever increasing sampling rates and demanding data processing workflows. Key to successful imaging experiments is to open up high-performance computing resources. This includes carefully selected components for computing hardware and development of advanced imaging algorithms optimized for efficient use of parallel processor architectures. We present the novel UFO computing platform for online data processing for imaging experiments and image-based feedback. The platform handles the full data life cycle from the X-ray detector to long-term data archives. Core components of this system are an FPGA platform for ultra-fast data acquisition, the GPU-based UFO image processing framework, and the fast control system “Concert”. Reconstruction algorithms implemented in the UFO framework are optimized for the latest GPU architectures and provide a reconstruction throughput in the GB/s-range. The control system “Concert” integrates high-speed computing nodes and fast beamline devices and thus enables image-based control loops and advanced workflow automation for efficient beam time usage. Low latencies are ensured by direct communication between FPGA and GPUs using AMDs DirectGMA technology. Time resolved tomography is supported by cutting edge regularization methods for high quality reconstructions with a reduced number of projections. The new infrastructure at ANKA has dramatically accelerated tomography from hours to second and resulted in new application fields, like high-throughput tomography, pump-probe radiography and stroboscopic tomography. Ultra-fast X-ray cine-tomography for the first time allows one to observe internal dynamics of moving millimeter-sized objects in real-time.

关键词： Cameras Tomography image reconstruction Control systems Graphics processing units Computer architecture

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A Novel Online Dictionary Learning Method from Compressed Signals

A Novel Online Dictionary Learning Method from Compressed Si...

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International conference on Intelligent Human-Machine systems and Cybernetics, IHMSC

作者： Donghao Wang Junying Chen Qiang Zhang Jiangwen Wan School of Instrumentation Science and Opto-Electronics Engineering Beihang University Beijing China

ISBN: (纸本)9781509007691

Dictionary learning algorithm facilitates a sparse representation of a given set of training signals, which has significant impact on signal reconstruction error in compressive sensing. To reduce the recovery error caused by environmental noise, in this paper, a novel structured dictionary learning method for sparse signal representation is presented. The training signals are collected from compressive data gathering methods. And the self-coherence of the dictionary is punished. In comparison with the DCT basis and the K-SVD method, experimental results verify that the proposed dictionary is more effective to alleviate the recovery error caused by environmental noise.

关键词： Dictionaries Discrete cosine transforms Sparse matrices Compressed sensing Training Signal processing algorithms image coding

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Novel algorithm for embedding audio watermark in images

Novel algorithm for embedding audio watermark in images

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International conference on Computing for Sustainable Global Development (INDIACom)

作者： Ratnababu Mamidi Govind Dadhich Eisenhower D'souza Febin George Stephen Poojari S Sujana Chowdary EXTC SJCET Palgar India ECE VEC Hyderabad India

ISBN: (纸本)9781467394178

Evolution cause the increase in use of Digital systems and Multimedia which increased the demand for safety of digital multimedia. Thus, there is need of watermarking. Watermark gives the mechanism to determine if a particular digital media has been copied or not. Here In this paper we present an algorithm for embedding an audio in image based on wavelet transform.

关键词： Watermarking Discrete wavelet transforms conferences Signal processing algorithms Electronic mail

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Analyzing images in frequency domain to estimate the quality of wood particles in OSB production

Analyzing images in frequency domain to estimate the quality...

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IEEE International conference on Computational Intelligence and Virtual Environments for Measurement systems and Applications

作者： Ruggero Donida Labati Angelo Genovese Enrique Muñoz Vincenzo Piuri Fabio Scotti Gianluca Sforza Department of Computer Science Università degli Studi di Milano Italy

The analysis of the quality of particulate materials is of great importance for a variety of research and industrial applications. Most image-based methods rely on the segmentation of the image to measure the particles and aggregate their characteristics. However, the segmentation of particulate materials can be severely affected when the setup is not controlled. For instance, when there are device errors, changes in the light conditions, or when the camera gets dirty because of the dust or a similar substance. All of these circumstances are common in industrial setups, like the one studied in this paper. This work presents a framework for quality estimation based on image processing algorithms that avoids segmentation. The considered application scenario is the online quality control of the production of Oriented Strand Boards (OSB), a type of wood panel frequently used in construction and manufacturing industries. The proposed method quantizes frequency domain into a histogram using a non-parametric method, which is later exploited using computational intelligence to classify the quality of superimposed wood particles deposed on a conveyor belt. The method has been tested using synthetic and real images with different noise conditions. The results illustrate the robustness of the approach and its capability to detect significant quality changes in the wood particles.

关键词： Histograms image segmentation Frequency-domain analysis Fourier transforms Belts Robustness

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Electrical capacitance tomography digital processing platform (ECT-DPU)

Electrical capacitance tomography digital processing platfor...

