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检索条件"任意字段=2016 Conference on Design and Architectures for Signal and Image Processing, DASIP 2016"

共 951 条记录，以下是711-720 订阅

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Segmentation of cyctoids macular edema in optical cohenrence tomography

Segmentation of cyctoids macular edema in optical cohenrence...

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International conference on Advanced Technologies for signal and image processing (ATSIP)

作者： Hedi Trabelsi Imen Zghal Nesrine Slokom University of Tunis El Manar R.L. of Biophysics and Medical Technologies Tunis Tunisia Institute Hedi Raies of Ophthalmology Tunis Tunisia

ISBN: (纸本)9781467385275

Optical coherence tomography (OCT) using near infrared light is becoming one of the most important modalities for noninvasive assessment of ocular diseases. In many cases, processing OCT image is important for local retinal abnormalities detection. In this paper, we propose a method to identify and quantify cystoids macular edema regions in Spectral Domain OCT (SD-OCT) of the macula. A segmentation algorithm for SD-OCT was developed to detect cystoids within retina. Once the cystoids' borders are detected, a quantitative analysis of liquid in cystoids regions is performed to obtain surface area of fluid in the image. The performance of the proposed segmentation process for the cystoids macular edema was evaluated both qualitatively and quantitatively. Results showed a good agreement between quantitative evaluation and qualitative evaluation done by an ophthalmologist and proved that the process give an acceptable and accurate description of the cystoids regions.

关键词： Retina image segmentation Liquids Manuals Sensitivity Algorithm design and analysis

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Smart traveler guide: A model for guiding traveler with image matching algorithm

Smart traveler guide: A model for guiding traveler with imag...

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International conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： J. Sindhu Sri N.V. Sri Sravani P. Suresh Kumar Computer Science and Engineering Kakatiya Institute of Technology and Science Warangal India

ISBN: (纸本)9781467393393

In today's life travelling has become a passion. But travelling is not so easy unless we know the place and its details. When we visit a new place in order to know the details of that place, we usually take help of native people at times there might arise a situation where we cannot communicate with them. In other ways we browse about the place this approach may also lead to confusion and does not solve the problem. When a traveler takes a snapshot and gives it has input to the application then it compares the input with the existing images in database and it selects the most accurate image and thereby gives the information related to the image. Therefore the traveler feels comfortable in knowing about the place.

关键词： image matching Databases Algorithm design and analysis Feature extraction History image color analysis conferences

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Feasibility of mapping a pulsed RADAR system to FPGA-ASIC and hybrid architectures

Feasibility of mapping a pulsed RADAR system to FPGA-ASIC an...

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IEEE International conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech)

作者： Mohammed A. Aseeri National Centre for Sensors and Defense Systems Technologies (NCSDST) King Abdulaziz City for Science and Technology Riyadh Saudi Arabia

ISBN: (纸本)9781509007073

Current trends in front end radar processing have dynamically evolved with the rapid development and integration of Field Programmable Gate Array (FPGA) technologies meriting high speed digital data processing (DSP) capabilities. The meritocracy of FPGAs depends on Fast real time Impulse Response (FIR) filtering algorithms and applications added in the rapid adoption and integration of FPGAs for Radio Detection and Ranging (RADAR) signal processing. The state of FPGA technologies underpin the migration from Large Scale Integration (VLSI) chips in radar signal processing to the reconfigurable technologies. Various FPGA devices and underlying technologies were investigated in this paper with a specialized bias on the ability to implement them on the underlying hardware with a broad base for flexibility and reconfiguration. The results show that parallel signal processing provides better signal processing compared with serial processing because of the flexibility in linear-systolic design placements, use of shift registers and real time memory retrieval capabilities, and use of two banks of coefficients to avoid using constant coefficients. However, there is need for further research on how to design chips with higher processing powers that can accommodate new versions of hardware and software.

关键词： Field programmable gate arrays Radar Routing Radar antennas Integrated circuit interconnections Logic gates Radar signal processing

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Measurement matrix design for compressed sensing based time delay estimation

Measurement matrix design for compressed sensing based time ...

