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检索条件"任意字段=International Conference on Signal Image Technology and Internet Based Systems"

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A sensor network gateway for IP network and SQL database 5

A sensor network gateway for IP network and SQL database

引用

5th international conference in image Processing and Communications, IP&C 2013

作者： Lech, Piotr West Pomeranian University of Technology Szczecin Department of Signal Processing and Multimedia Engineering 26. Kwietnia 10 Szczecin71-126 Poland

ISBN: (纸本)9783319016214

This article presents the concept of building the access gate between a sensor network and internet. A sensor network can be built in any standard, through wire or wireless (ZigBee, Bluetooth or Wi-Fi). Data transmission was made by higher layers of ISO/OSI web model, with local caching and data saving on the SQL server. The developed gateway has to ensure proper data transfer in different conditions concerning the bitrate and latency. The developed solution includes a variety of operating systems. © Springer international Publishing Switzerland 2014.

关键词： Zigbee

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Design and implementation of a highly efficient gray image compression codec using fuzzy based soft hybrid JPEG standard

Design and implementation of a highly efficient gray image c...

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international conference on Electronic systems, signal Processing, and Computing Technologies, ICESC 2014

作者： Thakur, Vikrant Singh Thakur, Kavita Rungta College of Engineering and Technology Raipur India Pt. Ravishankar Shukla University Raipur India

ISBN: (纸本)9781479921027

In the last few years, rapid growth in the technological development has been reported. This rapid growth in technology demands fast and efficient processing, transmission and storage of data. Although lots of work have been reported in the literature related to efficient processing and transmission of data, but this would not be achieved without assuring reduction in data storage, as during processing and transmission most of the efforts and time is required for either accessing the data or storing the data. Therefore to cope up with the current technological demands, the data should be in highly compressed form. One of the most important form of data is digital image which is nothing but a two dimensional signal. Digital image in their raw form require a huge amount of storage capacity so that a scheme that produces high degree of compression is required which should preserve the critical image information. However JPEG standards are already available for gray image compression, but this area is still open for algorithms, which can provide better compression ratio while keeping mean square error low. Zadah in his paper proved that, imprecise situations can be properly handled using fuzzy logic. This feature of fuzzy logic has been incorporated by introducing a novel data compression technique for gray images using fuzzy logic based fusion of available JPEG and JPEG2K Standards (FSHJPEG) to achieve higher compression ratio as compared to stand alone JPEG and JPEG2K standards. The fuzzy based soft hybrid JPEG technique (FSHJPEG) gives high compression ratio, preserving most of the image information and the image is reproduced with good quality. This new technique not only gives high compression ratio, but also reduces blocking artifacts, ringing effects and false contouring appreciably. The compression ratio obtained using FSHJPEG is more as compared to currently used standards of image compression, preserving most of the image information. © 2014 IEEE.

关键词： Discrete wavelet transforms

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Wavelet-domain image watermarking using optimization-based mean quantization 1

引用

1st Euro-China conference on Intelligent Data Analysis and Applications, ECC 2014

作者： Huang, Huang-Nan Chen, Der-Fa Lin, Chiu-Chun Chen, Shuo-Tsung Department of Applied Mathematics Tunghai University Taichung40704 Taiwan Department of Industrial Education and Technology National Changhua University of Education Changhua500 Taiwan

ISBN: (数字)9783319077765

ISBN: (纸本)9783319077758

This study presents an image watermarking scheme that uses optimization-based mean quantization in the wavelet domain. In the proposed scheme, multi-coefficients of DWT are utilized for image watermarking. To modify these coefficients in mean quantization technique, an optimization formula is derived. First, the peak signal-to-noise ratio (PSNR) is expressed as a performance index in matrix form. Then, an optimized-quality functional that relates the performance index to the mean-quantization technique is obtained. Finally, the Lagrange Principle is utilized to obtain the optimal solution. The optimal solution is applied to watermarking. Experimental results show that the watermarked image can keep high PSNR and achieve better BER even when the number of coefficients for embedding a watermark bit increases. © Springer international Publishing Switzerland 2014.

