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International Journal of Digital Content Technology and its Applications 2011年第11期5卷 126-133页

作者： Zhou, Hua Ding, Mingyue Cai, Chao The Institute for Pattern Recognition and Artificial Intelligence National Key Laboratory of Science and Technology on Multi-spectral Information Processing Huazhong University of Science and Technology China School of Life Science and Technology Key Laboratory of Education Ministry for Imaging Processing and Intelligence Control Huazhong University of Science and Technology China

Tangent distance measures image similarity in a manifold way and is specific for handwritten digit recognition. However, in tangent distance metric the transformation should be known a priori and nonlinear manifolds are only approximated by first-order tangent hyperplanes. We propose a new image distance metric - the high-order approximated manifold distance (HMD) which can overcome these defects. The intrinsic variables of image transformation are learned by a special manifold learning algorithm - Maximum Variance Unfolding (MVU). Then nonlinear manifold is approximated by curve surface based on higher-order Taylor expansion with respect to intrinsic variables. HMD is defined as the minimum distance between the approximated curved surfaces of manifolds, and can be directly utilized in distance-based classifiers for image recognition. A series of face recognition and handwritten digit recognition experiments demonstrate that HMD not only achieves higher recognition accuracy but also has more stability of classification than several state-of-the-art distance metrics.

关键词： Face recognition

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Research on Fuzzy Enhancement in the Diagnosis of Liver Tumor from B-mode Ultrasound images

Research on Fuzzy Enhancement in the Diagnosis of Liver Tumo...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Wu Qiu Rui Wang Feng Xiao Mingyue Ding School of Life Science and Technololgy Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan Hubei China

Fuzzy enhancement is applied in computer aided diagnosis of liver cancer from B mode ultrasound images as a pre-processing procedure in this paper. It was evaluated with three classifiers including K means, back propagation neural network and support vector machine using 25 features from first order statistic (FOS), gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), Grey level dependant matrix (GLDM) and LAWS. In the analysis of 166 normal liver tissue, 30 hemangioma and 60 malignant tumor, our method improved the classification accuracy of three classifiers (K means, BP neural network and support machine vector) in distinguishing liver cancer, hemangioma and normal liver cancer from B mode ultrasound images. It is proved that fuzzy enhancement as an efficient preprocessing procedure could be used in the computer aided diagnosis system of liver cancer.

关键词： Liver Cancer Ultrasonic imaging Feature extraction Artificial neural networks Accuracy Support vector machines

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Super-resolution for Depth Maps

Super-resolution for Depth Maps

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2011 International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Cihui Yang Hong Liu Richard Green Enmin Song Meng Fan School of Computer Science and Technology Huazhong University of Science and Technology Key Laboratory of Education Ministry for Image Processing and Intelligent Control The Computer Science department University of Canterbury

ISBN: (纸本)9781612848334

Although time of flight (TOF) cameras are becoming more popular, their low spatial resolution limits their usefulness. In this paper, we propose two new super-resolution methods to improve the resolution of depth maps generated by TOF cameras. One is based on the Lucas Kanade (LK) optical flow algorithm, and another is based on the scale-invariant feature transform (SIFT) algorithm. The results show that the proposed LK optical flow based method is more accurate and efficient in improving the spatial and depth resolution of depth maps than the proposed SIFT based method. It is more useful for real-time processing of depth images.

关键词： Super-resolution depth map Lucas Kanade optical flow SIFT

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Global asymptotic stability of fuzzy cellular neural networks with unbounded time-varying delays

Global asymptotic stability of fuzzy cellular neural network...

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International Conference on Information Science and Technology (ICIST)

作者： Chongjun Zhu Gang Bao College of Mathematics and Statistics Hubei Normal University Huangshi China Department of Control Science and Engineering Key Laboratory of Image Processing Intelligent Control of Education Ministry China Wuhan Hubei China

The global asymptotic stability of fuzzy cellular neural networks with unbounded time-varying delays and Lipschitz continuous activation functions is investigated in this brief. Based on the concept of comparison, som... 详细信息

ISBN: (纸本)9781424494408

关键词： Delay Asymptotic stability Cellular neural networks Circuit stability Artificial neural networks Stability analysis Circuits and systems

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Ultrasound Carotid Artery Intima-Media Thickness (IMT) Segmentation Review

Ultrasound Carotid Artery Intima-Media Thickness (IMT) Segme...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Xin Yang Jiaoying Jin Ming Yuchi Mingyue Ding State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence (IPRAI) Huazhong University of Science and Technology HUST Wuhan Hubei China Image Processing and Intelligence Control Key Laboratory of Education Ministry of China School of Life Science and Technology Huazhong University of Science and Technology HUST Wuhan Hubei China

Stroke and heart attack, which could be led by a kind of cerebrovascular and cardiovascular disease named asatherosclerosis, would seriously cause human morbidity and mortality. And the carotid artery of intima-media thickness (IMT) is a key indicator to the disease. With the development of computer assisted diagnosis (CAD) technology, Ultrasound imaging, being real-time, economic, reliable, safe, and now seems to become a standard in vascular assessment methodology especially for the measurement of IMT. This review is an attempt to discuss the clinical relevance of measurements in clinical practice at first, and then followed by the challenges that one has to face when approaching the segmentation of ultrasound images. Secondly, the paper is presentation of common used methods for the IMT segmentation and measurement. An overview of summary and future perspectives is given in conclusion finally.

