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Research on a novel restoration algorithm of turbulence-degraded images with alternant iterations

Journal of Systems Engineering and Electronics 2006年第3期17卷 477-482页

作者： Liu Chunsheng Hong Hanyu Zhang Tianxu Inst. for Pattern Recognition and AI State Key Laboratory of Image Processing and Intelligent Control Huazhong Univ. of Science and Technology Wuhan 430074 P. R. China

A new restoration algorithm based on double loops and alternant iterations is proposed to restore the object image effectively from a few frames of turbulence-degraded images, Based on the double loops, the iterative relations for estimating the turbulent point spread function PSF and object image alternately are derived. The restoration experiments have been made on computers, showing that the proposed algorithm can obtain the optimal estimations of the object and the point spread function, with the feasibility and practicality of the proposed algorithm being convincing.

关键词： turbulence-degraded image image restoration double loops alternant iterations.

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An eigentracking method based on singular value decomposition

Huazhong Ligong Daxue Xuebao/Journal Huazhong (Central China...

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Huazhong Ligong Daxue Xuebao/Journal Huazhong (Central China) University of Science and Technology 2001年第12期29卷 50-51+63页

作者： Ren, Xianyi Zhou, Xiao Zhang, Guilin Zhang, Tianxu Inst. for Pattern Recognition and AI HUST Wuhan 430074 China

In this paper, a new approach to track rigid objects is presented. The affine transformation method is built and extended. The matching problem which few parameters are used to represent the transformation between the image and the template is formulated. On the basis of the similarity measurement, a suitable template updating template strategy is proposed. By using these techniques to track objects over several long image sequences, the experimental results show that this image matching method can bear affine image motions and image distortion to some extent and the stability of the algorithm is improved greatly in this way.

关键词： Correlation tracking Image matching pattern recognition

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IP traceback method based on active defense

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2005年第3期33卷 36-38+59页

作者： Hu, Hanping Hou, Chengshuai Kong, Tao Zheng, Ying Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

By using a group of hash functions and the marking information, the major overlay routers cooperated with each other and accomplished IP traceback with security region as the basic unit. Because of the limited marking space, the digest information was split in the course of marking and XOR used to put the fragments of digest information together. This method reduced the rate of false positive and had an excellent capability of handling major DDoS attacks. This method has made the marking routes short and required less attack packets for traceback.

关键词： Security of data

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Moving object detection and tracking in video surveillance system

Moving object detection and tracking in video surveillance s...

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MIPPR 2009 - Automatic Target recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Li, Shanshan Wang, Yuehuan Xie, Wenhui Cao, Zhiguo State Key Lab. of Multi-spectral Information Processing Technology Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819478061

This paper presents solutions to some problems in real-time video surveillance system such as robust object detection in illumination mutation situation and merge/split event in multi-target tracking. We propose a new moving object detection approach. Our approach can handle the problems result from illumination sudden changes in real scene by combining Gaussian Mixture Model algorithm with temporal frame difference. For multi-target tracking, we use Mean Shift algorithm and introduce a "record" strategy to handle targets merge and split. Experimental results demonstrate the effectiveness of our proposed approach. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Target tracking

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Automatic 3-D building reconstruction method based on singular point detection of 2-D derived function

Automatic 3-D building reconstruction method based on singul...

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MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Hu, Bin Cao, Zhiguo Zheng, Yi State Key Lab. of Multi-spectral Information Processing Technology Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819478092

Automatic 3-D building reconstruction is the key technology of "digital city" construction, which can be widely used in urban planning and management. In this paper, we firstly analyze the disadvantages in traditional automatic building reconstruction methods, and then according to characteristics of complex buildings, which is multi-storey and non-flattopped, a new automatic building reconstruction method is proposed, which can solve the complex building reconstruction problem effectively and conveniently. The reconstruction experiments show that the proposed method has excellent universality, besides a small calculating amount compared with traditional methods. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Image reconstruction

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A preprocessing method based on non-subsampled contourlet transform

A preprocessing method based on non-subsampled contourlet tr...

