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

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International conference on Advances in Information and Communication Technology, ICTA 2016

International Conference on Advances in Information and Comm...

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Proceedings of the International conference on Advances in Information and Communication Technology, ICTA 2016

ISBN: (纸本)9783319490724

The proceedings contain 69 papers. The special focus in this conference is on Advances in Information and Communication Technology. The topics include: Multimodal based clouds computing systems for healthcare and risk forecasting based on subjective analysis;telematics and advanced transportation services;toward affective speech-to-speech translation;a computer vision based machine for walnuts sorting using robot operating system;a fpga based two level optimized local filter designfor high speed image processing applications;a frequency dependent investigation of complex shear modulus estimation;a method to enhance the remote sensing images based on the local approach using kmeans algorithm;a method for clustering and identifying http automated software communication;a new neuro-fuzzy inference system for insurance forecasting;a new schema to identify s-farnesyl cysteine prenylation sites with substrate motifs;a novel framework based on deep learning and unmanned aerial vehicles to assess the quality of rice fields;a semi-supervised learning method for hybrid filtering;a study on fitness representation in genetic programming;an evaluation of hand pyramid structure for hand representation based on kernels;an exploratory study on students’ performance classification using hybrid of decision tree and naïve bayes approaches;an iterative method to solve boundary value problems with irregular boundary conditions;classifying human body postures by a support vector machine with two simple features;comparing modified pso algorithms for mrs in unknown environment exploration and estimation localization in wireless sensor network based on multi-objective grey wolf optimizer.

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Constraints to solve parallelogram grid problems in 2D non separable linear canonical transform 5

Constraints to solve parallelogram grid problems in 2D non s...

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conference on Holography - Advances and Modern Trends V

作者： Zhao, Liang Healy, John J. Muniraj, Inbarasan Cui, Xiao-Guang Malallah, Ra'ed Ryle, James P. Sheridan, John T. Univ Coll Dublin Insight Ctr Data Analyt Dublin 4 Ireland Univ Coll Dublin Coll Engn & Architecture SFI Strateg Res Cluster Solar Energy Convers Sch Elect & Elect EngnLab IoE2 Dublin 4 Ireland Chinese Acad Sci Inst Automat 95 East Zhong Guan Cun Rd Beijing 100190 Peoples R China Univ Basrah Fac Sci Phys Dept Garmat Ali Basrah Iraq

ISBN: (数字)9781510609686

ISBN: (纸本)9781510609679;9781510609686

The 2D non-separable linear canonical transform (2D-NS-LCT) can model a range of various paraxial optical systems. Digital algorithms to evaluate the 2D-NS-LCTs are important in modeling the light field propagations and also of interest in many digital signal processing applications. In [Zhao 14] we have reported that a given 2D input image with rectangular shape/boundary, in general, results in a parallelogram output sampling grid (generally in an affine coordinates rather than in a Cartesian coordinates) thus limiting the further calculations, e.g. inverse transform. One possible solution is to use the interpolation techniques;however, it reduces the speed and accuracy of the numerical approximations. To alleviate this problem, in this paper, some constraints are derived under which the output samples are located in the Cartesian coordinates. Therefore, no interpolation operation is required and thus the calculation error can be significantly eliminated.

关键词： Digital holography ABCD transforms Numerical approximation and analysis Discrete optical signal processing

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Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks 30

Learning Spatiotemporal Features for Infrared Action Recogni...

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30th IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Jiang, Zhuolin Rozgic, Viktor Adali, Sancar Raytheon BBN Technol Cambridge MA 02138 USA