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European signal processing conference (EUSIPCO)

作者： Florian Roemer Mohamed Ibrahim Norbert Franke Niels Hadaschik Andreas Eidloth Benjamin Sackenreuter Giovanni Del Galdo Praunhofer Institute for Integrated Circuits IIS Ilmenau Germany Technische Universität Ilmenau Institute for Information Technology

In this paper we study the problem of estimating the unknown delay(s) in a system where we receive a linear combination of several delayed copies of a known transmitted waveform. This problem arises in many applications such as timing-based localization or wireless synchronization. Since accurate delay estimation requires wideband signals, traditional systems need high-speed AD converters which poses a significant burden on the hardware implementation. Compressive sensing (CS) based system architectures that take measurements at rates significantly below the Nyquist rate and yet achieve accurate delay estimation have been proposed with the goal to alleviate the hardware complexity. In this paper, we particularly discuss the design of the measurement kernels based on a frequency-domain representation and show numerically that an optimized choice can outperform randomly chosen functionals in terms of the delay estimation accuracy.

关键词： Receivers Kernel Estimation Synchronization Delay estimation Correlation

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A fast multi-focus image fusion algorithm by DWT and focused region decision map

A fast multi-focus image fusion algorithm by DWT and focused...

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Asia-Pacific signal and Information processing Association Annual Summit and conference (APSIPA)

作者： Shumin Liu Jiajia Chen Singapore University of Technology and Design Singapore

ISBN: (纸本)9781509024018

To comprise the advantages of both the spatial domain and transform domain methods, this paper presents a novel hybrid algorithm for multi-focus images fusion, which reduces the error rate of sub-band coefficients selection in the transform domain and reduce the artificial discontinuities created in the spatial domain algorithms. In this method, wavelet transforms are firstly performed on each input image, and a focused region decision map is established based on the high-frequency sub-bands extraction. The fusion rules are then guided by this map, and the fused coefficients are transformed back to form the fused image. Experimental results demonstrate that the proposed method is better than various existing methods, in term of fusion quality benchmarks. In addition, the proposed algorithm has a complexity proportional to the total number of pixels in the image, which is lower than some other algorithm which may produce similar fusion quality with the proposed algorithm. Furthermore, the proposed algorithm only requires one level wavelet decomposition, again reducing the processing time. With the proposed method, high quality and fast multi-focus image fusion is made possible.

关键词： Discrete wavelet transforms image fusion Redundancy Filtering algorithms Algorithm design and analysis

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Denoising uterine EMG signals using LMS and RLS adaptive algorithms

Denoising uterine EMG signals using LMS and RLS adaptive alg...

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International conference on Advanced Technologies for signal and image processing (ATSIP)

作者： Manel Limem Mohamed Ali Hamdi Mhamed Ali Maaref Department of Physics and Instrumentation National Institute of Applied Sciences and Technology (INSAT) Tunis Tunisia

ISBN: (纸本)9781467385275

Uterine Electromyography (EMG) signal is often contaminated by electronic and electromagnetic noises and by the remaining electrocardiogram of the mother. Therefore, an efficient noise cancellation is essential for a better clinical evaluation. In recent literatures, several techniques have been adopted to reject noises from EMG recordings. In this paper, Least Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms are proposed to denoise uterine EMG signals. Simulations were performed in MATLAB Simulink environment. The obtained results are then compared with wavelet transform and 0.34-1 HZ band-pass filter using signal to noise ratio measures. Results show that RLS based algorithm performs the best among the other tested algorithms.

关键词： Adaptive filters Electromyography Band-pass filters Filtering algorithms signal processing algorithms Adaptive algorithms Algorithm design and analysis

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design of a lifting based discrete wavelet transform using flipping method for images

Design of a lifting based discrete wavelet transform using f...

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conference on Advances in signal processing (CASP)

作者： Shalini Ramchandani Prachi Palsodkar Dept. Electronics and Telecommunication Yeshwantrao Chavan College of Engineering Nagpur India

ISBN: (纸本)9781509008506

In this paper, an efficient lifting based discrete wavelet transform (DWT) architecture using flipping scheme is presented. The proposed design consists of simplified control path with efficient hardware structure. The architecture is designed for images with size of 256×256. A co-simulation methodology is followed, image reading and writing is done by MATLAB while analysis and processing is done in *** serial computation method of lifting scheme is optimized by pre calculating the data associated with independent data path and is further minimized by using flipping method. The critical path delay is reduced to the delay equal to one multiplier delay Tm.

关键词： Discrete wavelet transforms Delays Computer architecture Hardware Mathematical model

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Superimpose signal processing method for micro-scale thermal imaging of solar salts at high temperature 38

Superimpose signal processing method for micro-scale thermal...

