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International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Bo-Xin Zuo Jin-Wen Tian De-Lie Ming State Key Laboratory of Education Commission for Image Processing and Intelligent Control Institute For Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

In this paper, we presented a ringing metric to evaluate the quality of images restored using iterative image restoration algorithms. A ringing metrics is used to assessment the restored images based on the Gabor filter. The experimental results validate the proposed method perform well over a wide range of restoration image ringing levels assessment. And the proposed model has given good agreement with observer ratings obtained in subjective experiments.

关键词： image restoration Gabor filters image edge detection Oscillators Deconvolution Maximum likelihood detection Band pass filters

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The Application of A Novel Target Region Extraction Model Based on Object-Accumulated Visual Attention Mechanism

The Application of A Novel Target Region Extraction Model Ba...

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International Conference on Natural Computation (ICNC)

作者： Jie Xiao Chao Cai Mingyue Ding Chengping Zhou Institute of Pattern Recognition and Artificial Intelligence State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

Combining bottom-up and top-down attention influences, a novel region extraction model which based on object-accumulated visual attention mechanism is proposed in this paper. Compared with early research, the new approach brings in prior information at the proper time, updates scan path dynamically, needs less computational resources and reduces the probability to direct the attention to a less-meaning area. The application to search an airport target in remote sensing image was provided, through which the novel mechanism that how visual attention chose the area was described. Compared with another two region extraction models, experimental results confirm the effectiveness of the approach proposed in this paper.

关键词： Data mining Object detection Computer applications Chaos Pattern recognition Artificial intelligence Laboratories image processing intelligent control Airports

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Dim small targets fusion detection in infrared image

Dim small targets fusion detection in infrared image

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yu-Qiu Sun Yu Zheng Jin-Wen Tian Jian Liu School of Information and Mathematics Yangtze University Jingzhou China State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China State Education Commission Key Laboratory for Image Processing and Intelligent Control Department of Electronic Information and Enginery of Huazhong University of Science and Technology Wuhan China

To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in infrared images are man-made, and their fractal dimension is different comparing with natural background. In wavelet transformation domain high-frequency part, we calculate local fractal dimension and set up fusion rule to merge corresponding sub-images of two matching source images. In low-frequency, we extract local maximum gray level to fuse them. Then reconstruct image by wavelet inverse transformation and obtain fused result image. In fusion results, the contrast between targets and background has obvious changes. And targets can be detected using contrast threshold. The experimental results show that the method proposed in this paper using wavelet transformation fractal dimension to fuse dual band infrared images, and then detect targets is better than using mid-wave or long -wave infrared images detect targets alone.

关键词： Fractals Wavelet transforms Pixel Object detection Fuses Approximation methods Manganese

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Temporal pattern recognition using spiking neural networks for cortical neuronal spike train decoding

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IFAC Proceedings Volumes 2008年第2期41卷 5203-5208页

作者： Huijuan Fang Yongji Wang Jiping He Shan Liu Key Laboratory for Image Processing and Intelligent Control of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China (Tel: 86-27-87557284 The Harrington Department of Bioengineering and the Center for Neural Interface Design of The Biodesign Institute Arizona State University Tempe AZ 85287 USA

Most experimental and decoding algorithm studies of brain neural signals assume that neurons transmit information as a rate coding, but recent studies on the fast cortical computations indicate that temporal coding is probably a more biologically plausible scheme used by neurons. We introduce spiking neural networks (SNN) which consist of spiking neurons propagate information by the timing of spikes to analyze the cortical neural spike trains directly without temporal information lost. The SNN based temporal pattern classification is compared with the conventional artificial neural networks (ANN) based firing rate analysis. The results show that the SNN algorithm can achieve higher accuracy, which demonstrates that temporal coding is a viable code for fast neural information processing and the SNN approach is suitable for recognizing the temporal pattern in the cortical neural signals.

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Data Fusion and Efficient Algorithm for Moving Target Tracking

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IFAC Proceedings Volumes 2008年第2期41卷 2406-2411页

作者： Guocheng Liu Yongji Wang Chinese Education Ministry Key Lab. for Image Processing and Intelligence Control Department of Control Science and Engineering Huazhong University of Science and Technology P.R. China (Tel: 0086-27-68772267

The principle of target tracking and data fusion techniques are discussed. To resolve high uncertainty that exists in sensors of mobile robots, one multi-sensor data fusion algorithm is presented. The algorithm is based on particle filter techniques, fuses the information coming from multiple sensors and merges different state space models. So it can be used to eliminate system and measurement noise and estimate value of position and headings of mobile robot. On simulation experiments, we compare different cases such as single sensors and multi-sensor data fusion, the results demonstrate the feasibility and effectiveness of this algorithm and exhibits good tracking performance.

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An Improved Landweber Method for Restoration of Aero-Optically Degraded images

An Improved Landweber Method for Restoration of Aero-Optical...

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International Conference on Computer Science and Software Engineering

作者： Wenxia Yang Chao Cai Mingyue Ding Chengping Zhou Key Laboratory for Image Processing and Intelligence Control of the Ministry of Education Institute of IPRAI Huazhong University of Science and Technology Wuhan China Department of Mathematics Wuhan University of Technology Wuhan China

ISBN: (纸本)9781424439027

Aero-optic effects cause distortions, including blurring, vibration, deformation and spatial shifting, of the objects in the image obtained by the infra-red sensor. Contributions of this paper are in the following two aspects. First, the correctness of the theoretical point spread function (PSF) representing the aero-optic effects, which had been derived in our previous research, is validated experimentally. Second, in order to restore the aero-optically degraded images, an improved Landweber iteration method is proposed, where, instead of being fixed, the relaxation factor is updated adaptively at each iteration. Experiments have been carried out and results demonstrate that the proposed method introduces improved restoration results with better convergence.

