检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

573 篇 会议
268 篇 期刊文献

馆藏范围

841 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

563 篇 工学
- 354 篇 计算机科学与技术...
- 312 篇 软件工程
- 146 篇 信息与通信工程
- 104 篇 光学工程
- 85 篇 控制科学与工程
- 72 篇 生物工程
- 57 篇 生物医学工程（可授...
- 56 篇 电子科学与技术（可...
- 53 篇 机械工程
- 46 篇 电气工程
- 38 篇 化学工程与技术
- 29 篇 仪器科学与技术
- 23 篇 交通运输工程
- 17 篇 土木工程
- 16 篇 航空宇航科学与技...
- 15 篇 建筑学
- 11 篇 材料科学与工程（可...
- 10 篇 安全科学与工程
344 篇 理学
- 190 篇 数学
- 121 篇 物理学
- 81 篇 生物学
- 65 篇 统计学（可授理学、...
- 36 篇 化学
- 24 篇 系统科学
130 篇 管理学
- 71 篇 图书情报与档案管...
- 66 篇 管理科学与工程(可...
- 10 篇 工商管理
35 篇 医学
- 31 篇 临床医学
- 24 篇 基础医学(可授医学...
- 20 篇 药学(可授医学、理...
10 篇 法学
10 篇 艺术学
8 篇 农学
6 篇 经济学
5 篇 军事学
4 篇 教育学
2 篇 文学
1 篇 哲学

主题

62 篇 feature extracti...
42 篇 image segmentati...
42 篇 image processing
41 篇 pattern recognit...
25 篇 training
23 篇 support vector m...
23 篇 computer vision
21 篇 object detection
21 篇 laboratories
21 篇 shape
19 篇 convolution
19 篇 principal compon...
18 篇 image edge detec...
17 篇 face recognition
17 篇 image analysis
17 篇 image reconstruc...
16 篇 histograms
16 篇 robustness
15 篇 discrete wavelet...
14 篇 semantics

机构

74 篇 image processing...
36 篇 institute of ima...
23 篇 fujian key labor...
22 篇 school of inform...
18 篇 state key labora...
18 篇 school of comput...
17 篇 key laboratory o...
17 篇 school of softwa...
16 篇 institute for pa...
15 篇 fujian key labor...
13 篇 school of comput...
12 篇 hubei key labora...
12 篇 hubei engineerin...
12 篇 key laboratory o...
11 篇 college of compu...
11 篇 key laboratory o...
10 篇 key laboratory o...
9 篇 institute of ima...
9 篇 school of electr...
9 篇 institute of pat...

作者

64 篇 ping guo
35 篇 yang jie
32 篇 zhang tianxu
27 篇 guo ping
25 篇 qian yin
25 篇 wang da-han
23 篇 huang xiaolin
20 篇 jie yang
19 篇 tian jinwen
19 篇 liu jian
18 篇 yunhong wang
16 篇 ding mingyue
15 篇 zhaoxiang zhang
15 篇 jinwen tian
15 篇 jian liu
13 篇 zhou jie
13 篇 li qishen
13 篇 tianxu zhang
12 篇 da-han wang
12 篇 zhu shunzhi

语言

811 篇 英文
21 篇 中文
9 篇 其他

检索条件"机构=Key Laboratory of Image Processing and Pattern Recognition"

共 841 条记录，以下是311-320 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Second order morphology algorithm for IR small target enhancement in sea clutter background

Second order morphology algorithm for IR small target enhanc...

引用

2010 International Conference on Optics, Photonics and Energy Engineering, OPEE 2010

作者： Xiao, Zhou Xingang, Mou Guilin, Zhang Natl. Key Laboratory of Science and Technology on Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424452354

The framework of a second order morphology algorithm is proposed to enhance the dim small infrared target in sea clutter background with strong detector noise. First, a morphological filters bank is given. Each filter in the bank is designed to suppress its corresponding type texture. The second order process can be accomplished in two steps. The original infrared image is first filtered using each filter separately, and then the first order result is obtained by the combination of the filtered result images. The other step is essentially the same as the first one except the combination manner of the filtered result images. Second, the traditional SNR gain based evaluation of different small target enhancement algorithms is examined and a more reasonable method based on the distance between the target and the maximal background (DTMB) is described in this paper. Third, using the new evaluation method, the comparison is given by experiment through a sequence of infrared images with a dim small target. Experimental results demonstrate that the new proposed algorithm performs better in sea clutter background with strong detector noise than the traditional ones. © 2010 IEEE.

关键词： Morphology

来源：评论

学校读者我要写书评

暂无评论

Two-dimensional Spectral image Calibration Based on Feed-forward Neural Network

Two-dimensional Spectral Image Calibration Based on Feed-for...

