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检索条件"任意字段=2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017"

共 891 条记录，以下是341-350 订阅

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Pseudocoloring of Ultrasound images 25

Pseudocoloring of Ultrasound Images

引用

25th signal processing and Communications Applications conference (SIU)

作者： Konyarl, M. Zeki Erturk, Sarp Kocaeli Univ Bilisim Sistemleri Muhendisligi Bolumu Izmit Turkey Kocaeli Univ Elekt & Haberlesme Muhendisligi Bolumu Izmit Turkey

ISBN: (纸本)9781509064946

Human visual system detects details in coloured images better. Sometimes interpretation of details in gray scale ultrasound images becomes harder. So in this work pseudocoloring of ultrasound images using empirical mode decomposition (EMD) is proposed. EMD doesn't use base function so it has more advantages than Fourier and wavelet transforms. The proposed method pseudocolored image by assigning two dimensional images to red, green and blue color channels. The images obtained by the proposed method are more preferred when compared with the results in the literature.

关键词： empirical mode decomposition pseudocolor ultrasound image

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Hue-Based Segmentation of Color images Using Weighted Directional Clustering Algorithms 25

Hue-Based Segmentation of Color Images Using Weighted Direct...

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25th signal processing and Communications Applications conference (SIU)

作者： Kesemen, Orhan Ozkul, Eda Tezel, Ozge Tiryaki, Bugra Kaan Vefaeinahr, Soheila Karadeniz Tech Univ Istat & Bilgisayar Bilimleri Bolumu TR-61080 Trabzon Turkey Avrasya Univ Bilgisayar Muhendisligi Bolumu TR-61080 Trabzon Turkey

ISBN: (纸本)9781509064946

image segmentation is one of the pre-processing steps required to analyze color images. image segmentation in RGB space, which is performed by using clustering algorithm, is required long computation time even in small images. Another approach that can he used for image segmentation is the histogram-based approach. However, histogram-based approaches can also be applied to single-channel or gray-scale images. Therefore, a hue-based approach is considered for segmentation in a color image. However, since the hue shows an angular change, it is not possible to use number line based operations. In this study, directional based clustering algorithms are used to solve this problem. The performance of directional based algorithms was measured and compared.

关键词： image segmentation hue-based segmentation directional data clustering algorithms

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Hardware/software co-design of dataflow programs for reconfigurable hardware and multi-core platforms

Hardware/software co-design of dataflow programs for reconfi...

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conference on design and architectures for signal and image processing

作者： Ghislain Roquier Endri Bezati Richard Thavot Marco Mattavelli Ecole Polytechnique Fédérale de Lausanne Lausanne Switzerland

The possibility of specifying both software and hardware components from a unified high-level description of an application is a very attractive design approach. However, despite the efforts spent for implementing such an approach using general purpose programming languages, it has not yet shown to be viable and efficient for complex designs. One of the reasons is that the sequential programming model does not naturally provide explicit and scalable parallelism and composability properties that effectively permits to build portable applications that can be efficiently mapped on different kind of heterogeneous platforms. Conversely dataflow programming is an approach that naturally provides explicit parallel programs with composability properties. This paper presents a methodology for the hardware/software co-design that enables, by direct synthesis of both hardware descriptions (HDL), software components (C/C++) and mutual interfaces, to generate an implementation of the application from an unique dataflow program, running onto heterogeneous architectures composed by reconfigurable hardware and multi-core processors. Experimental results based on the implementation of a JPEG codec onto an heterogeneous platform are also provided to show the capabilities and flexibility of the implementation approach.

关键词： Hardware Software Field programmable gate arrays Programming Multicore processing Hardware design languages

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Real-time moving object detection for video surveillance system in FPGA

Real-time moving object detection for video surveillance sys...

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conference on design and architectures for signal and image processing

作者： Tomasz Kryjak Mateusz Komorkiewicz Marek Gorgon Faculty of Electrical Engineering Automatics Computer Science and Electronics Department of Automatics AGH University of Science and Technology Krakow Poland

FPGA devices are a perfect platform for implementing image processing algorithms. In the article, an advanced video system is presented, which is able to detect moving objects in video sequences. The detection method is using two algorithms. First of all, a multimodal background generation method allows reliable scene modelling in case of rapid changes in lighting conditions and small background movement. Finally a segmentation based on three parameters lightness, colour and texture is applied. This approach allows to remove shadows from the processed image. Authors proposed some improvements and modifications to existing algorithms in order to make them suitable for reconfigurable platforms. In the final system only one, low cost, FPGA device is able to receive data from high speed digital camera, perform a Bayer transform, RGB to CIE Lab colour space conversion, generate a moving object mask and present results to the operator in real-time.

