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An improved method for rigid translation motion artifact correction in magnetic resonance images

Journal of Test and Measurement technology 2005年第4期19卷 355-359页

作者： Gui, Zhi-Guo Shu, Hua-Zhong Wang, Shi-Jie Luo, Li-Min Lab. of Image Science and Technology Southeast University Nanjing 210096 China Dept. of Electronic Information Engineering North University of China Taiyuan 030051 China

During a magnetic resonance imaging (MRI) examination patient motion causes motion artifacts, resulting in a degraded image. As a result, artifact caused by patient motion may strongly affect the detection of pathological findings. An improved post-processing technique is developed to remove MRI artifact arising from rigid translation motion: First, the spectrum shift method is applied to remove phase-encoded direction translation motion. Then, a fuzzy model is created to represent the image background region and suppress it. A ROS (region of support) is specified using morphological method. Finally, according to the criterion of entropy in the imaging field, the phase retrieval method is employed to eliminate the remaining sub-pixel motion of the read-out axis and the entire motion of the phase-encoding axis. Experiments show that using the method can remove the artifact due to the rigid translation motion in the imaging plane.

关键词： Magnetic resonance imaging

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Two new algorithms for fast computation of Legendre moments

Two new algorithms for fast computation of Legendre moments

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Visual Communications and image Processing 2003

作者： Qin, Lei Shu, Huazhong Jin, Fenghua Toumoulin, Christine Luo, Limin Lab. of Image Science and Technology Southeast University Nanjing 210096 China Lab. of Signal and Image Processing University of Rennes I Rennes 35042 France

Orthogonal moments have been successfully used in the field of pattern recognition and image analysis. However, due to the complexity in their calculation, the problem of fast computation of orthogonal moments has not till now been well solved. This paper presents two fast and efficient algorithms for the two dimensional (2D) Legendre moment computation. They are based on a block representation of the image and respectively use cumulative and integral methods. Results on 2D binary images show that these algorithms can decrease the computational complexity in a very important way.

关键词： image processing

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Autonomous optical navigation for interplanetary exploration based on information of earth-moon

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Journal of Harbin Institute of technology(New Series) 2003年第3期10卷 343-348页

作者：吴伟仁田玉龙黄翔宇 Institute for Pattern Recognition and Artificial Intelligence State Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China Deep Space Exploration Research Center Harbin Institute of Technology Harbin 150001 Chinahe image elements of earth-center and moon-center are obtained by processing the images of earth and moon these image elements in combination with the inertial attitude information and the moon ephemeris are utilized to obtain the probe initial position relative to earth and the Levenberg-Marquardt algorithm is used to determine the accurate probe position relative to earth and the probe orbit relative to earth is estimated by using the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simulation.

The image elements of earth-center and moon-center are obtained by processing the images of earthand moon, these image elements in combination with the inertial attitude information and the moon ephemerisare utilized to obtain the probe initial position relative to earth, and the Levenberg-Marquardt algorithm is usedto determine the accurate probe position relative to earth, and the probe orbit relative to earth is estimated by u-sing the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simu-lation.

关键词： autonomous optical navigation interplanetary exploration Levenberg-Marquardt algorithm

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Integer Haar wavelet for romote sensing image compression 6

Integer Haar wavelet for romote sensing image compression

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6th International Conference on Signal Processing, ICSP 2002

作者： Zhenhua, Wang Hongbo, Xu Yan, Tian Jinwen, Tian Jian, Liu State Key Lab. for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan430074 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 integer Haar Wavelet Transform and block DPCM is proposed. The scheme can be easily designed for data processing in real-time system of remote sensing with parellel algorithm. Simulation experimental results demonstrate that the proposed approach is a efficient image compression method. © 2002 IEEE.

关键词： image compression

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Text Scanner with text detection technology on image sequences

Text Scanner with text detection technology on image sequenc...

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作者： Jung, Keechul Kim, Kwang In Kurata, Takeshi Kourogi, Masakastu Han, JungHyun Pattern Recognition and Image Processing Lab. Michigan State Univerisity United States Artificial Intelligence Lab. KAIST Korea Republic of National Institute of Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron. To provide enhanced resolution of the extracted text images, we perform the text detection process after generating a mosaic image in a fast and robust image registration method. © 2002 IEEE.

关键词： Text processing

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Text scanner with text detection technology on image sequences

Text scanner with text detection technology on image sequenc...

