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6th International symposium on computational intelligence and Design (ISCID)

作者： Liu, Haitao Xu, Jun Li, Chongyi Civil Aviat Univ China Tianjin Key Lab Adv Signal Proc Tianjin 300300 Peoples R China

ISBN: (纸本)9780769550794

According to the proposal of L-DACS1, we build the model of the receiver of the physical layer of the L-DACS1 system, using verilog HDL and DSP programming language. Timing synchronization module, which is used to locate the signals with noises accurately, is programmed in verilog HDL, considering the special structure of the time domain representation of synchronization symbols. The module of channel estimating and equalizing process the data using DSP chips, so than we can avoid errors brought by fixed algorithms and reduce the work of FPGA effectively at the same time. The result shows that the receiver can ensure a good use of the resources on chips and realize accurate and continuous work, using FPGA and DSP.

关键词： L-band digital aeronautical communication system (L-DACS1) Orthogonal frequency division multiplexing (OFDM) Digital signal processing (DSP)

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Temperature Compensation in Full Optical Fiber Current Transformer using Signal processing

Temperature Compensation in Full Optical Fiber Current Trans...

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6th International symposium on computational intelligence and Design (ISCID)

作者： Li, Yuanyuan Yang, Xiaojun Xu, Jintao Wang, Yingli XIOPM Xian Peoples R China

ISBN: (纸本)9780769550794

Error caused by temperature change is one of the major reasons for restricting the promotion of Full Optical Fiber Current Transformer (FOCT) at present. This article analyzes how the change of temperature makes impact on the parameters of optical devices, such as the original phase of quarter-wave plate and the Verdet constant of the fiber. After the experimental data are sampled in a temperature range from +20 degrees C to +70 degrees C, the relational model of error and temperature can be set up by adopting least-square method. After compensation based on this model, error could be decreased;meanwhile the precision of FOCT could be improved. Indeed, the experimental results verify that the accuracy of FOCT can be improved four times, compared with the original output without compensation. This method of compensation is quite effective to reduce the temperature influences on the FOCT to improve the accuracy.

关键词： component: FOCT temperature compensation least-square accuracy

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CLASSIFYING MEDICAL imageS USING MORPHOLOGICAL APPEARANCE MANIFOLDS

CLASSIFYING MEDICAL IMAGES USING MORPHOLOGICAL APPEARANCE MA...

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ieee 10th International symposium on Biomedical Imaging - From Nano to Macro (ISBI)

作者： Varol, Erdem Gaonkar, Bilwaj Davatzikos, Christos Univ Penn Sect Biomed Image Anal Dept Radiol Philadelphia PA 19104 USA

ISBN: (纸本)9781467364553

Input features for medical image classification algorithms are extracted from raw images using a series of pre processing steps. One common preprocessing step in computational neuroanatomy and functional brain mapping is the nonlinear registration of raw images to a common template space. Typically, the registration methods used are parametric and their output varies greatly with changes in parameters. Most results reported previously perform registration using a fixed parameter setting and use the results as input to the subsequent classification step. The variation in registration results due to choice of parameters thus translates to variation of performance of the classifiers that depend on the registration step for input. Analogous issues have been investigated in the computer vision literature, where image appearance varies with pose and illumination, thereby making classification vulnerable to these confounding parameters. The proposed methodology addresses this issue by sampling image appearances as registration parameters vary, and shows that better classification accuracies can be obtained this way, compared to the conventional approach.

关键词： biomedical MRI brain feature extraction image classification image registration image sampling medical image processing neurophysiology

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Deploying Graph Algorithms on GPUs: an Adaptive Solution

Deploying Graph Algorithms on GPUs: an Adaptive Solution

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ieee 27th International Parallel and Distributed processing symposium (IPDPS)

作者： Li, Da Becchi, Michela Univ Missouri Dept Elect & Comp Engn Columbia MO 65211 USA