关键词： Ultrasonic imaging image segmentation Carotid arteries Ultrasonic variables measurement Biomedical imaging

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Automatic Detection of the Intima-Media Layer in Ultrasound Common Carotid Artery image Based on Active Contour Model

Automatic Detection of the Intima-Media Layer in Ultrasound ...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Jiaoying Jin Mingyue Ding Xin Yang Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Life School of Science and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence(IPRAI) Life School of Science and Technology Huazhong University of Science and Technology Wuhan China

The analysis of the carotid artery wall is of paramount importance in clinical practice. Especially, the intima-media thickness is a risk index for some of the most severe acute cerebrovascular pathologies, hence, an accurate segmentation of the different layers of the carotid artery is needed. IMT is usually manually measured on longitudinal B-mode ultrasound images. In the past ten years, many computer-based techniques for intima-media thickness measurement have been proposed to overcome the limits of manual segmentation, but almost all of them require a certain degree of user interaction. In this paper we proposed a novel approach for the completely user-independent segmentation of the common carotid artery wall. Our algorithm is designed for the extraction of the intima and media layers of the distal carotid wall in ultrasound images. It is based on integrated approach consisting of common carotid artery region identification, contour initialization with threshold segmentation, intima-lumen segmentation with Snake, and media-adventitia segmentation with GVF-Snake that enables the automated tracing of the carotid walls. The acoustic impedance's difference is employed to locate common carotid artery region. Finally, the characterization of the algorithm in terms of segmentation error was evaluated with a set of 40 common carotid artery ultrasound images and compared to the segmentation traced by a trained operator. Experiments showed that a mean error lower than 1.3 pixel both on the intima and media layers was obtained, which is comparable to that obtained by means of operator dependent techniques.

关键词： image segmentation Carotid arteries Ultrasonic imaging Media Algorithm design and analysis Ultrasonic variables measurement

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The Computer-Assisted Sperm Analysis (CASA) Technique for Sperm Morphology Evaluation

The Computer-Assisted Sperm Analysis (CASA) Technique for Sp...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Yongxin Wang Yanping Jia Ming Yuchi Mingyue Ding Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Biomedical Engineering Department School of Life science and technology Huazhong University of Science and Technology Wuhan China

The general macroscopic examination of semen evaluation includes sperm density, concentration, motility and morphology. Among these general evaluations, the morphology assessment is widely considered to be one of the most important evaluations of male sperm characteristics. With the use of computer-assisted sperm analysis (CASA) techniques, more objective, accurate and precise outcomes of sperm morphology assessment can be obtained, comparing to manual methodology. In this article we will make a brief introduction to the common CASA techniques, commercial products and future work.

关键词： Morphology Head Humans image edge detection Manuals image segmentation Microscopy

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Compressed Sensing for RF Signal Reconstruction in B-model Ultrasound Imaging

Compressed Sensing for RF Signal Reconstruction in B-model U...

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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Shaoyan Hua Ming Yuchi Mingyue Ding Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Biomedical Engineering Department School of life Science and Technology Huazhong University of Science and Technology Wuhan China

This paper proposed the a compressed sensing (CS)technique to ultrasound imaging and address the feasibility of compressive sensing theory for RF signal reconstruction in B-model medical ultrasound. with partial Fourier sampling, we compare different reconstruction algorithm to the simulation RF signal. reconstruction from 50% of the samples of original numerical cyst phantom show temperate information loss and feasibility of application CS in medical ultrasound.

关键词： Ultrasonic imaging image reconstruction RF signals Compressed sensing Biomedical imaging Minimization

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The Analytical Algorithm of Program Quaternion in the Arbitrary Spacecraft Attitude-Adjusting control

The Analytical Algorithm of Program Quaternion in the Arbitr...

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2011 3rd International Asia Conference on Informatics in control, Automation and Robotics(CAR 2011)

作者： Shaobo Ni Jianwu Wu Jiayuan Shan Lei Liu Mao Su School of Aerospace Engineering Beijing Institute of technology Beijing Aerospace Automatic Control Institute Key Laboratory of Education Ministry for Image Processing and Intelligent Control Department of Control Science & Engineering Huazhong University of Science and Technology

The analytical algorithm of program quaternion is studied,aiming at the problem of the arbitrary spacecraft attitude-adjusting *** also provides the analytical constructor method of the program quaternion for any given initial quaternion and angle velocity,terminal quaternion and angle *** advantages of this method are as follows:(1)Good *** of the initial and terminal conditions are arbitrary;(2)Simple *** calculation process only involves the simple algebraic operation;(3)Easy to *** using the program quaternion model,the time consumption in the process of spacecraft attitude adjustment and the maximum angular velocity can be optimized *** to the Mathematical simulation results,the program quaternion tracking can be realized by a simple PD control law.

关键词： Spacecraft Dynamic Modeling Attitude control Quaternion

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An effective document image deblurring algorithm

An effective document image deblurring algorithm

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Xiaogang Chen Xiangjian He Jie Yang Qiang Wu Key Laboratory of System Control and Information Processing Ministry of Education China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Centre of Innovation in IT Services and Applications University of Technology Sydney Australia

Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images. Traditional deblurring algorithms have been proposed to work for natural-scene images. However the natural-scene images are not consistent with document images. In this paper, the distinct characteristics of document images are investigated. We propose a content-aware prior for document image deblurring. It is based on document image foreground segmentation. Besides, an upper-bound constraint combined with total variation based method is proposed to suppress the rings in the deblurred image. Comparing with the traditional general purpose deblurring methods, the proposed deblurring algorithm can produce more pleasing results on document images. Encouraging experimental results demonstrate the efficacy of the proposed method.

关键词： image restoration Histograms TV Object segmentation Deconvolution Estimation image segmentation

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