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16th International Conference on Pattern Recognition, ICPR 2002

作者： Jung, Keechul Kim, Kwang In Kurata, Takeshi Kourogi, Masakastu Han, Junghyun Pattern Recognition and Image Processing Lab. Michigan State Univerisity United States Artificial Intelligence Lab. KAIST Korea Republic of National Institute of Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

ISBN: (纸本)0769516963

关键词： image enhancement

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SEGMENTATION OF RANGE image BASED ON KOHONEN NEURAL NETWORK

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Journal of Electronics(China) 2001年第3期18卷 237-241页

作者： Zou Ning Liu Jian Zhou Manli Li Qing(State Education Commission Res. lab. for image Processing & Intelligent Control. Electronic & Information Engineering Dept., Huazhong University of science & technology. Wuhan 430074) State Education Commission Res. Lab. for Image Processing & Intelligent Control Electronic & Information Engineering Dept. Huazhong University of Science & Technology Wuhan

This paper presents an unsupervised range image segmentation based on Kohonen neural network. At first, the derivative and partial derivative of each point are calculated and the normal in each points is gotten. With the character vectors including normal and range value, self-organization map is introduced to cluster. The normal analysis is used to eliminate over-segmentation and the last result is gotten. This method avoid selecting original seeds and uses fewer samples, moreover computes rapidly. The experiment shows the better performance.

关键词： Range image Segmentation Kohonen neural network Merge

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Efficient method for computation of Legendre moments

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Graphical Models 2000年第4期62卷 237-262页

作者： Shu, Huazhong Luo, Limin Bao, Xudong Yu, Wenxue Han, Guoniu Lab. of Image Science and Technology Department of Biomedical Engineering Southeast University Nanjing 210096 China

The two-dimensional (2D) and three-dimensional (3D) orthogonal moments are useful tools for 2D and 3D object recognition and image analysis. However, the problem of computation of orthogonal moments has not been well solved because there exist few algorithms that can efficiently reduce the computational complexity. As is well known, the calculation of 2D and 3D orthogonal moments by a straightforward method requires a large number of additions and multiplications. In this paper, an efficient algorithm for computing 2D and 3D Legendre moments is presented. First, a new approach is developed for computing Legendre polynomials with one variable;the corresponding results are then used to calculate 1D Legendre moments. Second, we extend our method to calculating 2D Legendre moments, a more accurate approximation formula when an analog original image is digitized to its discrete form is also discussed, and the relationship between the usual approximation and the new approach is investigated. Finally, an efficient method for computing 3D Legendre moments is developed. As one can see, the proposed algorithm improves the computational efficiency significantly and can be implemented easily for high order of moments.

关键词： Three dimensional computer graphics

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Human computer interface for gesture-based editing system

Human computer interface for gesture-based editing system

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10th International Conference on image Analysis and Processing, ICIAP 1999

作者： Yoon, Ho-Sub Min, Byung-Woo Soh, Jung Bae, Young-Iae Yang, Hyun Seung Image Processing Div. Computer Software Technology Lab. in ETRI 161 Kajung-Dong Yusung-Ku Taejon 305-350 Korea Republic of Department of Computer Science Korea Advanced Institute of Science and Technology 373-1 Kusung-Dong Yusung-Ku Taejon 305-701 Korea Republic of

ISBN: (纸本)0769500404

The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). Many methods for hand gesture recognition using visual analysis have been proposed such as syntactical analysis, neural networks (NN), hidden Markov models (HMM) and so on. In our research, a HMM is proposed for alphabetical hand gesture recognition. In the preprocessing stage, the proposed approach consists of three different procedures for hand localization, hand tracking and gesture spotting. The hand location procedure detects the candidated regions on the basis of skin-color and motion in an image. The hand tracking algorithm finds the centroid of a moving hand region, connects those centroids, and thus, produces a trajectory. The spotting algorithm divides the trajectory into real and meaningless gestures. In constructing a feature database, the proposed approach uses the location, angle and velocity feature code, and employ a k-means algorithm for the codebook of the HMM. In our experiments, 2400 trained gestures and 2400 untrained gestures are used for training and testing, respectively. Those experimental results demonstrate that the proposed approach yields a higher and satisfying recognition rate with various gestures. © 1999 IEEE.

关键词： Hidden Markov models

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A Region-Based Representation of images in MARS

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Journal of VLSI Signal Processing Systems for Signal, image, and Video technology 1998年第1-2期20卷 137-150页

作者： Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S

We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propose new image coding techniques which combine a wavelet representation, embedded coding of the wavelet coefficients, and segmentation of image-domain regions in the wavelet domain. A bitstream is generated in which each image region is encoded independently of other regions, without having to explicitly store information describing the regions. Simulation results show that our proposed algorithms achieve coding performance which compares favorably, both perceptually and objectively, to that achieved using state-of-the-art image/video coding techniques while additionally providing region-based support.

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