ISBN: (纸本)9780769549712

Thanks to their massive computational power and their SIMT computational model, Graphics processing Units (GPUs) have been successfully used to accelerate a wide variety of regular applications (linear algebra, stencil computations, image processing and bioinformatics algorithms, among others). However, many established and emerging problems are based on irregular data structures, such as graphs. Examples can be drawn from different application domains: networking, social networking, machine learning, electrical circuit modeling, discrete event simulation, compilers, and computational sciences. It has been shown that irregular applications based on large graphs do exhibit runtime parallelism;moreover, the amount of available parallelism tends to increase with the size of the datasets. In this work, we explore an implementation space for deploying a variety of graph algorithms on GPUs. We show that the dynamic nature of the parallelism that can be extracted from graph algorithms makes it impossible to find an optimal solution. We propose a runtime system able to dynamically transition between different implementations with minimal overhead, and investigate heuristic decisions applicable across algorithms and datasets. Our evaluation is performed on two graph algorithms: breadth-first search and single-source shortest paths. We believe that our proposed mechanisms can be extended and applied to other graph algorithms that exhibit similar computational patterns.

关键词： data structures decision making graph theory graphics processing units parallel processing tree searching

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Interactive Exploration of Augmented Aerial Scenes with Free-View point image Generation from Pre-Rendered images

Interactive Exploration of Augmented Aerial Scenes with Free...

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12th ieee and ACM International symposium on Mixed and Augmented Reality - Arts, Media, and Humanities (ISMAR-AMH)

作者： Okura, Fumio Kanbara, Masayuki Yokoya, Naokazu Nara Inst Sci & Technol NAIST Ikoma Nara Japan

ISBN: (纸本)9781479928699

""This study proposes a framework to photorealistically synthesize virtual objects and virtualized real-world. We combine the offline rendering of virtual objects and the free-viewpoint image generation to take advantage of the higher quality of offline rendering without the computational cost of online computer graphics (CG) rendering; i.e., it incurs only the cost of the online computation for the free-viewpoint image generation. In addition, the generation of structured viewpoints (e.g., at every grid point) reduces the computational costs required to online process.""

关键词： geophysical image processing rendering (computer graphics) virtual reality

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Fast Identification Process of Library Call Numbers for on the Shelf Books using image processing and Artificial intelligence Techniques

Fast Identification Process of Library Call Numbers for on t...

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ieee symposium on Industrial Electronics and Applications (ISIEA)

作者： Zurek, Eduardo E. Guerrero, Gerson Reyes, Carlos Hernandez, Roque J. Jabba, Daladier Wightman, Pedro M. Salazar, Augusto Torres, Jaime E. Nieto-Bernal, Wilson Univ Norte Dept Syst Engn Barranquilla Colombia Univ Norte Dept Elect Engn Barranquilla Colombia Univ Norte Dept Mech Engn Barranquilla Colombia

This paper describes the design and implementation of a system composed by a low cost camera, a database of images of call numbers taken from the spine of on shelf books, and image processing and search algorithms. Th... 详细信息

ISBN: (纸本)9781479911257

关键词： Otsu binarization topographic signatures minimum distance classification representation database reference database

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Discrete Mereotopology for Spatial Reasoning in Automated Histological image Analysis

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ieee TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE intelligence 2013年第3期35卷 568-581页

作者： Randell, David A. Landini, Gabriel Galton, Antony Univ Birmingham Coll Med & Dent Sci Sch Dent Birmingham B4 6NN W Midlands England Univ Exeter Coll Engn Math & Phys Sci Exeter EC4 4QF Devon England

Discrete mereotopology (DM) is a first-order spatial logic that fuses together mereology (the theory of parthood relations) and topology to model discrete space. We show how a set of quasitopological functions defined within DM can be mapped to specific operators defined in mathematical morphology (MM) and easily implemented in scientific image processing programs. These functions provide the means to model topological properties of individual regions and spatial relations between them such as contact, overlap, and the relation of part to whole. DM not only extends the expressive power of image processing applications where mathematical morphology is used, but by functioning as a logic it also supplies the formal basis with which to prove the correctness of implemented algorithms as well as providing the computational basis to mechanically reason about segmented digital images using automated reasoning programs. In particular, we show how DM can supply a model-based and algorithmic context to the otherwise blind pixel-based image processing routines still dominating conventional imaging approaches. A number of worked examples drawn from the, histological domain are given, including segmentation of cells in culture, identifying basal cell layers from stratified epithelia sections, and cell sorting in blood smears.

