检索结果-内蒙古大学图书馆

作者： Xu, Jianbo Lou, Junhui Yang, Xin Xiao, Tian Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China Flat Panel Display Technology R and D Center SVA Electron Co. Ltd. 196 Ouyang Rd. Shanghai 200081 China

ISBN: (纸本)9787561752289

In this paper, we present the electro-optical characteristics of EL devices made by SVA. A Sawyer-Tower circuit has been set up to evaluate the luminous efficiency based on the measurements of luminance and transferred charge of the EL device. A program is developed to plot the luminance and efficiency as a function of voltage from the input of measurement data. These plots are useful for evaluating the performance of the EL devices and providing feedback for the optimization of thin film structure and processing parameters. When the modulation voltage is 30 V, it is shown that the luminance and efficiency of the yellow (ZnS: Mn) EL device is L30 =250 cd/m2 and η30 = 1.3 lm/W, respectively. Furthermore , the color spectra and the CIE color coordinates of various EL samples (green and blue) developed by SVA are evaluated and discussed.

关键词： Luminance

来源：评论

学校读者我要写书评

暂无评论

Color image filtering based on impulsive noise detection

Color image filtering based on impulsive noise detection

引用

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

来源：评论

学校读者我要写书评

暂无评论

Moving Object Tracking from Videos Based on Enhanced Space-Time-Range Mean Shift and Motion Consistency

Moving Object Tracking from Videos Based on Enhanced Space-T...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Tiesheng Wang Irene Y.H. Gu Andrew Backhouse Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden

Video surveillance and object tracking have drawn increased interests in recent years. This paper addresses the problem of moving object tracking from image sequences captured from stationary cameras. Based on the previous work on video segmentation using joint space-time-range mean shift, we extend the scheme to enable the tracking of moving objects. Large displacements of pdf modes in consecutive image frames are exploited for tracking. We also improve the above mean shift-based video segmentation by introducing edge-guided merging of over-segmented regions. This can be viewed as an extension of the enhanced mean shift 2D image segmentation in [2] to the enhanced space-time-range mean shift video segmentation. Experiments have been conducted on several indoor and outdoor videos. Our preliminary results and performance evaluation have indicated the effectiveness of the proposed scheme.

关键词： Tracking Videos image segmentation Merging Kernel Cameras Object detection Change detection algorithms image processing pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Local Structure Detection with Orientation-invariant Radial Configuration

Local Structure Detection with Orientation-invariant Radial ...

引用

Conference on Computer Vision and pattern recognition (CVPR)

作者： Lech Szumilas Rene Donner Georg Langs Allan Hanbury Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

Local image descriptors have proved themselves as useful tools for many computer vision tasks such as matching points between multiple images of a scene and object recognition. Current descriptors, such as SIFT, are designed to match image features with unique local neighborhoods. However, the interest point detectors used with SIFT often fail to select perceptible local structures in the image, and the SIFT descriptor does not directly encode the local neighborhood shape. In this paper we propose a symmetry based interest point detector and radial local structure descriptor which consistently captures the majority of basic local image structures and provides a geometrical description of the structure boundaries. This approach concentrates on the extraction of shape properties in image patches, which are an intuitive way to represent local appearance for matching and classification. We explore the specificity and sensitivity of this local descriptor in the context of classification of natural patterns. The implications of the performance comparison with standard approaches like SIFT are discussed.

关键词： Detectors Shape Computer vision Layout Object recognition

来源：评论

学校读者我要写书评

暂无评论

Comparative studies of Feature Extraction methods with application to face recognition

Comparative studies of Feature Extraction methods with appli...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Yunfei Jiang Ping Guo Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China

In face recognition, the dimensionality of raw data is very high, dimension reduction (feature extraction) should be applied before classification. There exist several feature extraction methods, commonly used are principle component analysis (PCA) and linear discriminant analysis (LDA) techniques. In this paper, we present a comparative study of some feature extraction methods for face recognition in the same conditions. The methods evaluated here include eigenfaces, kernel principal component analysis (KPCA), fisherfaces, direct linear discriminant analysis (D-LDA), regularized linear discriminant analysis (R-LDA), and kernel direct discriminant analysis (KDDA). For the purpose of comparison on feature extraction methods, we adopt nearest neighbor (NN) algorithm from existed classifiers of face recognition, since this classifier is common and simpleness. Empirical studies are conducted to evaluate these feature extraction methods with images from ORL Face Database, and it is found that in most cases LDA-based methods are efficient than PCA-based ones.

关键词： Feature extraction Face recognition Linear discriminant analysis Principal component analysis Kernel pattern recognition Nearest neighbor searches Neural networks Face detection image databases

来源：评论

学校读者我要写书评

暂无评论

Boosting discriminative model for moving cast shadow detection

引用

Jisuanji Xuebao/Chinese Journal of Computers 2007年第8期30卷 1295-1301页

作者： Zha, Yu-Fei Chu, Ying Wang, Xun Ma, Shi-Ping Bi, Du-Yan Signal and Information Processing Laboratory Engineering College Air Force Engineering University Xi'an 710038 China Key Laboratory for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

Moving cast shadow causes serious problem while segmenting and extracting foreground from image sequences, due to the misclassification of moving shadow as foreground. This paper proposes a Boosting discriminative model to eliminate cast shadow on Discriminative Random Fields (DRFs). The method combines different features for Boosting to discriminate cast shadow from moving objects, then temporal and spatial coherence of shadow and foreground are incorporated on Discriminative Random Fields and the problem can be solved by graph cut. Firstly, moving objects are obtained by background subtraction;secondly, shadow candidates can be derived through pre-processing moving objects, in terms of the shadow physical property;thirdly, color information and texture information is derived by comparing shadow and foreground points in current image with corresponding points in background image, which are selected as features for Boosting;finally, temporal and spatial coherence of shadow and foreground is employed on Discriminative Random Fields and discriminate shadow and foreground by graph cut accurately.