关键词： image color analysis Field programmable gate arrays Mathematical model Cameras Computational modeling Hardware Streaming media

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ELM-based hyperspectral imagery processor for onboard real-time classification

ELM-based hyperspectral imagery processor for onboard real-t...

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conference on design and architectures for signal and image processing

作者： Koldo Basterretxea Unai Martinez-Corral Raúl Finker Inés del Campo Dept. Electronics Technology University of the Basque Country (UPV/EHU) Bilbao Basque Country Spain Dept. Electricity and Electronics University of the Basque Country (UPV/EHU) Leioa Basque Country Spain

ISBN: (纸本)9781509030859

Hyperspectral imagery is being widely used for accurate object detection and terrain feature classification. Modern imaging spectrometers produce huge amounts of data that are compressed onboard and downloaded to ground stations to be processed. Increasing spectral resolution and data acquisition rates demand more efficient compression techniques to meet downlink bandwidth restrictions. A different approach to reducing data-transfer bottlenecks consists of processing hyperspectral imagery information onboard. Real-time onboard processing would, at the same time, broaden the scope of missions that spacecrafts and aircrafts carrying hyperspectral cameras could fulfill by providing them with immediate decision-making capacity in critical circumstances. This paper investigates the use of Extreme Learning Machines (ELMs) for the classification of high dimensional data, and how specialized hardware and application-specific processor design can help to produce high performance, lightweight, and reduced power consumption systems for onboard hyperspectral imagery processing.

关键词： Hyperspectral imaging Training image classification Field programmable gate arrays Real-time systems Neurons

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A flexible implementation of a Global Navigation Satellite System (GNSS) receiver for on-board satellite navigation

A flexible implementation of a Global Navigation Satellite S...

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conference on design and architectures for signal and image processing

作者： A. Dion E. Boutillon V. Calmettes E. Liegon ISAE DEOS TESA Universite de Toulouse UPS Toulouse France Lab-STICC CNRS Universite Europeenne de Bretagne Lorient France Thales Alenia Space Toulouse France

In this paper, we present the implementation of the acquisition algorithm of a versatile Global Navigation Satellite System (GNSS) receiver for satellite applications. For versatility purpose, the choice of the receiver algorithms has been motivated by 1) their capability to fulfill the application requirements with a moderate complexity, 2) their capability of being factorized in a small set of elementary modules that can be configured and combined in various ways in order to process both GPS and Galileo current and future signals. These algorithms have been specified using SystemC, a modeling language that can be common to hardware and software flow. The use of a virtual platform for simulation allows us to identify bottleneck of the architecture and to propose algorithm modification to solve them.

关键词： Algorithm design and analysis Global Positioning System Receivers Computer architecture Satellites Global Navigation Satellite Systems Software algorithms

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Encrypted Waveform design for Low-Probability of Intercept Radar

Encrypted Waveform Design for Low-Probability of Intercept R...

引用

9th International conference on signal and image processing (ICSIP)

作者： Zhu, Peijie Qiu, Hui Meng, Weiji Yu, Xianxiang Cui, Guolong Zhu, Jinghui Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Peoples R China Acad Broadcasting Sci NRTA Beijing Peoples R China

ISBN: (纸本)9798350350920

In this paper, a novel encrypted waveform employing pseudo-random binary phase sequence (PRBPS) is introduced, which effectively disguises a regular waveform by presenting it with chaotic parameters. Besides, a processing method corresponding to the encrypted waveform is proposed to ensure the detection performance, where a special decryption method based on local detection is suggested and contributes to minimizing the degradation of signal-to-noise ratio (SNR) in extended target detection. Finally, numerical simulations highlight that the encrypted waveform can outperform some conventional waveforms in terms of low intercept and achieving reliable detection in the presence of extended targets. Meanwhile, the semiphysical experiment result is also shown to verify the engineering realizability of the proposed design.

