检索结果-内蒙古大学图书馆

The 4th International Ion Channel Conference(第四届国际离子通道会议)

作者： Panpan Hou Jianming Cui Ding Jiuping Feng Xiao Ming Yuchi Guohui Zhang Ying Wu Wei Wang Wenping Zeng Mingyue Ding Zhengxing Wu Department of pharmacology Soochow University college of pharmaceutical Sciences SuzhouChina Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Department of Biomedical Engineering College of Life Science and Technology Wuhan China Department of Biomedical Engineering Center for the Investigation of Membrane Excitability Disorders Cardiac Bioelectricity and Arrhythmia Center Washington University St Louis MOUSA Key Laboratory of Molecular Biophysics Huazhong University of Science and Technology Ministry of Education College of Life Science and Technology Wuhan China Department of Biomedical Engineering Center for the Investigation of Membrane Excitability Disorders Cardiac Bioelectricity and Arrhythmia Center Washington University St Louis MOUSA

来源：评论

学校读者我要写书评

暂无评论

Detection of Billet Character in Complex Production Line Scene

Detection of Billet Character in Complex Production Line Sce...

引用

第三届数字制造与自动化国际会议

作者： Hong Hanyu Yu Zhejun Zhang Xiuhua Laboratory for Image Processing and Intelligent Control Wuhan Institute of Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology

Character information is hard to detect in billet scene images by CCD camera. In this paper, we present a method for detection of billet characters from measurements of recursive segmented image. This recursive segmented method can be used in a wide variety of billet scenes. According to high temperature and complex scene in the rolling line, we use an effective clustering and projection characteristics to determine the terminal condition of recursive segmentation. Then we can label character candidate regions in turn by this effective characteristics, and select the regions we want to achieve. The experiments show that this method makes full use of the characteristics of region and clustering. It can improve the quality of detection, and the detection result meets the need of practical application.

关键词： image processing production line billet character

来源：评论

学校读者我要写书评

暂无评论

An Overview of Hierarchical Temporal Memory: A New Neocortex Algorithm

An Overview of Hierarchical Temporal Memory: A New Neocortex...

引用

2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xi Chen Wei Wang Wei Li Institute of System engineering Huazhong University of Science & TechnologyImage Processing and Int Candidate for Master of theInstitute of System engineering Huazhong University of Science &Technolog Department of Control Science &Engineering Image Processing and Intelligent Control Key Laboratory o

ISBN: (纸本)9781467315241

The overview presents the development and application of Hierarchical Temporal Memory (HTM).HTM is a new machine learning method which was proposed by Jeff Hawkins in *** is a biologically inspired cognitive method based on the principle of how human brain *** method invites hierarchical structure and proposes a memory-prediction framework, thus making it able to predict what will happen in the near *** overview mainly introduces the developing process of HTM, as well as its principle, characteristics, advantages and applications in vision, image processing and robots movement, some potential applications by using HTM , such as thinking process, are also put forward.

关键词： hierarchical Bayesian network spatial-temporal memory-prediction temporal sequence pattern recognition

来源：评论

学校读者我要写书评

暂无评论

$H_{\infty}$ Filtering for Neutral Systems With Mixed Delays and Multiplicative Noises

引用

IEEE Transactions on Circuits and Systems II: Express Briefs 2012年第11期59卷 820-824页

作者： Shiping Wen Zhigang Zeng Tingwen Huang Department of Control Science and Engineering Huazhong University of Science and Technology and Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan China Texas A & M University at Qatar Doha Qatar

This brief investigates the H ∞ filtering problem for a class of neutral systems with mixed delays and multiplicative noises. The mixed delays comprise both discrete time-varying and distributed delays. Moreover, the multiplicative disturbances are in the form of a scalar Gaussian white noise with unit variance. In the presence of mixed delays and multiplicative noises, sufficient conditions for the existence of an H ∞ filter are derived, such that the filtering error dynamics is asymptotically mean-square stable and also achieves a guaranteed H ∞ performance level. Then, a linear matrix inequality approach for designing such an H ∞ filter is presented. Finally, a numerical example is provided to illustrate the effectiveness of the developed theoretical results.