ISBN: (纸本)9781538607336

Infrared (IR) imaging has the potential to enable more robust action recognition systems compared to visible spectrum cameras due to lower sensitivity to lighting conditions and appearance variability. While the action recognition task on videos collected from visible spectrum imaging has received much attention, action recognition in IR videos is significantly less explored. Our objective is to exploit imaging data in this modality for the action recognition task. In this work, we propose a novel two-stream 3D convolutional neural network (CNN) architecture by introducing the discriminative code layer and the corresponding discriminative code loss function. The proposed network processes IR image and the IR-based optical flow field sequences. We pretrain the 3D CNN model on the visible spectrum Sports-1M action dataset and finetune it on the Infrared Action Recognition (InfAR) dataset. To our best knowledge, this is the first application of the 3D CNN to action recognition in the IR domain. We conduct an elaborate analysis of different fusion schemes (weighted average, single and double-layer neural nets) applied to different 3D CNN outputs. Experimental results demonstrate that our approach can achieve state-of-the-art average precision (AP) performances on the InfAR dataset: (1) the proposed two-stream 3D CNN achieves the best reported 77.5% AP, and (2) our 3D CNN model applied to the optical flow fields achieves the best reported single stream 75.42% AP.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Extended Multispectral Face Presentation Attack Detection: An Approach Based on Fusing Information From Individual Spectral Bands 20

Extended Multispectral Face Presentation Attack Detection: A...

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20th International conference on Information Fusion (Fusion)

作者： Raghavendra, R. Raja, Kiran B. Venkatesh, Sushma Busch, Christoph Norwegian Univ Sci & Technol NTNU Norwegian Biometr Lab Trondheim Norway

ISBN: (纸本)9780996452700

Multispectral face recognition systems are widely used in various access control applications. The vulnerability of multispectral face recognition sensors towards low-cost Presentation Attack Instrument (PAI) such as printed photos used in attacks has emerged as a serious security threat. In this paper, we present a novel framework to detect presentation attacks against an extended multispectral face sensor. The proposed framework stems from the idea of exploring the complementary information available from different bands of an extended multispectral face sensor. To this extent, two different frameworks are proposed where the first framework is based on image fusion and the second builds on the Presentation Attack Detection (PAD) score level fusion. Extensive experiments are carried out on the extended multispectral face sensor database comprising of 50 subjects with two different presentation attacks generated using the printed photo artefacts. The obtained results indicate the superior performance of the PAD score level fusion on detecting both known and unknown attacks.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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An efficient image watermarking scheme using the Laplacian Pyramid based on projection

An efficient image watermarking scheme using the Laplacian P...

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International conference on Recent Advances in Signal processing, Telecommunications & Computing (SigTelCom)

作者： Sy C. Nguyen Ha Hoang Kha Hoang M. Nguyen Faculty of Electrical & Electronics Engineering Ho Chi Minh city University of Technology Faculty of Management Information Systems Banking University of HCM City Vietnam

ISBN: (纸本)9781509022922

The digital image watermarking technology is widely used to protect intellectual property and to authenticate digital contents in the network environment. The aim of the paper is to invoke the improved Laplacian Pyramid transform to develop a new image watermarking scheme. Specifically, the host image is decomposed and reconstructed by using the improved Laplacian Pyramid transform. Then, the mid frequency subband data with the appropriate level and strength factor are chosen to embed the watermark. Finally, we conduct experiments to investigate the invisibility and robustness of the proposed algorithm. To measure the invisibility and the robustness of the algorithms, we use the peak signal-to-noise ratio (PSNR) and normalized correlation (NC) as performance metrics. Experimental results demonstrate that invisibility and robustness are guaranteed. The proposed algorithm outperforms one based on curvelets for the lossy JPEG compression attack in terms of invisibility and robustness.

关键词： Watermarking Transforms Laplace equations Robustness Signal processing algorithms image reconstruction Signal processing

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Digital camera with real time chaotic image encryption

Digital camera with real time chaotic image encryption

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International conference on Intelligent Sustainable systems (ICISS)

作者： M. Brindha Department of Computer Science and Engineering National Institute of Technology Tiruchirappalli Tamilnadu India

ISBN: (纸本)9781538619605

The images captured by a camera is saved or otherwise sent over the internet without encryption. If the camera is stolen, then all the images stored inside it will be stolen by others. For real time applications to impose security, image is to be captured, compressed and encrypted in the camera itself. To resolve this issue, chaotic based image encryption is proposed while capturing the image. Experiments are made in NI Smart Camera and analysed with various measures to prove the efficacy of the proposed algorithm.

关键词： Encryption Logistics Cameras Chaos Real-time systems Signal processing algorithms

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Automatic Construction of image Inspection Algorithm By using image processing Network Programming 13

Automatic Construction of Image Inspection Algorithm By usin...