关键词： image restoration Degradation Infrared imaging Aircraft educational technology Infrared sensors Computer science Software engineering Chaos Laboratories

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An Improved Adaptive Exponential Smoothing Model for Short-term Travel Time Forecasting of Urban Arterial Street

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自动化学报 2008年第11期34卷 1404-1409页

作者： LI Zhi-Peng YU Hong LIU Yun-Cai LIU Fu-Qiang Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 P.R. China Intelligent Transportation System Department Shanghai Electrical Apparatus Research Institute Shanghai 200063 P. R. China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 P. R. China

旅行时间的短期的预报为聪明的交通系统的成功是必要的。在这份报纸，我们考察预报模型的短期的交通的 state-of-art 并且构画出他们每个模型的基本想法，相关工作，优点和劣势。一改进适应指数的变光滑(IAES ) 模型也被建议克服以前的... 详细信息

旅行时间的短期的预报为聪明的交通系统的成功是必要的。在这份报纸，我们考察预报模型的短期的交通的 state-of-art 并且构画出他们每个模型的基本想法，相关工作，优点和劣势。一改进适应指数的变光滑(IAES ) 模型也被建议克服以前的适应指数的变光滑模型的缺点。然后，比较实验在状况和反常交通调节评估在牌照匹配获得的直接旅行时间数据(每分钟行数) 上预报模型的四个主要分支的性能的正常交通下面被执行。实验的结果证明每个模型似乎有它的自己的力量和软弱。IASE 的预报表演比在更突然预报地平线(预报的和二步) 的另外的模型优异， IASE 能够处理各种交通条件。

关键词：自适应指数平滑模型短期旅行时间预测预测方法信息处理技术城市街道设计方案

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Verification of controller Synthesis Based on Completely Specified Finite State Machine

Verification of Controller Synthesis Based on Completely Spe...

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International Symposium on Information Science and Engineering, ISISE

作者： Wei Li Yichao Zhang Zhengyi Liu Jianguo Wu Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China Anhui University Hefei Anhui CN

controller synthesis uses hardware description language and synthesis optimization tools from a higher abstract level. State transition graph of completely specified finite state machine is adopted to describe the behavior of controller. State transition graph STG_org was generated before synthesized and state transition graph STG_ext was reversely extracted from structure realization of controller synthesis. If STG_org and STG_ext were equivalent then corresponding process of controller synthesis was correct. The paper gives a formal verification algorithm of controller synthesis with time complexity O(B 2 /Aldrt 1 (n)+A ldr t 2 (m,n)) .In order to further improve time complexity of algorithm, a verifying algorithm with synthetic information guidance was proposed. The algorithm is proved efficient in theory for its time complexity is decreased to O(Bldrt 1 (n) + Aldrt 2 (m,n)).

关键词： Automata Circuit synthesis Signal processing algorithms Sequential circuits Signal synthesis Hardware design languages Process control Formal verification control system synthesis Combinational circuits

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A parallel sampling scheme for ultra-wideband signal based on the random projection

A parallel sampling scheme for ultra-wideband signal based o...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Guangming Shi Zhe Liu X.Y. Chen L.J. Wang Key Laboratory of Intelligent Perception & Image Understanding of Ministry of Education Xidian University Xi'an China School of Science Northwestern Polytechnical University Xi'an China

High-rate analog-to-digital converters (ADC's) are ubiquitous and critical components in advance signal processing, such as software radio and ultra wideband (UWB) radar system. In this paper, we propose an alternative parallel sampling scheme, which is based on random projection, for an ultra- wideband analog to digital conversion. The sampling rate by using proposed scheme can be reduced to 1/m Nyquist sampling rate where m is the number of parallel channel. Compared with conventional ADCs based on pulse code modulation (PCM), the proposed method makes the sub-Nyquist sampling possible. And compared with other parallel sampling scheme methods, it can be easy implemented without any apriori knowledge about the signal. And it is very suitable for sampling UWB signals with short time support. Additionally, the detail implementation structure, performance analysis and simulation results of proposed method are given.

关键词： Sampling methods Ultra wideband technology Signal sampling Analog-digital conversion Radar signal processing Pulse modulation Software radio Ultra wideband radar Modulation coding Phase change materials

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A compressive sensing approach of multiple descriptions for network multimedia communication

A compressive sensing approach of multiple descriptions for ...

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IEEE Workshop on Multimedia Signal processing

作者： Liangjun Wang Xiaolin Wu Guangming Shi Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University China Department of Electrical & Computer Engineering McMaster University Canada

ISBN: (纸本)9781424422944;9781424422951

A new multiple description coding (MDC) approach is proposed based on the theory of compressive sensing (CS). The CS theory allows a signal to be reconstructed from a small number of its random measurements if the signal is sparse in some space. An attractive property of CS for MDC applications is that the reconstruction error only depends on the number but not on which of the transmitted measurements that are received. By treating each CS measurement as a description, we have a balanced MDC scheme with fine description granularity and low encoding complexity. Another advantage of the new MDC approach is that all signals can be coded the same but decoded in different spaces for better sparse reconstruction.

关键词： image reconstruction Decoding Loss measurement Multimedia communication image coding Encoding Measurement uncertainty

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