关键词： image watermarking

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Continuous potts model based SAR image segmentation by using dictionary-based mixture model

Continuous potts model based SAR image segmentation by using...

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2nd international conference on Communications, signal Processing, and systems, CSPS 2013

作者： Yu, Yadan Cao, Zongjie Feng, Jilan School of electronic engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9783319005355

In this paper, Potts model based on the dictionary-based mixture model (DMM) is proposed to make image classification. Potts model is used for SAR image segmentation by minimizing energy functional, which is a weighted sum of data fidelity and the length of the boundaries of the regions. However, it needs prior information such as the number of regions and the probability density function of image. In this paper, we overcome this problem by using the dictionary-based mixture model, which can compute the optimal number of segments automatically and the probability density function of complex SAR image. Experiments on several real SAR images show that Potts model based on DMM has better performance in SAR image segmentation than that with sole distribution. © 2014 Springer international Publishing Switzerland.

关键词： Probability density function

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An unsupervised band selection based on band similarity for hyperspectral image target detection 14

An unsupervised band selection based on band similarity for ...

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6th international conference on internet Multimedia Computing and Service, ICIMCS 2014

作者： Cao, Yan Zhang, Jing Zhuo, Li Wang, Chao Zhou, Qianlan Signal and Information Processing Laboratory Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9781450328104

In remote sensing data processing, band selection is very important for hyperspectral image processing and analysis, which utilize the most distinctive and informative band subset of original bands to reduce data dimensionality. Although band selection can significantly alleviate the computational burden, the process itself may cause additional computation complexity. In this paper, an unsupervised band selection method based on band similarity is proposed for hyperspectral image target detection. Several selected pixels are used for unsupervised band selection instead of using all the pixels to reduce computational complexity. The number of bands to be selected is determined by adjusting the threshold of similarity metric, to ensure target detection operator have the best performance with selected bands. The experimental results show that our method can yield a better result in target detection. Copyright 2014 ACM.

关键词： Pixels

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Compressed sensing image reconstruction algorithm by dictionary learning 14

Compressed sensing image reconstruction algorithm by diction...

引用

6th international conference on internet Multimedia Computing and Service, ICIMCS 2014

作者： Shen, Yanfei Zhu, Guangyu Li, Jintao Zhu, Zhenmin Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China MOE Key Laboratory for Transportation Complex Systems Theory and Technology Beijing Jiaotong University Beijing China World Capital Cities Smooth Traffic Collaborative Innovation Center Beijing China

ISBN: (纸本)9781450328104

It is a challenging task to reconstruct images from compressed sensing measurement due to its implicit ill-posed property. In this paper, we propose an image reconstruction algorithm for compressed sensing image application based on the adaptive dictionary, which is learned from the reconstructed image itself. The sparsity level is enhanced since the sparse coding of overlapping image patches takes into account the local image features, and accordingly the quality of the reconstructed image is improved. In addition, linearization technique is also exploited to remove the computation of matrix inversion. Numerical experiments are conducted on several test images with a variety of sampling ratios. The results demonstrate that our proposed algorithm can efficiently reconstruct images from compressed sensing measurements and achieve more than 3dB gain averagely over the current state-of-art compressed sensing reconstruction algorithms. Copyright 2014 ACM.

关键词： image reconstruction

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Face Detection and Tracking from image and Statistics Gathering

Face Detection and Tracking from Image and Statistics Gather...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Dmitry Mikhaylov Anton Samoylov Peter Minin Alexey Egorov Engineering Centre of the National Research Moscow Engineering Physics Institute Moscow Russian Federation

This article deals with facial detection and tracking algorithm development. The most efficient method for facial monitoring, namely, template matching technique, was found by considering different tracking techniques. The authors enumerate main drawbacks of the template tracking and improve the algorithm according to the problem set. The following modifications to the template matching method were developed: template averaging, face loss at image edges, scaling the image according to the eye to eye distance, scaling by means of face search, color histogram check and lost face recovery. The article also provides results of functional and stress tests of the tracking algorithm developed.

关键词： Face Histograms Face detection image color analysis Brightness Cameras

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An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness 6

An Optimal-Pruned Extreme Learning Machine based modelling o...