引用

International Joint Conference on Neural Networks

作者： Mingze Li Hasitieer Haerken Ping Guo Fuqing Duan Qian Yin Xin Zheng Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China

ISBN: (纸本)9781509061839

In this paper, we present a novel method on image calibration, utilizing Total Least Square (TLS) method and Feed-forward Neural Network, to solve the aberration problem of LAMOST two-dimensional astronomical spectral images. In our method, training sample set is generated with domain knowledge, from which a number of discrete points are are extracted from spectral images with fiber tracing method, and output vectors are formed by the corresponding calibrated points, obtained by utilizing the TLS method. The Feed-forward Neural Network is trained to obtain the transformation matrix, casting about for the matching relationship between the input and output sets. We also perform comparative experiments on fiber tracing and spectrum extraction results between calibrated spectral images and uncalibrated spectral images, the results show an advantage of higher accuracy and precision by our proposed method.

关键词： Nonlinear distortion Calibration Neural networks Training Optical distortion Imaging

来源：评论

学校读者我要写书评

暂无评论

On realization of visualization system for global ocean simulation

On realization of visualization system for global ocean simu...

引用

International Conference on Audio, Language and image processing

作者： Ming, De-Lie Gao, Peng-Fei Wang, Mi State Key Laboratory for Multi-spectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei Province 430074 China

ISBN: (纸本)9781424458653

Simulating and rendering realistic ocean is always one of the most popular and difficult tasks in computer graphics and oceanography. However, because of the restriction of computer software and hardware conditions, mass data and real-time, there are less people to research global ocean simulation. Under the background of global environment simulation, the paper describes a solution for the application of global ocean simulation on the basis of previous work, and realizes the visualization system successfully using OSG (OpenSceneGraph) API and all kinds of open-source libraries, and demonstrates the result of cross-sea flight. At last, we analysis the deficiencies of our solution and make some improvement suggestions. ©2010 IEEE.

关键词： Computer hardware

来源：评论

学校读者我要写书评

暂无评论

Brain MRI Segmentation with Patch-based CNN Approach

Brain MRI Segmentation with Patch-based CNN Approach

引用

第35届中国控制会议

作者： Zhipeng CUI Jie YANG Yu QIAO Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University The Key Laboratory of Ministry of Education for System Control and Information Processing

ISBN: (纸本)9781509009107

Brain Magnetic Resonance image(MRI) plays a non-substitutive role in clinical *** symptom of many diseases corresponds to the structural variants of *** structure segmentation in brain MRI is of great importance in modern medical *** methods were developed for automatic segmenting of brain MRI but failed to achieve desired *** this paper,we proposed a new patch-based approach for automatic segmentation of brain MRI using convolutional neural network(CNN).Each brain MRI acquired from a small portion of public dataset is firstly divided into *** of these patches are then used for training CNN,which is used for automatic segmentation of brain *** results showed that our approach achieved better segmentation accuracy compared with other deep learning methods.

关键词： CNN Deep Learning Brain MRI Segmentation Patch-based

来源：评论

学校读者我要写书评

暂无评论

Multi-regularization parameters estimation for Gaussian mixture classifier based on MDL principle

Multi-regularization parameters estimation for Gaussian mixt...

引用

International Conference on Neural Computation Theory and Applications, NCTA 2011

作者： Zhou, Xiuling Guo, Ping Philip Chen, C.L. Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing 100875 China Artificial Intelligence Institute Beijing City University Beijing China Faculty of Science and Technology University of Macau Macau China

ISBN: (纸本)9789898425843

Regularization is a solution to solve the problem of unstable estimation of covariance matrix with a small sample set in Gaussian classifier. And multi-regularization parameters estimation is more difficult than single parameter estimation. In this paper, KLIM-L covariance matrix estimation is derived theoretically based on MDL (minimum description length) principle for the small sample problem with high dimension. KLIM-L is a generalization of KLIM (Kullback-Leibler information measure) which considers the local difference in each dimension. Under the framework of MDL principle, multi-regularization parameters are selected by the criterion of minimization the KL divergence and estimated simply and directly by point estimation which is approximated by two-order Taylor expansion. It costs less computation time to estimate the multi-regularization parameters in KLIM-L than in RDA (regularized discriminant analysis) and in LOOC (leave-one-out covariance matrix estimate) where cross validation technique is adopted. And higher classification accuracy is achieved by the proposed KLIM-L estimator in experiment.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Path Integral Based Contour Extraction Method Using Multilevel Metropolis Sampling

Path Integral Based Contour Extraction Method Using Multilev...

引用

7th International Conference on Photonics and Imaging in Biology and Medicine

作者： Yangguang, Sun Tian, Lan Xiaowei, Fu Mingyue, Ding Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819475398

In this paper we proposed a novel path integral method using multilevel Metropolis sampling to extract the contours of interested objects of medical images, which is a quantum statistical approach inspired by the essential characteristics of quantum. The implemented multilevel Metropolis sampling is a fast approach to the sampling problem and can be used to sample any distribution function and calculate all actions for the movements of quantum particle towards the position with high probability density likely to be accepted. Comparing with traditional deformable models based on classical mechanics which are sensitive to the initialization of contour and difficult to adapt topology changes of the contour, our work has the capability to break through the limitations of deformable models and makes the boundary extraction in high noise and low contrast of medical images possible. Experiments were performed with synthetic and medical images and the feasibility and potential of our method was demonstrated. © 2009 SPIE.