关键词： Delay Noise Robustness control systems Stochastic systems Linear matrix inequalities

来源：评论

学校读者我要写书评

暂无评论

Automatic segmentation of brain tumors in magnetic resonance images

Automatic segmentation of brain tumors in magnetic resonance...

引用

IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering

作者： Behzadfar, Neda Soltanian-Zadeh, Hamid Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Pooyandegan Rah Saadat Company Tehran 16756-965 Iran Image Analysis Laboratory Radiology Department HenryFord Healh System Detroit MI 48202 United States

ISBN: (纸本)9781457721779

Segmentation of tumors in magnetic resonance images (MRI) is an important task but is quite time consuming when performed manually by experts. Automating this process is challenging due to the high diversity in appearance of tumor tissue in different patients, and in many cases, similarity between tumor and normal tissues. This paper presents an automatic method for segmentation of brain tumors in MRI. We use images of patients with glioblastoma multiform tumors. After pre-processing and removal of the regions that do not have useful information (e.g., eyes and scalp), we create a projection image for determining the primary location of the tumor. This image provides an overall view of the tumor. Then, we grow the primary region to segment the entire tumor. This method is automatic and independent of the operator. It segments low contrast tumors without requiring their exacta tissue boundaries. The segmentation results obtained by the proposed approach are compared with those of an expert radiologist showing excellent correlations among them (R2=0.97). © 2012 IEEE.

关键词： Tumors

来源：评论

学校读者我要写书评

暂无评论

A New Recognition Method for Billet Number Recognition System

A New Recognition Method for Billet Number Recognition Syste...

引用

International Conference on Digital Manufacturing and Automation (ICDMA)

作者： Hao Zhu Yiwen Wang Hanyu Hong Xiuhua Zhang School of mathematics and physics University of Science and Technology Beijing China Laboratory for Image Processing and Intelligent Control Wuhan Institute of Technology Wuhan China

This paper presents a method for extracting and recognizing the billet numbers according to the feature of each number. Its advantages lie in that no template image is required, the requirement to the number in the image is low, and the anti-interference performance is strong. This method is able to recognize the numbers on the billet with a high efficiency.

关键词： image recognition Character recognition image segmentation Billets Licenses Educational institutions

来源：评论

学校读者我要写书评

暂无评论

Self-Adaptability Research of Billet Character Segmentation in the Complex Scene

Self-Adaptability Research of Billet Character Segmentation ...

引用

International Conference on Digital Manufacturing & Automation

作者： Yang Yijun Hong Hanyu Wang Yiwen Zhang Xiuhua Laboratory of Image Processing and Intelligent Control Wuhan Institute of Technology Wuhan China School of Mathematics and Physics University of Science and Technology Beijing Beijing China

In the process of billet detection and recognition, the self-adaptability research of billet character segmentation in the complex scene is a highly complicated intelligence problem. On account of a good many of factors, such as the uneven ends of billet, the rusty billets, the non-standard printed characters and so on, the irregular characters at ends of steel billet may be connected and broken. Improper segmentation of connected and broken characters will lead the characters distorted directly and then impact on the recognition results. In view of these complex factors, a segmentation algorithm based on self-adaptability decision is proposed to improve the segmentation self-adaptability in this paper. The segmentation experimental results show that the proposed algorithm divides the billet characters in the complex scene accurately and improves the self-adaptability of character segmentation.

关键词： Billet character Segmentation Self-adaptability decision Connected character Broken character

来源：评论

学校读者我要写书评

暂无评论

A Novel Local Spline Smoothing-Based Approach for Medical Ultrasound images Enhancement

A Novel Local Spline Smoothing-Based Approach for Medical Ul...