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13th International conference on Quality Control by Artificial Vision

作者： Yoshimura, Yuichiro Aoki, Kimiya Chukyo Univ Grad Sch Dept Informat Sci & Technol Nagoya Aichi Japan

ISBN: (数字)9781510611221

ISBN: (纸本)9781510611214;9781510611221

In this paper, we discuss a method for automatic programming of inspection image processing. In the industrial field, automatic program generators or expert systems are expected to shorten a period required for developing a new appearance inspection system. So-called "image processing expert system" have been studied for over the nearly 30 years. We are convinced of the need to adopt a new idea. Recently, a novel type of evolutionary algorithms, called genetic network programming (GNP), has been proposed. In this study, we use GNP as a method to create an inspection image processing logic. GNP develops many directed graph structures, and shows excellent ability of formulating complex problems. We have converted this network program model to image processing Network Programming (IPNP). IPNP selects an appropriate image processing command based on some characteristics of input image data and processing log, and generates a visual inspection software with series of image processing commands. It is verified from experiments that the proposed method is able to create some inspection image processing programs. In the basic experiment with 200 test images, the success rate of detection of target region was 93.5%.

关键词： visual inspection appearance inspection inspection mechanism genetic network programming

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Infrared target edge detectionin in sea sky backgrand

Infrared target edge detectionin in sea sky backgrand

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International conference on systems and Informatics (ICSAI)

作者： Shengyong Li Xiaochuan Ai Ronghua Wu Nianlong Zeng Naval Univ. of Engineering Wuhan China

Edge detection and extraction is very important in image processing and recognition whose algorithm directly affect the performance of the entire detection system. The ability of image denoising and the accuracy of edge detection are both required high, especially in the complex natural environment at sea. Most of image edge examination algorithms before have limitations and disadvantages of their own, so there is still room for improvement in this area. I'd like to put forward a sea-skyline detection algorithm and give simulation examples based on image filtering processing and gray image corrosion in the complex background of natural environment at sea, aiming at acquiring preferable ability of denoising and target extraction on the premise of ensuring the detection accuracy.

关键词： image edge detection Corrosion image denoising Low pass filters Cutoff frequency Feature extraction

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The Determination of the Circular Boundary in Quartz Rods Detection

The Determination of the Circular Boundary in Quartz Rods De...

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International conference on systems and Informatics

作者： Jiming Sa Yangmin Gong Liu Shi Jiahui Xu Hang Li School of Information Engineering Wuhan University of Technology Wuhan China Key Laboratory of Fiber Optic Sensing Technology and Information Processing Ministry of Education Wuhan China

To detect defects in quartz rods using machine vision technology, we need to get the image through the camera and transmitted it to a computer for next processing. The energy of laser will be produced when it passed the object, which makes it difficult to identify the resulting quartz rod boundary. This paper proposes a method of boundary detection based on Hough transform circle, and improves the Hough transform of some algorithms for solving the problem of the large amount of calculation.

关键词： defect detection image processing Hough transformation

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A review of different optimization algorithms for a linear phase FIR filter

A review of different optimization algorithms for a linear p...

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International conference on Recent Innovations in Signal processing and Embedded systems (RISE)

作者： Neelam Singh Anjali Potnis Department of Electrical & Electronics Engineering National Institute of Technical Teachers' Training & Research Bhopal Madhya Pradesh INDIA

ISBN: (纸本)9781509047611;9781509047604

Digital filters forms an important part of today's expanding field of Digital Signal processing (DSP). Among them the most used filter is Finite impulse response i.e. FIR filters. FIR filters are used extensively used for filtering of image, modulation of frequency, precision arithmetic and for various other purposes. Thus, various optimization methods are employed for the designing of optimal digital FIR filters. Use of various optimization techniques provides better results for different filter coefficients with respect to control parameter, dependence, premature convergence, etc. They have many pros like simple design implementation, minimized error function, superior search capability and fast convergence. In this paper, we are going to compare some well recognized optimisation algorithms based on the ripples present in the pass band and stop band along with the attenuation provided by the stop band.

关键词： Finite impulse response filters IIR filters Optimization Filtering algorithms Particle swarm optimization Convergence

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