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MIPPR 2007: Automatic Target Recognition and Image Analysis;and Multispectral Image Acquisition

作者： Li, Dehua Jin, Lianghai Yao, Xingzhong Xiong, Caiquan State Key Lab. for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Second Artillery Command College Wuhan 430012 China School of Computer Science Hubei University of Technology Wuhan 430068 China

ISBN: (纸本)9780819469502

This paper introduces a new class of switching vector median filter. The proposed algorithm first uses four directional masks to analyze the color difference between the central pixel and its neighborhood pixels in the RGB color space and classify each color pixel into noisy pixel or noise-free one, and then employs the standard vector median filtering operations in the detected noisy locations to restore the corrupted pixels and leave the noise-free ones unchanged. The simulation results show that the proposed method excellently suppresses impulsive noise as well as preserving the image details well, and significantly outperforms the existing vector filtering solutions in terms of both the objective measures and the perceptual visual quality.

关键词： Color image processing

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Medical X-Ray Image Enhancement Based on Kramer's PDE Model

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Journal of Electronic Science and technology of China 2007年第2期5卷 187-190页

作者： Yan-Fei Zhao Qing-Wei Gao De-Xiang Zhang Yi-Xiang Lu Key Lab. of Intelligent Computing and Signal Processing of MOE Anhui University. Hefei 230039 China School of Electronic Science and Technology Anhui University Hefei 230039 China

The purpose of this study is to present an application of a novel enhancement technique for enhancing medical images generated from X-rays. The method presented in this study is based on a nonlinear partial differential equation （PDE） model, Kramer＇s PDE model. The usefulness of this method is investigated by experimental results. We apply this method to a medical X-ray image. For comparison, the X-ray image is also processed using classic Perona-Malik PDE model and Catte PDE model. Although the Perona-Malik model and Catte PDE model could also enhance the image, the quality of the enhanced images is considerably inferior compared with the enhanced image using Kramer＇s PDE model. The study suggests that the Kramer＇s PDE model is capable of enhancing medical X-ray images, which will make the X-ray images more reliable.

关键词： Terms-Enhancement nonlinear partial differential equation （PDE） partial differential equation model X-ray image.

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Medical X-Ray Image Enhancement Based on Kramer's PDE Model

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Journal of Electronic Science and technology 2007年第2期000卷 187-190页

作者： Y.-F.Zhao Q.-W.Gao D.-X.Zhang Y.-X.Lu Key Lab. of Intelligent Computing and Signal Processing of MOE Anhui University. Hefei 230039 China School of Electronic Science and Technology Anhui University Hefei 230039 China

The purpose of this study is to present an application of a novel enhancement technique for enhancing medical images generated from X-rays. The method presented in this study is based on a nonlinear partial differential equation (PDE) model, Kramer’s PDE model. The usefulness of this method is investigated by experimental results. We apply this method to a medical X-ray image. For comparison, the X-ray image is also processed using classic Perona-Malik PDE model and Catte PDE model. Although the Perona-Malik model and Catte PDE model could also enhance the image, the quality of the enhanced images is considerably inferior compared with the enhanced image using Kramer’s PDE model. The study suggests that the Kramer’s PDE model is capable of enhancing medical X-ray images, which will make the X-ray images more reliable.

关键词： Enhancement nonlinearpartialdifferentialequation(PDE) partialdifferentialequationmodel X-rayimage

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Reduced memory zerotree envelop coding for wavelet image

Reduced memory zerotree envelop coding for wavelet image

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MIPPR 2007: Automatic Target Recognition and Image Analysis;and Multispectral Image Acquisition

作者： Wentao, Wang Guoyou, Wang Jianguo, Liu State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China College of Computer Science South-Central University for Nationalities 708 Minyuan Road Wuhan 430074 China

