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

414 篇 会议
121 篇 期刊文献
7 册 图书

馆藏范围

542 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

250 篇 工学
- 133 篇 计算机科学与技术...
- 116 篇 软件工程
- 71 篇 电气工程
- 62 篇 光学工程
- 59 篇 信息与通信工程
- 46 篇 电子科学与技术（可...
- 44 篇 生物医学工程（可授...
- 25 篇 控制科学与工程
- 24 篇 生物工程
- 23 篇 仪器科学与技术
- 14 篇 机械工程
- 13 篇 化学工程与技术
- 7 篇 土木工程
- 7 篇 航空宇航科学与技...
- 6 篇 材料科学与工程（可...
- 5 篇 建筑学
152 篇 理学
- 85 篇 数学
- 76 篇 物理学
- 32 篇 统计学（可授理学、...
- 27 篇 生物学
- 16 篇 化学
- 7 篇 系统科学
41 篇 管理学
- 23 篇 图书情报与档案管...
- 18 篇 管理科学与工程(可...
- 8 篇 工商管理
28 篇 医学
- 26 篇 临床医学
- 19 篇 基础医学(可授医学...
- 13 篇 药学(可授医学、理...
- 5 篇 医学技术（可授医学...
5 篇 艺术学
- 5 篇 设计学（可授艺术学...
4 篇 法学
4 篇 农学
1 篇 经济学
1 篇 教育学

主题

75 篇 image processing
60 篇 laboratories
46 篇 signal processin...
40 篇 image segmentati...
39 篇 image coding
33 篇 shape
32 篇 pixel
32 篇 feature extracti...
29 篇 image analysis
28 篇 remote sensing
25 篇 image reconstruc...
25 篇 hyperspectral im...
23 篇 humans
23 篇 biomedical imagi...
22 篇 data mining
20 篇 magnetic resonan...
20 篇 computer vision
19 篇 support vector m...
18 篇 hyperspectral se...
17 篇 application soft...

机构

21 篇 signal and image...
19 篇 control and inte...
16 篇 remote sensing s...
16 篇 remote sensing s...
14 篇 department of el...
13 篇 remote sensing s...
13 篇 video and image ...
10 篇 remote sensing s...
9 篇 department of ra...
6 篇 advanced multime...
6 篇 image analysis l...
6 篇 computer vision ...
6 篇 control and inte...
5 篇 image analysis l...
5 篇 radiology image ...
5 篇 image processing...
5 篇 department of ra...
5 篇 department of el...
5 篇 image and video ...
5 篇 control and inte...

作者

35 篇 chein-i chang
24 篇 chang chein-i
21 篇 hamid soltanian-...
16 篇 e.j. delp
15 篇 chang chein-i.
15 篇 gardner wa
12 篇 soltanian-zadeh ...
12 篇 s.k. mitra
11 篇 edward j. delp
10 篇 a.a. farag
10 篇 aly a. farag
9 篇 wu chao-cheng
8 篇 paul salama
7 篇 kenneth w. dunn
7 篇 h. soltanian-zad...
7 篇 joonki paik
6 篇 lee san-kan
6 篇 m. wallace
6 篇 lucey simon
6 篇 a.k. katsaggelos

语言

524 篇 英文
16 篇 其他
2 篇 中文

检索条件"机构=Image Processing and Multimedia Laboratory Department of Electrical & Computer Engineering"

共 542 条记录，以下是411-420 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：

Unsupervised hyperspectral image analysis using independent component analysis

Unsupervised hyperspectral image analysis using independent ...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Shao-Shan Chiang Chein-I Chang I.W. Ginsberg Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA Department of Energy Remote Sensing Laboratories Las Vegas NV USA

In this paper, an ICA-based approach is proposed for hyperspectral image analysis. It can be viewed as a random version of the commonly used linear spectral mixture analysis, in which the abundance fractions in a linear mixture model are considered to be unknown independent signal sources. It does not require the full rank of the separating matrix or orthogonality as most ICA methods do. More importantly, the learning algorithm is designed based on the independency of the material abundance vector rather than the independency of the separating matrix generally used to constrain the standard ICA. As a result, the learning algorithm is able to converge to non-orthogonal independent components. This is particularly useful in hyperspectral image analysis since many materials extracted from a hyperspectral image may have similar spectral signatures and may not be orthogonal. The AVIRIS experiments have demonstrated that the proposed ICA provides an effective unsupervised technique for hyperspectral image classification.

关键词： Hyperspectral imaging image analysis Independent component analysis Hyperspectral sensors Principal component analysis Vectors Laboratories Spectral analysis Pixel Composite materials

来源：评论

学校读者我要写书评

暂无评论

A linear mixture analysis-based compression for hyperspectral image analysis

A linear mixture analysis-based compression for hyperspectra...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Q. Du Chein-I Chang D.C. Heinz M.L.G. Althouse I.W. Ginsberg Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA Department of Energy Remote Sensing Laboratories Las Vegas NV USA

The authors present a fully constrained least squares linear spectral mixture analysis-based compression technique for hyperspectral image analysis, particularly, target detection and classification. Unlike most compression techniques that directly deal with image gray levels, the proposed compression approach generates the abundance fractional images of potential targets present in an image scene and then encodes these fractional images so as to achieve data compression. Since the vital information used for image analysis is generally preserved and retained in the abundance fractional images, the loss of information may have very little impact on image analysis. In some occasions, it even improves analysis performance. AVIRIS data experiments demonstrate that it can effectively detect and classify targets while achieving very high compression ratios.

