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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hai-Hui Wang Jia-Xiong Peng Wei Wu State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)0780378652

image fusion refers to the techniques that integrate complementary information from multiple image sensor data such that the new images are more suitable for the purpose of human visual perception and the compute processing tasks. In this paper, a new image fusion algorithm based on wavelet packet transform to fuse multisensor images is presented. Discrete wavelet transform (DWT) can offer a more precise way for image analysis, than other multi-resolution analysis. It decomposes an image into low frequency band and high frequency band in different level, and it can also be reconstructed gradually in different level. But this method only decomposes low frequency band in a higher scale, so that it omits some useful details of the images. In this paper, we present a new image fusion algorithm. In the algorithm, we use discrete wavelet packet transform (DWPT) to decompose and reconstruct the images. When images are merged in wavelet packet space, different frequency ranges are processed differently. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. This image fusion is performed at the pixel level. In this fusion algorithm, a feature-based fusion rule is used to combine original subimages and to form a pyramid for the fused image. Through merging remote sensing images from multi-sensor to a same object by applying method of wavelet packet analysis, we have obtained a fused picture. In this paper, mutual information is employed as a means of objective assessing image fusion performance. The experiment results show that this fusion algorithm, based on wavelet packet transform, is an effective approach in image fusion area.

关键词： Remote sensing Discrete wavelet transforms Wavelet packets image fusion Frequency image analysis Wavelet analysis image reconstruction image sensors Humans

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Modeling effects of velocity overshoot in extremely scaled MOSFETs

Modeling effects of velocity overshoot in extremely scaled M...

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IEEE Conference on Electron Devices and Solid-State Circuits

作者： J. Tong X. Zou J.P. Xu X.B. Shen Center for IC Design State Key Laboratory for Image Processing and Intelligence Control Department of Electronic Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)0780377494

A physical model of velocity-overshoot of hot-carriers based on the balanced equation of energy is developed and implemented in MOSFET models. Derived from the Boltzmann equation, a simple analytic simulation model can be put into the BSIM3 simulation model. There are better identical verifications among the model of velocity overshoot, standard BSIM3 model (not including effects of velocity overshoot) and real device data.

关键词： MOSFETs Temperature Hot carriers Circuit simulation Electrons Boltzmann equation MOS devices Physics Analytical models Scattering

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Multiclass segmentation based on generalized fuzzy Gibbs random fields

Multiclass segmentation based on generalized fuzzy Gibbs ran...

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IEEE International Conference on image processing

作者： Yazhong Lin Wufan Chen F.H.Y. Chan Key Laboratory for Medical Image Processing First Military Medical University Guangzhou China Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong China

The model of Gibbs random fields is widely applied to Bayesian segmentation due to its best property of describing the spatial constraint information. However, the general segmentation methods, whose model is defined only on hard levels but not on fuzzy set, may come across a lot of difficulties, e.g., getting the unexpected results or even nothing, especially when the blurred or degraded images are considered. In this paper, two multiclass approaches, based on the model of piecewise fuzzy Gibbs random fields (PFGRF) and that of generalized fuzzy Gibbs random fields (GFGRF) respectively, are presented to address these difficulties. In our experiments, both magnetic resonance image and simulated image are implemented with the two approaches mentioned above and the classical "hard" one. These three different results show that the approach of GFGRF is an efficient and unsupervised technique, which can automatically and optimally segment the images to be finer.

关键词： image segmentation Bayesian methods Satellites Biomedical image processing Biomedical imaging Biomedical engineering Fuzzy sets Degradation Magnetic resonance Layout

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Monitoring of desertification in central Asia and western China using long term NOAA-AVHRR NDVI time-series data

Monitoring of desertification in central Asia and western Ch...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： A.X. Liu Z.J. Liu C.Y. Wang Z. Niu D.M. Yan Key Laboratory of Remote Sensing Information Sciences Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China Department of Image Processing Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China

Taking place and development of desertification in the arid and semiarid regions directly influence the density and growth status of vegetation, making surface vegetation a most important indicator for desertification assessment. The primary purpose of this study was to assess the condition of desertification in central Asia and western China located in arid and semiarid regions. Remote sensing data used in this study were a time-series of 10-day maximum Normalized Difference Vegetation Index (NDVI) composites derived from Global Area Coverage of Advanced Very High Resolution Radiometer (AVHRR) from 1982 to 2000. The coefficient of variation (CoV) of the monthly NDVI (maximum-value composite) was used as a parameter to characterize the changes of vegetation in this work. The CoV can be used to compare the amount of variation in different sets of sample data. Changes in the value of the pixel-level CoV over time can be interpreted as a measure of vegetative biomass change over that time. The method to detect and quantify changes in CoV values for each pixel over a 20-year period for which data were available is based on linear regression. If the CoV values exhibit a statistically significant decrease over time, it is possible to conclude that the area imaged in that pixel is under desertification. The result was validated by comparison of the theoretical results to land cover maps in different years. This experiment demonstrated the feasibility of applying the CoV regression methodology and long term NOAA-AVHRR NDVI time-series data for desertification monitoring in central Asia and western China.