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Annual conference of Industrial Electronics Society

作者： Atef K. Allam Wael A. Deabes Computer Science Department Taibah University Medina KSA Electrical Eng. Dept. Assiut University Egypt Computer Science Department Umm Al-Qura University KSA Computer and System Dept. Mansoura University Egypt

A reconfigurable computing architecture based on Field Programmable Gate Array (FPGA) technology is implemented for the Electrical Capacitance Tomography (ECT) system. The ECT system is used to image the multi-phase flow when gas/liquid or solid/liquid phases occurs. In the ECT systems, an exhaustive computational image reconstruction algorithm has to vastly processed large amount of data. The software algorithms and hardware parameters are adjusted based on a Hardware-software codesign process using commercially available tools. The hardware system consists of capacitive sensors, wireless nodes and FPGA module. Rr4wesults show that implementing the ECT image reconstruction algorithm on the FPGA platform achives fast performance and small design density.

关键词： Field programmable gate arrays Hardware image reconstruction Capacitance measurement Program processors Capacitance

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Optimized GPU implementation for dynamic programming in image data processing

Optimized GPU implementation for dynamic programming in imag...

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IEEE International conference on Performance, Computing and Communications (IPCCC)

作者： Jing Ke Tomasz Bednarz Arcot Sowmya DATA 61 CSIRO University of New South Wales Sydney Australia DATA 61 CSIRO Sydney Australia School of Computer Science and Engineering University of New South Wales Sydney Australia

ISBN: (纸本)9781509052530

It is a trend now that computing power through parallelism is provided by multi-core systems or heterogeneous architectures for High Performance Computing (HPC) and scientific computing. Although many algorithms have been proposed and implemented using sequential computing, alternative parallel solutions provide more suitable and high performance solutions to the same problems. In this paper, three parallelization strategies are proposed and implemented for a dynamic programming based cloud smoothing application, using both shared memory and non-shared memory approaches. The experiments are performed on NVIDIA GeForce GT750m and Tesla K20m, two GPU accelerators of Kepler architecture. Detailed performance analysis is presented on partition granularity at block and thread levels, memory access efficiency and computational complexity. The evaluations described show high approximation of results with high efficiency in the parallel implementations, and these strategies can be adopted in similar data analysis and processing applications.

关键词： Instruction sets Dynamic programming Heuristic algorithms Smoothing methods Graphics processing units Memory management

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A resource-efficient approach to steganography in mobile systems

A resource-efficient approach to steganography in mobile sys...

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International Wireless Communications and Mobile Computing conference, IWCMC

作者： Prabhat Dahal Dongming Peng Yaoqing Yang Hamid Sharif Department of Electrical and Computer Engineering University of Nebraska-Lincoln USA

ISBN: (纸本)9781509003051

With rapid development in mobile devices with high quality image and video processing capabilities, it is desirable or necessary to implement steganography technology within such devices in some applications such as source authentication. In this paper, we propose a method of implementing information hiding within a video with less processing time and memory requirement. The message to be secretly communicated is hidden in the video by modifying blocks of Discrete Wavelet Transform coefficients of feature regions. We choose corners as specific features. The localizable capability of both corner detection algorithm and the Discrete Wavelet Transform makes it possible for the entire embedding method to be localized. This makes the entire process of steganography computationally faster and memory efficient. Our simulations show that the proposed method has a processing time that is up to 2.6 times more efficient, in average, than other traditional methods without incurring memory overhead.

关键词： Discrete wavelet transforms Feature extraction Mobile handsets Watermarking Discrete cosine transforms Signal processing algorithms Mobile communication

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AprilTag 2: Efficient and robust fiducial detection

AprilTag 2: Efficient and robust fiducial detection

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IEEE/RSJ International conference on Intelligent Robots and systems

作者： John Wang Edwin Olson Computer Science and Engineering Department at the University of Michigan in Ann Arbor USA

ISBN: (纸本)9781509037636

AprilTags and other passive fiducial markers require specialized algorithms to detect markers among other features in a natural scene. The vision processing steps generally dominate the computation time of a tag detection pipeline, so even small improvements in marker detection can translate to a faster tag detection system. We incorporated lessons learned from implementing and supporting the AprilTag system into this improved system. This work describes AprilTag 2, a completely redesigned tag detector that improves robustness and efficiency compared to the original AprilTag system. The tag coding scheme is unchanged, retaining the same robustness to false positives inherent to the coding system. The new detector improves performance with higher detection rates, fewer false positives, and lower computational time. Improved performance on small images allows the use of decimated input images, resulting in dramatic gains in detection speed.

关键词： Detectors image edge detection image segmentation Robustness Robots Decoding Visualization

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A survey on texture synthesis and its approaches

A survey on texture synthesis and its approaches

引用

International conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE)

作者： S. Ramya N.V. Shibu P. Malathi Computer Science and Engineering Sri Ramakrishna Institute of Technology Coimbatore India Bharathiyar Institute of Engineering For Womens Salem India

ISBN: (纸本)9781467384384

Texture synthesis is a fast growing technique in image processing, and has been widely used in real time processes. During this process a texture is taken as sample input and various methods and techniques are applied to synthesis that texture to produce a large synthesized texture with user defined size and similar texture characteristics. Methods and techniques used are tiling and synthesis based on patches, pixels and exemplar. Quality of the synthesized texture and synthesis time is one of the major concerns during the process. A survey is taken on various techniques used to improve the quality and synthesis time of the texture.

关键词： Real-time systems Algorithm design and analysis Support vector machines image color analysis Genetic algorithms Computer science Mobile communication

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