ISBN: (纸本)9780819469502

In this paper, we propose a new image codec, which called embedded zerotree wavelet coefficients envelop coding (EZWCEC). The coefficients envelop is characterized by describing the global tendency of the significant wavelet coefficients. Based on the empirical analysis and experimental results, our EZWCEC algorithm restores the trend of the significant wavelet coefficients and estimates the magnitude of some insignificant coefficients on the decoder. Unlike other zerotree coding algorithms such as Said and Pearlman's SPIHT using three lists, EZWCEC only uses two lists during encoding and decoding. So the memory requirement for the hardware implementation is reduced significantly. Although PSNR values for EZWCEC are lower than SPIHT's and JPEG2000's, our experiment results have shown that EZWCEC can dramatically improve the visual quality of reconstructed at low bit rates (e.g., below 0.1bpp).

关键词： Image coding

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Trajectory based event tactics analysis in broadcast sports video

Trajectory based event tactics analysis in broadcast sports ...

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15th ACM International Conference on Multimedia, MM'07

作者： Zhu, Guangyu Huang, Qingming Xu, Changsheng Rui, Yong Jiang, Shuqiang Gao, Wen Yao, Hongxun School of Computer Science Harbin Institute of Technology 150001 China Graduate School Chinese Academy of Sciences 100080 China Institute for Infocomm Research Singapore 119613 Singapore Microsoft Research Asia 100080 China Key Lab. of Intell. Info. Processing Institute of Computing Technology Chinese Academy of Sciences 100080

ISBN: (纸本)9781595937025

Most of existing approaches on event detection in sports video are general audience oriented. The extracted events are then presented to the audience without further analysis. However, professionals, such as soccer coaches, are more interested in the tactics used in the events. In this paper, we present a novel approach to extract tactic information from the goal event in broadcast soccer video and present the goal event in a tactic mode to the coaches and sports professionals. We first extract goal events with far-view shots based on analysis and alignment of web-casting text and broadcast video. For a detected goal event, we employ a multi-object detection and tracking algorithm to obtain the players and ball trajectories in the shot. Compared with existing work, we proposed an effective tactic representation called aggregate trajectory which is constructed based on multiple trajectories using a novel analysis of temporal-spatial interaction among the players and the ball. The interactive relationship with play region information and hypothesis testing for trajectory temporal-spatial distribution are exploited to analyze the tactic patterns in a hierarchical coarse-to-fine framework. The experimental results on the data of FIFA World Cup 2006 are promising and demonstrate our approach is effective. Copyright 2007 ACM.

关键词： Video signal processing

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A study of a variable-capacitance drain network's influence on dynamic behavioral modeling of an RF power amplifier

A study of a variable-capacitance drain network's influence ...

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69th ARFTG Microwave Measurements Conference - Addressing Metrology Needs for Future High-Speed Information and Communications Systems

作者： Isaksson, Magnus Wisell, David Eng, Anders Rönnow, Daniel University of Gävle Dept. of Electronics SE-80176 Gävle Sweden Royal Institute of Technology Signal Processing Lab. SE-100 44 Stockholm Sweden Ericsson AB Box 6206 SE-80006 Gävle Sweden Syntronic AB SE-80133 Gävle Sweden WesternGeco AS N-1372 Asker Norway

ISBN: (纸本)0780397630

An investigation of the complex-valued parameters of two different dynamic behavioral models due to changes in the drain decoupling network of a PA has been performed. The study is based on complex-envelope measurements on a real PA. The complex coefficients of the parallel Hammerstein (PH) and the optimal pole placements of the Kautz-Volterra (KV) models are analyzed. It is concluded that the parameters follow smooth, predictable functions and that the KV poles give a robust description of the PA's memory effects compared with the PH model. ©2007 IEEE.