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conference on Thermosense - Thermal Infrared Applications XXXVIII

作者： Morikawa, Junko Zamengo, Massimiliano Kato, Yukitaka Tokyo Inst Technol Sch Mat & Chem Technol Dept Mat Sci & Engn Meguro Ku 2-12-1S8-29 Tokyo 1528550 Japan Tokyo Inst Technol LANE Meguro Ku 2-12-1N1-22 Tokyo 1528550 Japan

ISBN: (纸本)9781510601024

The global interest in energy applications activates the advanced study about the molten salts in the usage of fluids in the power cycle, such as for transport and heat storage in solar power facilities. However, the basic properties of molten salts show a general scattering in characterization especially in thermal properties. It is suggested that new studies are required on the measurement of thermal properties of solar salts using recent technologies. In this study, micro-scale heat transfer and phase change in molten salts are presented using our originally developed device: the micro-bolometer Infrared focal plane arrays (IR FPA) measuring system is a portable type instrument, which is re-designed to measure the thermal phenomena in high temperature up to 700 degrees C or higher. The superimpose system is newly setup adjusted to the signal processing in high temperature to realize the quantitative thermal imaging, simultaneously. The portable type apparatus for a quantitative micro-scale thermography using a micro-bolometer has been proposed based on an achromatic lens design to capture a micro-scale image in the long-wave infrared, a video signal superimposing for the real time emissivity correction, and a pseudo acceleration of a timeframe. Combined with the superimpose technique, the micro-scale thermal imaging in high temperature is achieved and the molten flows of the solar salts, sodium nitrate, and potassium nitrate are successfully observed. The solar salt, the mixture of sodium nitrate and potassium nitrate, shows a different shape of exothermic heat front morphology in the lower phase transition (solidification) temperature than the nitrates on cooling. The proposed measuring technique will be utilized to accelerate the screening step to determine the phase diagram and the eutectics of the multiple mixtures of candidate molten salts, which may be used as heat transport medium from the concentrated solar power to a processing plant for thermal energy s

关键词： micro-scale thermography superimpose method high-temperature solar salt phase change micro-bolometer portable instruments sodium nitrate potassium nitrate eutectic compounds heat transport medium thermal energy storage

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GBST: SEPARABLE TRANSFORMS BASED ON LINE GRAPHS FOR PREDICTIVE VIDEO CODING

GBST: SEPARABLE TRANSFORMS BASED ON LINE GRAPHS FOR PREDICTI...

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IEEE International conference on image processing

作者： Hilmi E. Egilmez Yung-Hsuan Chao Antonio Ortega Bumshik Lee Sehoon Yea Signal & Image Processing Institute University of Southern California LG Electronics

ISBN: (纸本)9781467399623

This paper introduces a novel class of transforms, called graph-based separable transforms (GBSTs), based on two line graphs with optimized weights. For the optimal GBST construction, we formulate a graph learning problem to design two separate line graphs using row-wise and column-wise residual block statistics, respectively. We also analyze the optimality of resulting separable transforms for both intra and inter predicted residual block models. Moreover, we show that separable DCT and ADST (DST-7) are special cases of the GBSTs. Our experimental results demonstrate that the proposed optimized transforms outperform 2-D DCT/ADST and separable KLT.

关键词： Transform coding Graph-based transforms Video coding Video compression signal processing on graphs Line graph transform coding Video compression Video coding separable transform Transform Videotapes LINE

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DIMENSIONALITY REDUCTION OF BRAIN IMAGING DATA USING GRAPH signal processing

DIMENSIONALITY REDUCTION OF BRAIN IMAGING DATA USING GRAPH S...

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IEEE International conference on image processing

作者： Liu Rui Hossein Nejati Ngai-Man Cheung Singapore University of Technology and Design (SUTD)

ISBN: (纸本)9781467399623

Brain imaging data such as EEG or MEG is high-dimensional spatiotemporal measurements that commonly require dimensionality reduction before being used for further analysis or applications. This paper presents a new dimensionality reduction method based on the recent graph signal processing theory. Specifically, we focus on a task to classify the brain imaging signals recording the cortical activities in response to visual stimuli. We propose to use the resting-state measurements (i.e., before onset of the stimulus) of the subjects to build a connectivity graph. The graph Laplacian and Graph-Based Filtering (GBF) are then applied to learn the low-dimensional linear subspace for the task-state measurements (i.e., after onset of the stimulus). We investigate different techniques to build the connectivity graph suitable for this application. Compared with other dimensionality reduction methods such as Principle Component Analysis (PCA), GBF-based dimensionality reduction leverages the connectivity graph as side information to analyze the degraded, non-Gaussian noise corrupted measurements. Experimental results with synthetic and real MEG datasets are presented.

关键词： Brain imaging Dimension reduction Graph-based filtering Graph signal processing Brain Imaging dimensionality reduction signal processing Line graph Stimuli Magnetoencephalography REDUCTION METHODS Visual stimuli

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