引用

IEEE-EMBS Conference on Biomedical Engineering and Sciences

作者： Fardin Afdideh Roya Khasheei Rad Seyed Navid Resalat Elyas Sabeti IEEE Member Biomedical Engineering Department Islamic Azad University Control and Intelligent Processing Center of Excellence University of Tehran Biomedical Signal and Image Processing Laboratory (BiSIPL) Sharif University of Technology

ISBN: (纸本)9781467316644

In this work, a novel local spline smoothing-based approach is proposed in order to despeckling medical ultrasound images. For better comparison, firstly nine conventional statistical spatial filters were applied on the ultrasound images and the results evaluated by quantitative indices of contrast to noise ratio (CNR) and speckle signal to noise ratio (SSNR). Secondly, one-dimensional cubic spline smoothing (1DCSS) function was applied on the whole speckled image as the first proposed approach. Finally, as the second proposed approach, 1DCSS was applied locally on the sliding windows of the ultrasound image then conventional statistical spatial filters were applied. The results indicate that the proposed approaches outperform the existing conventional ones.

关键词： Cubic spline smoothing Despeckling Medical ultrasound image Spatial filters

来源：评论

学校读者我要写书评

暂无评论

A novel segmentation method for convex lesions based on dynamic programming with local intra-class variance 12

A novel segmentation method for convex lesions based on dyna...

引用

27th Annual ACM Symposium on Applied Computing, SAC 2012

作者： Yu, Mali Huang, Qiliang Jin, Renchao Song, Enmin Liu, Hong Hung, Chih-Cheng School of Computer Science Huazhong University of Science and Technology Wuhan China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Wuhan Hubei China Radiology Department Second People's Hospital of Nanning Nanning China School of Computing and Software Engineering Southern Polytechnic State University GA United States

ISBN: (纸本)9781450308571

Lesion segmentation plays an important role in medical image processing and analysis. There exist several successful dynamic programming (DP) based segmentation methods for general images. In those methods, the gradient is used as an important factor in the cost function to attract the contours to the boundaries. Since medical images have their characteristics such as low contrast, blurred edges and high noises, the gradient operator cannot work well enough to achieve a satisfactory performance for boundary detection. We define the local intra-class variance and combine it with the dynamic programming method to replace the traditional gradient operation. Experiments on synthetic and X-ray images are carried out and the results are compared with Canny and fast multilevel fuzzy edge detection (FMFED) algorithms. It is demonstrated that the proposed method performs better on medical images with low contrast, blurred edges and high noises. In addition, 483 regions of interest of mammograms randomly extracted from DDSM of the University of South Florida are used to compare our proposed method with the plane-fitting and dynamic programming method (PFDP), and the normalized cut segmentation method (Ncut). The results demonstrate that our method is more accurate and robust than PFDP and Ncut. © 2012 ACM.

关键词： Dynamic programming

来源：评论

学校读者我要写书评

暂无评论

AC magnetization measurement employing a pair of differentiating coils for magnetic nanoparticle noninvasive and remote temperature estimation

AC magnetization measurement employing a pair of differentia...

引用

IEEE Instrumentation and Measurement Technology Conference

作者： Jing Zhong Wenzhong Liu Ming Zhou Le He Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

This paper aims to design a system that can measure AC sample magnetization employing a pair of differentiating detection coils. A pair of Helmholtz coils generated the applied magnetic field. A new model and a pair of differentiating coils were used to reject the intrinsic residual of the applied magnetic field, which was caused by the mechanical positioning error of detection coils. The system design is very simple, low-cost, and easy to implement with only two parts: hardware and software. The experimental results indicated that the rejection of the applied magnetic field with a residual is about 0.05%, relative to the sample magnetization.

关键词： Coils Magnetization Magnetic field measurement Magnetic fields Temperature measurement Estimation Biomedical measurements

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：