关键词： image processing

来源：评论

学校读者我要写书评

暂无评论

Normalized Linear Transform for Cross-Platform Microarray Data Integration

Normalized Linear Transform for Cross-Platform Microarray Da...

引用

International Conference on Machine Learning and Applications (ICMLA)

作者： Huilin Xiong Ya Zhang Xue-wen Chen Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Department of Electrical Engineering and Computer Science University of Kansas Lawrence KS USA

With microarray data being dramatically accumulated, integrating data from related studies represents a natural way to increase sample size so that more reliable statistical analysis may be performed. However, inherent variation among different microarray platforms makes the data integration not a trivial task. In this paper, we present a simple and effective integration scheme, called normalized linear transform (NLT), to combine data from different microarray platforms. The NLT scheme is compared with three other integration schemes for two tasks: classification analysis and gene marker selection. Our experiments demonstrate that the NLT scheme performs best in terms of classification accuracy under various classification settings, and leads to more biologically significant marker genes.

关键词： Costs Gene expression Support vector machines Support vector machine classification Machine learning Application software image processing pattern recognition Computer science Statistical analysis

来源：评论

学校读者我要写书评

暂无评论

A Multiphase Car-Following Model of Traffic Flow and Numerical Tests

A Multiphase Car-Following Model of Traffic Flow and Numeric...

引用

2007 IEEE International Conference on Automation and Lofistics

作者： Zhipeng Li Fuqiang Liu Yuncai Liu Department of Information and Communication Engineering Tongji University Shanghai 201804China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240

ISBN: (纸本)9781424415304

we present in this paper an empirical desired headway model for a single lane car-following theory based on the equation of motion of each *** this new model,traffic situation is suggested to be divided into car-following and free travel regions,and in car-following area the stimulus is a function of space difference between the current headway and the empirical desired headway with a constant *** investigate this model with numerical method and it demonstrates some complex physical features observed in real traffic such as existence of three phases:free,synchronized,and jam flow;spontaneous formation of traffic jams;sudden flow drop in flow- density plane;local cluster effects in synchronized regime;traffic hysteresis in transition between the free and the synchronized ***,the proposed model also predicts that in the synchronized flow regime there exists a unique stable state to relative density,which is insusceptible to noise.

关键词： car-following models inter-vehicle spacing traffic flow

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Approach Towards Vision Based Self-localization of Autonomous Mobile Robots

A Hybrid Approach Towards Vision Based Self-localization of ...

引用

International Conference on Machine Vision (ICMV 2007)

作者： Abdul Bais Robert Sablatnig Yahya M. Khawaja Ghulam M. Hassan Department of Computer Systems Engineering NWFP University of Engineering and Technology Peshawar Pakistan Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

This paper presents a hybrid approach towards self-localization of tiny autonomous mobile robots in a known but highly dynamic environment. The proposed algorithm is intended for two-wheeled differential drive robots which are equipped with a pivoted stereo vision system, two digital encoders, a gyro sensor, two 10g accelerometers and a magnetic compass. The global position of the robot can be estimated by extracting two distinct landmarks from the robot environment and measuring their range and orientation using the stereo vision system. However, distinct landmarks are not available through the entire state space and it is required to track the robot position once a global estimate is available. Tracking of the globally estimated position is performed within the framework of extended Kalman filter. Constant monitoring of the robot observation enables it to detect any unexpected situation. Simulation results show that robot can successfully localize itself at startup and is capable of detecting and recovering from localization failures.

关键词： Mobile robots Orbital robotics Robot sensing systems Robot vision systems Stereo vision Magnetic sensors Sensor systems Accelerometers Position measurement State-space methods

来源：评论

学校读者我要写书评

暂无评论

A Flexible Fully-Multiplicative Orthogonal-Group Based ICA Algorithm

A Flexible Fully-Multiplicative Orthogonal-Group Based ICA A...

引用

IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB)

作者： Yalan Ye Jing Wan Zhi-Lin Zhang Chen Jia Wu Lei School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China Institute of Image Processing and Pattern Recognition Shanghai JiaoTong University Shanghai China

In this paper, we propose a flexible fully-multiplicative orthogonal-group based ICA (FlexibleOgICA) algorithm, which can instantaneously separate the mixture of sub-Gaussian and super-Gaussian source signals. It adopts a self-adaptive nonlinear function, which adjusts its parameter to achieve better performance based on the estimation of the kurtosis of super-Gaussian source signals. We also have successfully applied the algorithm to obtain the fetal electrocardiogram (FECG) signal, showing its fast convergence speed and high separation performance

关键词： Independent component analysis Signal processing algorithms Convergence Computational intelligence Bioinformatics Computational biology Signal processing Multidimensional signal processing Biomedical signal processing Switches

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：