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6th international conference on Information technology and Multimedia, ICIMU 2014

作者： Janahiraman, Tiagrajah V. Ahmad, Nooraziah Centre for Signal Processing and Control Systems Dept of Electronics and Communication Engineering College of Engineering Universiti Tenaga Nasional Jalan IKRAM-UNITEN Kajang Selangor43000 Malaysia Department of Creative Technology Faculty of Creative Technology and Heritage Universiti Malaysia Kelantan Bachok Kelantan Malaysia

ISBN: (纸本)9781479954230

A computer based modelling and prediction method is vital in the field of Computer Numerical Control based cutting operation. The final quality of finished surface is mainly influenced by the interaction between the work piece, cutting tool and machining system. Therefore, many researchers attempted to develop an efficient prediction systems for surface roughness before machining. In this paper, Optimal Pruned Extreme Learning Machine (OPELM) is proposed for modelling and predicting surface roughness with respect to its cutting parameters in turning based machining process. The surface roughness models obtained from other methods such as Response Surface Method, Neural Network and Extreme Learning Machine were compared with the experimental results. Our experimental study consist of 15 workpieces that were used for cutting using turning operation. The correlation between the input parameters such as feed rate, cutting speed and depth of cut with surface roughness was modelled using OPELM. based on our study, OPELM performed the best in modelling and predicting based on unknown set of input. © 2014 IEEE.

关键词： Surface roughness

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Contact Lens Detection and Classification in Iris images through Scale Invariant Descriptor

Contact Lens Detection and Classification in Iris Images thr...

引用

international IEEE conference on signal-image Technologies and internet-based System

作者： Diego Gragnaniello Giovanni Poggi Carlo Sansone Luisa Verdoliva Universita degli Studi di Napoli Federico II Napoli Campania IT DIETl Università Federico II di Napoli Naples Italy

We propose a new machine-learning technique for detecting the presence and type of contact lenses in iris images. Following the usual paradigm, we extract the regions of interest for classification, compute a feature vector based on local descriptors, and feed it to a properly trained SVM classifier. Major improvements w.r.t. Current state of the art concern the design of a more reliable segmentation procedure and the use of a recently proposed dense scale-invariant image descriptor. Experiments on publicly available datasets show the proposed method to outperform significantly all reference techniques.

关键词： Iris recognition Iris Lenses Feature extraction image segmentation image edge detection Eyelids

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2013 international conference on Information Engineering, ICIE 2013

2013 International Conference on Information Engineering, IC...

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2013 international conference on Information Engineering, ICIE 2013

ISBN: (纸本)9781845648558

The proceedings contain 192 papers. The special focus in this conference is on Information and Communication Engineering, Electronics Science, technology, and Application, Computer science and technology, ICT for Business and Management, and Information Engineering. The topics include: Bidirectional channel assignment for multiradio wireless mesh backhaul;application of neural networks in Taiwan train quali system performance evaluation;an evaluation of tourist attraction ranking methods;joint just noticeable distortion based stereo image watermarking method with self-recovery;decision fusion rule for dynamic large-scale wireless sensor networks;the research of black hole detection in AODV based on NS2;strumming pattern recognition from ukulele songs;shared optical infrastructure for precise time transfer;multicast management in OpenFlow network environment;a survey of code-based and social-based routing protocols in delay tolerant networks;learning strategies of domain ontology concepts from the web;domain-specific evolving network model for complex systems;a community partition algorithm for the network public opinion;spectral analysis of the moving system with multi-object based on V-system;the characteristics of APT attacks and strategies of countermeasure;research on serial assembling scheme for network coding in the internet;joint processing with local channel state information for heterogeneous networks;research on SVM-based securities time series;simulation and verification of high dynamic IF GPS signal;satellites selection method for high-dynamic vector GPS receiver;design and implementation of instant message system based on P2P in LAN;exploring the translation mode for scientific discourses under the framework of information dualism;extraction method for image region of interest based on visual attention model;analysis on the effect of channel transmission rate on communication efficiency;design of AMBA-compliant image scaler circuit for low bus bandwidth

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