关键词： Life and medical sciences knowledge representation formalisms and methods morphological modeling methodologies representation languages

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2013 ieee International Conference on computational intelligence and Computing Research, ieee ICCIC 2013

2013 IEEE International Conference on Computational Intellig...

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2013 4th ieee International Conference on computational intelligence and Computing Research, ieee ICCIC 2013

ISBN: (纸本)9781479915972

The proceedings contain 186 papers. The topics discussed include: a cloud-based architecture for big-data analytics in smart grid: a proposal;optical character recognition for scene text detection, mining and recognition;domain knowledge enriched framework for restricted domain question answering system;a novel approach to link semantic gap between images and tags via probabilistic ranking;web based security with LOPass user authentication protocol in mobile application;double ended speech enabled system in Indian travel & tourism industry;particle swarm optimization based parameter optimization technique in medical information hiding;application of image processing for a bubble column reactor;a modern avatar of Julius Ceasar and Vigenere cipher;parallel image segmentation using multi-threading and k-means algorithm;an ICMP based secondary cache approach for the detection and prevention of ARP poisoning;and digital image watermarking using fractional Fourier transform via image compression.

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AN AUTOMATED DRUSEN DETECTION SYSTEM FOR CLASSIFYING AGE-RELATED MACULAR DEGENERATION WITH COLOR FUNDUS PHOTOGRAPHS

AN AUTOMATED DRUSEN DETECTION SYSTEM FOR CLASSIFYING AGE-REL...

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ieee 10th International symposium on Biomedical Imaging - From Nano to Macro (ISBI)

作者： Zheng, Yuanjie Vanderbeek, Brian Daniel, Ebenezer Stambolian, Dwight Maguire, Maureen Brainard, David Gee, James Univ Penn Dept Radiol Philadelphia PA 19104 USA Univ Penn Dept Ophthalmol Philadelphia PA 19104 USA Univ Penn Dept Psychol Philadelphia PA 19104 USA

ISBN: (纸本)9781467364553

We present a system of automated drusen detection from color fundus photographs with our ultimate goal being to automatically assess the risk for the development of Age-related Macular Degeneration (AMD). Our system incorporates learning based drusen detection and includes fundus image analysis techniques for image denoising, illumination correction and color transfer. In contrast to previous work, we incorporate both optimal color descriptors and robust multiscale local image descriptors in our drusen detection process. Our system was evaluated with color fundus photographs from two AMD clinical studies [1, 2]. By comparing our results to those obtained via manual drusen segmentation, we show that our system outperforms two state-of-the-art techniques.

关键词： biomedical optical imaging colour photography eye image classification image colour analysis image denoising image segmentation learning (artificial intelligence) medical image processing

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MULTI-CLASS REGULARIZATION PARAMETER LEARNING FOR GRAPH CUT image SEGMENTATION

MULTI-CLASS REGULARIZATION PARAMETER LEARNING FOR GRAPH CUT ...

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ieee 10th International symposium on Biomedical Imaging - From Nano to Macro (ISBI)

作者： Candemir, Sema Palaniappan, Kannappan Akgul, Yusuf Sinan NIH Lister Hill Natl Ctr Biomed Commun US Natl Lib Med Bldg 10 Bethesda MD 20892 USA Univ Missouri Dept Comp Sci Columbia MO 65211 USA

ISBN: (纸本)9781467364553

One of the first steps of computer-aided systems is robustly detect the anatomical boundaries. Literature has several successful energy minimization based algorithms which are applied to medical images. However, these algorithms depend on parameters which need to be tuned for a meaningful solution. One of the important parameters is the regularization parameter (lambda) which is generally estimated in an ad-hoc manner and is used for the whole data set. In this paper we claim that lambda can be learned by local features which hold the regional characteristics of the image. We propose a lambda estimation system which is modeled as a multi-class classification scheme. We demonstrate the performance of the approach within graph cut segmentation framework via qualitative results on chest x-rays. Experimental results indicate that predicted parameters produce better segmentation results.

关键词： diagnostic radiography graphs image classification image segmentation learning (artificial intelligence) medical image processing

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