关键词： LPI waveform waveform encryption waveform decryption local detection

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Efficient FDWT/IDWT Hardware Implementation with Line-based and Dual-scan image Memory Accesses

Efficient FDWT/IDWT Hardware Implementation with Line-based ...

引用

IEEE Region 10 conference (TENCON)

作者： Saad, Laila Ahmed Salleh, Mohd Fadzli Mohd Univ Sains Malaysia Sch Elect & Elect Engn Nibong Tebal 14300 Pulau Pinang Malaysia

ISBN: (纸本)9781509011346

image compression is of a great importance in multimedia system applications because it drastically reduces bandwidth for transmission and memory storage. image compression algorithm, like JPEG2000, utilizes the Forward Discrete Wavelet Transform (FDWT) and Inverse Discrete Wavelet Transform (IDWT). The main problems face by researchers in the hardware implementation of the FDWT/IDWT are storage memory, internal processing buffer and the limitation of the FPGA resources. Memory access method significantly affects the design architecture of FDWT/IDWT. The off-chip memory access consumes more power while the on-chip memory increases the hardware cost. In this paper, we propose an FDWT/IDWT architecture that is based on the line-based and dual-scan methods. Both architectures reduce the number of image memory accesses. The line-based architecture reduces the internal buffer by 2 x 0.5 x N where N is the dimension of image size. The implemented dual-scan architecture does not use any the internal memory. Both architectures were implemented on the Altera Cyclone II EP2C70F672C6 FPGA board and ran at frequency of 100 MHz.

关键词： Haar Wavelet Transform Filter Banks 2-D FDWT/IDWT Multilevel decomposition FPGA

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Ground Moving Target Positioning with Doppler Ambiguity and Scene Ambiguity in SAR 40

Ground Moving Target Positioning with Doppler Ambiguity and ...

引用

40th International conference on Telecommunications and signal processing (TSP)

作者： Liu, Qiongxiao Wang, Zhirui Xia, Wei Chen, Bing China Ship Dev & Design Ctr Wuhan 430064 Hubei Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)9781509039821

A synthetic aperture radar (SAR) image is often obtained based on a part of intercepted echo from the collected raw data in the azimuth direction. It is discovered that the azimuth length of a SAR image has an effect on the target position in the image domain. For a SAR image with a large azimuth length, the azimuth shift is the distance between the original position and the final position of a moving target in the image domain, which is proportional to the target's ambiguous range velocity and is directly influenced by the Doppler ambiguity. However, for a SAR image with a limited azimuth length, the target position after azimuth shift may be beyond the boundary of the image and its final position is wrapped, which is called the scene ambiguity in this paper. When the Doppler ambiguity and the scene ambiguity both occur to one moving target, the positioning is complicated. To solve this problem, the relationship between the target's original position and final position is addressed in detail in a SAR image with any azimuth size. Then, a general positioning solution is proposed. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method.

关键词： Doppler ambiguity ground moving target scene ambiguity synthetic aperture radar (SAR) target positioning

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A Comparative Analysis of Visual and Thermal Face image Fusion based on Different Wavelet Family 3

A Comparative Analysis of Visual and Thermal Face Image Fusi...

引用

International conference on Innovations in Electronics, signal processing and Communication (IESC)

作者： Pal, Anamika Rudra Singha, Anu Tripura Univ Dept Comp Sci & Engn Agartala India

ISBN: (纸本)9781509056200

To diminish the limitations of the visual and thermal face images, a fusion of them is carried out in order to upgrade the performance. This paper presents fusion based on maximum selection of DB4 wavelet coefficients of visual and thermal images. The dimensions of these fused images are reduced using ICA and these low dimension fused images are classified with the help of SVM. The experimental result of fusion gives approximately 2% and 6% more accuracy than the visual and thermal images respectively for both expression and illumination of IRIS datasets. Further this work is extended with a comparative study of fusion methods based on some other wavelet decompositions such as Haar/DB2, Coiflets, and Symlets. In addition to that, a comparison between two ICA architectures and PCA is also carried out over wavelet fusion methods. It has been noticed that maximum information, classification accuracy, and less error acheieved for haar/db2 fused images.

关键词： DWT ICA PCA Information Measurement Fusion

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