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MIPPR 2009 - Automatic Target recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Wu, Bo Cao, Zhiguo Zheng, Yi Zhuo, Wen State Key Lab. of Multi-spectral Information Processing Technology Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819478061

This paper focuses on preprocessing methods for the infrared images. Due to noises, low contrast and local difference of materials, Forward-looking Infrared targets have a great difference of local gray levels. Such different gray levels add the difficulty of targets detection and may lead a decrease in accuracy and rate of detection in Gray-based template matching. To overcome the difficulty, we present a novel preprocessing method based on non-subsampled contourlet transform (NSCT) which is good at multi-direction and multi-scale. This method firstly do Non-subsampled contourlet transform to infrared images. The level of decomposition is decided by the size of the template which is considered as the basic structure and the directions of decomposition are chosen by the imaging angles. Then we reconstruct the image according to the coefficients of the decomposition. Experiments based on template matching in forward-looking infrared images show that the proposed preprocessing method based on NSCT can significantly improve the detection rate (DR) and the stability. Experimental results also show that our proposed method has better performance than some other preprocessing methods. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Contourlet transform

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Implementation of a DSP based real-time video monitoring system

Implementation of a DSP based real-time video monitoring sys...

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MIPPR 2009 - Automatic Target recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Xie, Wenhui Wang, Yuehuan Li, Shanshan Cao, Zhiguo State Key Lab. of Multi-spectral Information Processing Technology Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819478061

This paper presents an implementation of a real-time video surveillance system based on TMS320DM6437 DVDP (Digital Video Development Platform). We propose an improved motion detection method based on adaptive Gaussian Mixture Model. In tracking module, association matrix is built between two frames for targets association according to a kind of cost function of features. Besides, Mean Shift algorithm is used to predict targets' parameters, so target tracking can be maintained in the case of short-term loss. In the test scene, the system shows a satisfactory performance. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Target tracking

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The optimized parallel implementation for an improved fast correlation matching algorithm on multi-DSPs interconnected by FPGA

The optimized parallel implementation for an improved fast c...

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MIPPR 2009 - Medical Imaging, Parallel Processing of Images, and Optimization Techniques: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Wang, Hao Cao, Zhiguo Zhang, Zhenjun Zhang, Quan State Key Lab. of Multi-spectral Information Processing Technology Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819478085

Correlation match is widely used in the field of target recognition for its stability and adaptability, but traditional correlation matching does not meet the demand for real time performance. For this reason, this paper presents an improved recursive pyramid correlation image matching algorithm and accomplishes the algorithm's parallel implementation on Multi-DSPs interconnected by FPGA with using several effective optimization strategies. Moreover, we design detailed experiments which give a comparison of different matching speed using optimization methods step by step. The results prove that our system is the best optimum with high efficiency compared with conventional methods. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Field programmable gate arrays (FPGA)

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Joint distribution of nonsubsampled contourlet domain and its application to texture retrieval

Joint distribution of nonsubsampled contourlet domain and it...

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MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Zheng, Yi Cao, Zhiguo Zhuo, Wen Xiao, Yang State Key Lab. of Multi-spectral Information Processing Technology Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819478092

In this paper, the joint distribution of the Nonsubsampled Contourlet Transform coefficients is studied. It is found that the estimation of the joint distribution is implement impossible due to the complex of joint empirical distribution function and dependence of NSCT coefficient vector components. To distinguish different joint distributions of different images, the sample covariance matrix feature is proposed. The texture retrieval experiment is conducted in order to evaluate the performance of the sample covariance matrix feature. The result shows that the proposed feature is efficient in representing the texture and the difference of the joint distribution of the Nonsubsampled Contourlet Transform coefficients. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Image enhancement

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Analysis of matching algorithm for infrared images based on anisotropic diffusion equation

Analysis of matching algorithm for infrared images based on ...

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MIPPR 2009 - Automatic Target recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Yan, Ruicheng Cao, Zhiguo Li, Yukun State Key Lab. of Multi-spectral Information Processing Technology Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 Hubei China

ISBN: (纸本)9780819478061

We present an algorithm for infrared target recognition based on edge features, aiming to improve the performance of recognition within low contrast and low SNR infrared images. The main process including: using nonlinear anisotropic diffusion equation to smooth noise as preprocessing after enhancing the image contrast through equalizing the image gray-level histogram, so as to filter out noise as well as maintain edge and shape features;then considering the greater differences between the target template and the fragmentary edges extracted directly from infrared images, Otsu threshold segmentation algorithm is selected to extracted the region feature before we use Canny operator to extract target edge features;finally, we match the target edge template with infrared images to recognize the target, using Hausdorff distance as a matching measure. Through experiment on several infrared image sequences, the results show that comparing with other preprocessing algorithms, our method achieve better performance for target recognition. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Nonlinear equations

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