关键词： Distribution functions

来源：评论

学校读者我要写书评

暂无评论

Room Layout Estimation based on Planar Semantic Segmentation

Room Layout Estimation based on Planar Semantic Segmentation

引用

2022 IEEE World Conference on Applied Intelligence and Computing, AIC 2022

作者： Huang, Shizhong Miao, Jun Yao, Hui Zheng, Yilin Chu, Jun Zhang, Guoxiang Nanchang Hangkong University School of Aeronautical Manufacturing Engineering Nanchang330063 China Nanchang Hangkong University Department of Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang330063 China University of California MercedCA95343 United States

ISBN: (数字)9781665479882

ISBN: (纸本)9781509050017

Layout estimation is one of fundamental tasks for understanding indoor scenes. In a single image of indoor scenes, key information, such as key points and boundaries for inferring the layout is often severely occluded or completely invisible. In this paper, a novel end-to-end deep learning network, which is extended from Xception module, is constructed for segmentation of semantic planes to infer the room layout structure. Moreover, the network contains an optimized depth wise separable convolution (DSC) in Xception module and a reinforced spatial attention module (SAM), so that it obtained good learning ability in severely occluded areas. Tests on public datasets show that the proposed network has a lower pixel error (PE) and higher generalization compared with existing algorithms. Ablation experiments prove that optimized DSC and SAM in the network are effective in improving the accuracy of layout estimation. © 2022 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Two-band Infrared Data Fusion Method Based-on Fractal Dimension

Two-band Infrared Data Fusion Method Based-on Fractal Dimens...

引用

2005 International Conference on Neural Networks and Brain(ICNN&B’05)

作者： Yuqiu Sun Jinwen Tian Jian Liu Image Processing and Intelligence Control Key Laboratory of State Educational Ministry Institute of Pattern Recognition and Artificial IntelligenceHuazhong University of Science and Technology School of information and mathematics Yangtze University Dept.of Electronic Information and Enginery of Huazhong University of Science and Technology

ISBN: (纸本)0780394224

＜正＞Researches indicate that the gray-scale images mapped from most nature objects accord to the fractal Brown stochastic field which foundation is self-similarity,an image is self-similarity means the image is made up of copies of itself in a reduced *** fractal dimension can quantificational depict the fractal character and the property of an image. Therefore,a new method based-on fractal dimension to fuse mid-wave infrared images and long-wave infrared images is presented in the ***,images are decomposed into different scale using wavelet ***,the fractal dimensions of sub-images of original images are computed,and then take them as weight to fuse sub-images at the same level according to different ***,reconstruct the fused images by wavelet inverse *** experimental results imply that the method can effectively preserve the information of source images with a high contrast and may be very practical.

关键词： Fractals Infrared imaging Artificial intelligence Fuses Educational technology image reconstruction Layout Infrared detectors Intelligent control Process control

来源：评论

学校读者我要写书评

暂无评论

Research on large-scale scene infrared simulation based on image classification

Research on large-scale scene infrared simulation based on i...

引用

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

作者： Zou, Lamei Zhang, Tianxu Lv, Wei Ao, Guoqing Institute for Pattern Recognition and Artificial Intelligence Natl. Key Laboratory of Science and Technology on Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424494040

Vega has been widely used in Virtual Reality (VR) field. Vega infrared (IR) module can implement IR simulation, but Vega IR imaging simulation's general approach does not apply to large-scale scene's infrared simulation problem. This article deeps into large-scale scene IR image simulation through Vega infrared module based on visible image, the scene's corresponding Digital Elevation Model (DEM) data and targets' 3D model. A real time large-scale IR simulation system is successfully designed and realized in this paper. At the aspect of image classification, a coarse to fine k-means clustering method based on the consistency of image color is proposed. The proposed automatic texture material mapping method based on the development of Vega TMM tool provides a fast and convenient way for large-scale scene's IR simulation based on Vega IR module. And finally, results of the large-scale scene infrared simulation show the effectiveness of this method. ©2011 IEEE.

关键词： image classification

来源：评论

学校读者我要写书评

暂无评论

A statistical approach to contour extraction based on quantum mechanics

A statistical approach to contour extraction based on quantu...

引用

Medical Imaging 2009 - image processing

作者： Sun, Yangguang Lan, Tian Fu, Xiaowei Ding, Mingyue Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819475107

Contour extraction is a key issue in many medical applications. A novel statistical approach based on quantum mechanics to extract contour of the interested object of medical images was proposed in this paper. The natures of quantum statistical concepts such as the quantum discontinuity and the wave function correspond to the discrete and gray possibility of an image respectively. Contour extraction will be performed by the quantum particle movement, where the particle will be moved forward to the position with high probability density edges in image potential field. Experimental results with medical images demonstrated that the proposed approach has the capability to extract contours with arbitrary initialization and handle topology changes as well as both the inner and outer contours by a single initialization. keywords: Statistical approach, contour extraction, path integral, quantum mechanics. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Medical applications

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共85页 << < 28 29 30 31 32 33 34 35 36 37 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：