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检索条件"机构=Key Laboratory of Image Processing and Intelligent Control Ministry of Education"

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Partial Differential Equation Model Method Based on image Feature for Denoising

Partial Differential Equation Model Method Based on Image Fe...

引用

International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping

作者： Xiaohua Zhang Ran Wang L. C. Jiao Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

For the special different nature images, we could hardly find particularly desirable approach, and there always exist Gibbs-type artifacts in the results of most methods. A novel Partial Differential Equation (PDE) model is proposed based on image feature for images denoising. The PDE model is adaptive within each region according to the details of the image feature to adjust the size of the diffusion coefficient. So it can be disposed the high gradient noise at the same time better to retain the edge information. We also analyze the performance of the PDE model method. Numerical results show that our algorithm competes favorably with state of the-art TV projection methods to eliminate noise and reduce Gibbs-type artifacts.

关键词： Mathematical model TV image edge detection Noise reduction Noise Noise measurement Numerical models

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An analysis of the eigenvalues method for polarimetric SAR image classification

An analysis of the eigenvalues method for polarimetric SAR i...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： S. P. Gou Xin. Qiao L. C. Jiao Key Laboratory of Intelligent Perception and Image Understanding Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

In this paper, we focus on the distribution of eigenvalues, and based on Gaussian assumption, then we do an analysis of the eigenvalues potential for POL-SAR classification. Generally, we use Gaussian mixture model to describe the distribution of the eigenvalue and Bayesian classifier to achieve the POL-SAR pixel classification. The method is tested with the NASA/JPL AIRSAR data.

关键词： Decision support 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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2011 IEEE International conference on intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011

作者： Yang, Xin Jin, Jiaoying Yuchi, Ming Ding, Mingyue Huazhong University of Science and Technology HUST Wuhan Hubei 430074 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 430074 China

ISBN: (纸本)9780769546230

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 conlusion finally. © 2011 IEEE.

关键词： Diseases

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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...

引用

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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Ultrasound image denoising with multi-shape patches aggregation based non-local means

Ultrasound image denoising with multi-shape patches aggregat...

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2011 IEEE International conference on intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011

作者： Chen, Wanjun Ding, Mingyue Miao, Yalin Luo, Lei Department of Information Science Xi'an University of Technology Xi'an Shannxi 710048 China College of Life Science and Technology Lmage Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9780769546230

The Non-Local Means (NLM) filter uses the redundancy of information in the image to remove noise, this scheme gives some of the best results among other powerful methods such as wavelet based approaches or diffusion techniques. Though simple to implement and efficient in practice, the classical NLM suffers from ringing artifacts around edges when using square patches, due to an abrupt lack of redundancy of the image. This paper presents an extended NLM based on Multi-Shape Patches Aggregation (NLM-MSPA) to overcome this problem, and uses it to remove medical ultrasound images corrupted by multiplicative speckle noise. We have incorporated a preprocessing step to make the speckle noise much closer to the real additive white Gaussian noise, hence more amenable to a denoising algorithm such as NLM-MSPA. Results on real images and artificially speckled images show that the proposed scheme outperforms several classical methods chosen for comparison in its ability to reduce speckle and preserve edge details. © 2011 IEEE.

关键词： Speckle

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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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Forward simulation of remaining oil exploration in cross-well by time domain electromagnetic method

Forward simulation of remaining oil exploration in cross-wel...

引用

IEEE International Conference on Communication Software and Networks

作者： Xi-Jin, Song Rui-Rong, Dang Bao-Long, Guo Xue-Long, Wang Key Laboratory of Photoelectric Logging and Detecting of Oil and Gas Ministry of Education Xi'An Shiyou University Xi'an China Institute of Intelligent Control and Image Engineering Xidian University Xi'an China College of Computer Science and Technology Xi'An University of Technology Xi'an China

ISBN: (纸本)9781612844855

Based on electromagnetic field theory, this paper derived the general expressions of time domain responses for cross-well electromagnetic logging. The emission waveform may be chosen as bipolar square wave by calculating the spectrums of three types of transmit signals. And the effects of thickness, magnetic permeability and electrical conductivity of the casing on time domain electromagnetic logging responses were analyzed. The computation results show that the casing change whether thinner or thicker has an obvious effect on the time domain logging responses. The simulation results also indicate the higher the casing electrical conductivity, the lower the response signal amplitude;and the lower the magnetic permeability, the more easy the electromagnetic signals through the casing. Furthermore, the sensitivity analysis of the time domain electromagnetic responses to the formation resistivity indicates that the electromagnetic responses are fairly sensitive to the formation resistivity. This result proved the feasibility and effectiveness of cross-well time domain electromagnetic logging technology applies to the field of oil and gas exploration. © 2011 IEEE.

关键词： Magnetic permeability

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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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control of Upper-Limb Power-Assist Exoskeleton Based on Motion Intention Recognition

Control of Upper-Limb Power-Assist Exoskeleton Based on Moti...

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2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Yongji Wang Jian Huang Weiguang Huo Jun Wu Lei Cheng Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Educa

Recognizing the user motion intention plays an important role in the study of power-assist robots. An intention-guided control strategy is proposed for the upper-limb power-assist exoskeleton. A force sensor system comprised of force sensing resistors (FSRs) is designed to online estimate the motion intention of user upper limb. A new concept called “intentional reaching direction (IRD)” is proposed to quantitatively describe this intention. Both the state model and the observation model of IRD are obtained by enumerating the upper limb behavior modes and analyzing the relationship between the measured force signals and the motion intention. Based on these two models, the IRD can be online inferred by applying filtering technology. Guided by the estimated IRD, an admittance control strategy is assumed to control the motions of three DC motors in the joints of the robotic arm. The effectiveness of the proposed approaches is finally confirmed by the experiments on a 3-DOF robotic exoskeleton.

关键词： Joints Exoskeletons Force Humans Robot sensing systems Jacobian matrices

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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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