关键词： Asia Vegetation mapping Remote monitoring Biomass Content addressable storage Remote sensing Degradation Laboratories image processing Radiometry

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Speech extraction based on ICA and audio-visual coherence

Speech extraction based on ICA and audio-visual coherence

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International Symposium on Signal processing and Its Applications (ISSPA)

作者： D. Sodoyer L. Girin C. Jutten J.-L. Schwartz Speech Communication Institute (ICP) CMS UMR 5009 INPG Université Stendhal Grenoble France Speech Communication Institute (ICP) CNRS UMR 5009 INPG Université Stendhal Grenoble France Image and Signal Processing Laboratory (LIS) CNRS UMR 5083. INPG UJF Grenoble France

We present a new approach to the source separation problem for multiple speech signals. Using the extra visual information of the speaker's face, the method aims to extract an acoustic speech signal from other acoustic signals by exploiting its coherence with the speaker's lip movements. We define a statistical model of the joint probability of visual and spectral audio input for quantifying the audio-visual coherence. Then, separation can be achieved by maximising this joint probability. Experiments on additive mixtures of 2, 3 and 5 sources show that the algorithm performs well, and systematically better than the classical BSS algorithm JADE.

关键词： Independent component analysis Source separation Finite impulse response filter Speech enhancement Filter bank Laboratories Data mining Coherence Probability Additive noise

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An Evolutionary Real-Time 3D Route Planner for Aircraft

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Chinese Journal of Systems Engineering and Electronics 2003年第1期000卷

A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candidates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By using problem-specific chromosome structure and genetic operators, the routes are generated in real time,with different mission constraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving angle and route distance constraint taken into account.

关键词： Evolutionary computation Route planning Route constraints Real time Aircraft

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Improvement and invariance analysis of Zernike moments 1

Improvement and invariance analysis of Zernike moments

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1st International Conference on communications, Circuits and Systems, ICCCAS 2002

作者： Bin, Ye Xiong, Peng Jia State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)0780375475

An improved Zernike moment using a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than the unimproved Zernike moment using a region-based shape descriptor. © 2002 IEEE.

关键词： image enhancement

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A new approach to extract rectangle building from aerial urban images 6

A new approach to extract rectangle building from aerial urb...

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6th International Conference on Signal processing, ICSP 2002

作者： Tao, Wen-Bing Tian, Jin-Wen Liu, Jian State Key Laboratory for Image Processing and Intelligence Control Hubei Wuhan430074 China Institute for Pattern Recognition and Artificial Intelligence HUST Hubei Wuhan430074 China

ISBN: (纸本)0780374886

In this paper, we proposed a new Primitive-Structure- Based approach for extracting rectangle building from aerial urban images. We obtain all kinds of primitive-structure that compose rectangle by analysing geometrical primitive structure from the straight-line-graph that has been produced by edge- Detection and contour-tracking and straight-line-splitting, then merge these primitive structure to rectangle through the merging arithmetic. The experimental results show that the approach is times computationally faster than the previous methods. The results of performance assessment also support the robustness and precision of the approach developed. © 2002 IEEE.

关键词： Merging

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Object based video watermarking scheme using inertia ellipse and shape adaptive DCT 5

Object based video watermarking scheme using inertia ellipse...

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2002 5th IEEE Workshop on Multimedia Signal processing, MMSP 2002

作者： Jie, Guo Peng-Fei, Shi Tao, Fang Institute of Image Processing and Pattem Recognition Shanghai Jiaotong University Shanghai200030 China State Key Laboratory of Information Security Chinese Academy of Sciencer Beijing100039 China

ISBN: (纸本)0780377133

Video object (VO) is an important concept in MPEG-4. For objects can be easily manipulated without visible distortion, the copyright protection of video objects becomes an important issue. This paper presents a watermarking scheme for video objects. Different from other methods, the proposed scheme employed inertia ellipse to achieve fast synchronization recovery in case the object was manipulated. Shape adaptive DCT and visual mask were combined to embed the watermark into the arbitrarily shaped object, which was designed to achieve the trade-off between the invisibility and the robustness. Experiments show that our algorithm is robust to object manipulations such as rotations, translations, scaling and lossy compression. Our scheme can be easily incorporated into the object-based coding framework of MPEG-4. © 2002 IEEE.

关键词： Motion Picture Experts Group standards

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Integer Haar wavelet for remote sensing image compression

Integer Haar wavelet for remote sensing image compression

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International Conference on Signal processing Proceedings (ICSP)

作者： Wang Zhenhua Xu Hongbo Tian Yan Tian Jinwen Liu Jian Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Image Processing and Intelligent Control Huazhong University of science and Technology Wuhan China

ISBN: (纸本)0780374886

With the development of remote sensing technique, onboard data compression has become an urgent need and a lot of study has been directed toward the development of efficient techniques. In this paper, the construction approach of integer Haar is discussed briefly, and a simple image compression scheme based on the integer Haar wavelet transform and block DPCM is proposed. The scheme can be easily designed for data processing in real-time systems of remote sensing with parallel algorithms. Simulation experimental results demonstrate that the proposed approach is a efficient image compression method.

关键词： image coding Remote sensing Wavelet transforms Frequency Data compression image reconstruction Pattern recognition Artificial intelligence image processing Intelligent control

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