关键词： Power amplifiers

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Error factors in the rotational symmetric triangulation sensor

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2007年第SUPPL. 3期28卷 9-13页

作者： Wang, Lei Gao, Jun Wang, Xiaojia Eckstein, Johannes Ott, Peter Lab. of Image Information Processing School of Computer and Information Hefei University of Technology Hefei 230009 China Hochschule Heilbronn Heilbronn D-74081 Germany Dept. of Mechanical and Electrical Engineering Xiamen University Xiamen 361005 China

Rotationally symmetric triangulation (RST) sensor has more flexibility and less uncertainty than traditional laser triangulation because of the abaxial rotationally symmetric optical system. Error and uncertain factors in this kind of sensors are studied in this paper, especially the system uncertainty factors from the error of manufacturing and adjustment. Geometric error model of RST which met the Scheimpflug condition is presented. Based on this model, it is shown that an incident laser spot which departures the rotational axis of the optical system will influent the measurement result quite a lot, and also a tilt detector and optical system aberration will have a smaller effect. At last, Simulation and experiment results are given to verify the analysis.

关键词： Error factors Laser triangulation sensor Optical measurement Rotational symmetric

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How Transferable Are Spatial Features for the Classification of Very High Resolution Remote Sensing Data?

How Transferable Are Spatial Features for the Classification...

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Urban Remote Sensing Joint Event

作者： Mathieu Fauvel Jocelyn Chanussot Jon Atli Benediktsson Department of Images and Signal Processing-GIPSA-Lab Grenoble Grenoble Institute of Technology (INPG) Saint Martin d'Heres France Department of Electrical and Computer Engineering University of Iceland Reykjavik Iceland

Knowledge transfer for the classification of very high resolution panchromatic data over urban area is investigated. Invariant feature are extracted with some morphological processing. The well-known spectral angle mapper (SAM) is proposed as a measure of transferability. Support vector machines (SVMs) are used to fit a separating hyperplane in a vector space defined by the extracted spatial features. The hyperplane is then used to classify other data set without any new training. Several experiments are presented. Results confirm the usefulness of spatial feature when the classification of two images from two separates data set is considered.

关键词： Spatial resolution Remote sensing Data mining Urban areas Knowledge transfer Feature extraction Support vector machines Support vector machine classification signal resolution Electronic mail

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Single Image Super-Resolution Based on Support Vector Regression

Single Image Super-Resolution Based on Support Vector Regres...

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International Joint Conference on Neural Networks (IJCNN)

作者： Dalong Li Steven Simske Russell M. Mersereau Digital Printing and Imaging Lab Hewlett Packard Laboratories Fort Collins CO USA Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

Motivated by the success of support vector regression (SVR) in blind image deconvolution, we apply SVR to single-frame super-resolution. Initial results show that even when trained on as little as a single image, SVR ... 详细信息

关键词： Image resolution signal resolution Deconvolution Interpolation Low pass filters Discrete wavelet transforms PSNR High-resolution imaging Filtering Discrete cosine transforms

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Intrusion detection based on fuzzy reasoning

Intrusion detection based on fuzzy reasoning

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26th Chinese Control Conference, CCC 2007

作者： Fei, Yu Yue, Shen Guiping, Liao Linfeng, Zhang Cheng, Xu School of Computer Andinformation Engineering Hunan Agricultural University Changsha 410128 China Guangdong Province Key Lab. of Electronic Commerce Market Application Technology Guangdong University of Business Studies Guangzhou 510320 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 2150063 China

ISBN: (纸本)7900719229

The paper proposes a new network intrusion detection system based on fuzzy neural network by redesigning the intrusion detection system's architecture and arithmetic. In order to overcome the difficulty of specifying the membership function of rules depending on experiences of experts in multi-dimension space.,neural network is introduced to distinguish non-linearly input/output characteristics of complex system and to generate rule sets and membership functions automatically. The new architecture adopts the network processor to collect and analyse the data in the low layer of network.,and to establish a prototype system. This system demonstrated in this experiment appears to be better intrusion detection ability, moreover, which is able to detect unknown attack and plays down false alarms.

关键词： Fuzzy neural networks

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