关键词： image analysis image coding Hyperspectral imaging Hyperspectral sensors Layout Object detection Spectral analysis Performance analysis Feature extraction Pixel

来源：评论

学校读者我要写书评

暂无评论

Multi-modal medical volumes fusion by surface matching

Multi-modal medical volumes fusion by surface matching

引用

5th International Symposium on Signal processing and Its Applications, ISSPA 1999

作者： Eldeib, Ayman M. Yamany, Sameh M. Farag, Aly Computer Vision and Image Processing Laboratory University of Louisville Department of Electrical Engineering Louisville KY 40292 United States

ISBN: (纸本)1864354518

Presents a fast, six degrees of freedom, registration technique to accurately locate the position and orientation of medical volumes (e.g. CT, MRI) with respect to each other for the same patient. The technique uses surface registration and maximization of mutual information. We have developed a novel technique for surface registration which produces highly accurate results when registering two different volumes of the same individual generated from the same modality, such as preoperative MR and intraoperative MR volumes. In case surface registration is not able to accurately register the different volumes, the result is enhanced by multi-modal volume registration. The gain of this combination is to have an accurate alignment and to reduce time needed for registration. For the multi-modal volume registration, the maximization of mutual information (MI) as a matching criterion is used based on genetic algorithms (GA) as a search engine. Our results demonstrate that our registration technique allows for fast, accurate, robust and completely automatic registration of multimodality medical volumes. © 1999 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Multi-modal medical volumes fusion by surface matching

Multi-modal medical volumes fusion by surface matching

引用

International Symposium on Signal processing and Its Applications (ISSPA)

作者： A.M. Eldeib S.M. Yamany A. Farag Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Louisville Louisville KY USA

关键词： Biomedical imaging Medical diagnostic imaging Computed tomography Mutual information Magnetic resonance imaging Data mining Magnetic resonance Genetic algorithms Shape computer vision

来源：评论

学校读者我要写书评

暂无评论

Free-form surface registration using surface signatures

Free-form surface registration using surface signatures

引用

International Conference on computer Vision (ICCV)

作者： S.M. Yamany A.A. Farag Computer Vision and Image Processing Laboratory Electrical Engineering Department University of Louisville Louisville KY USA

The paper introduces a new free-form surface representation scheme for the purpose of fast and accurate registration and matching. Accurate registration of surfaces is a common task in computer vision. The proposed representation scheme captures the surface curvature information seen from certain points and produces images called surface signatures at these points. Matching signatures of different surfaces enables the recovery of the transformation parameters between these surfaces. We propose to use template matching to compare the signature images. To enable partial matching, another criterion, the overlap ratio, is used. This representation scheme can be used as a global representation of the surface as well as a local one and performs near real time registration. We show that the signature representation can be used to match objects in 3D scenes in the presence of clutter and occlusion. Applications presented include free-form object matching, multimodal medical volume registration and dental teeth reconstruction from intra-oral images.

关键词： Shape computer vision Surface reconstruction Application software Biomedical imaging image processing Layout Dentistry Teeth image reconstruction

来源：评论

学校读者我要写书评

暂无评论

On the robustness of vector set partitioning image coders to bit errors

On the robustness of vector set partitioning image coders to...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： D. Mukherjee S.K. Mitra Image Processing Laboratory Department of Electrical & Computer Engineering University of California Santa Barbara CA USA

A vector enhancement of Said and Pearlman's Set Partitioning in Hierarchical Trees (SPIHT) methodology, named VSPIHT has recently been proposed for embedded wavelet image compression. A major advantage of vector based embedded coding with fixed length VQs over scalar embedded coding, is its superior robustness to noise. In this work we show that vector set partitioning can effectively alter the balance of bits in the bit stream so that significantly fewer critical bits carrying significant information is transmitted, thereby improving inherent noise resilience. Additionally, the degradation in reconstruction quality caused by errors in non-critical quantization information, can be reduced by appropriate VQ indexing, or designing channel optimized VQs for the successive refinement systems. For very noisy channels unequal error protection to the critical and non critical bits with either block codes or convolution codes are used. Extensive simulation results are presented.

关键词： image coding Noise robustness Streaming media Resilience Degradation image reconstruction Quantization Indexing Design optimization Error correction codes

来源：评论

学校读者我要写书评

暂无评论

Rigid neuroendoscope navigation system for minimally invasive surgery

Rigid neuroendoscope navigation system for minimally invasiv...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A.M. Eldeib A. Mohamed A. Farag Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Louisville Louisville KY USA

This paper describes a high precision navigation system that helps neurosurgeons identify more easily the neuroendoscope's tip location in the patient's brain that can significantly reduce the length and increase the accuracy of minimally invasive procedures. It is an image-guided neurosurgery system that provides integrated information of preoperative 3-D medical volumes, intra-operative neuroendoscope 2-D images, position information of the endoscope and surgical tools. The system's components include data acquisition, segmentation, multi-modal registration, 3-D surface and volume reconstruction, 3-D visualization, surgical simulation and integration of tracking systems. An articulated arm (digitizer) is used for automated registration of the 3-D model to the patient, then it is integrated with the system to dynamically localize surgical instruments and the patient's head in the patient's coordinate system. The visualization subsystem shows the position and orientation of the neuroendoscope's tip in the 3-D model of preoperative Magnetic Resonance (MR) volume and in the three orthogonal (sagittal, cronoal and axial) MR slices. The system's components and clinical applications are described.

关键词： Navigation Minimally invasive surgery Neurosurgery Biomedical imaging Endoscopes Data acquisition image segmentation Surface reconstruction image reconstruction Data visualization

来源：评论

学校读者我要写书评

暂无评论

Fully constrained least-squares based linear unmixing [hyperspectral image classification]

Fully constrained least-squares based linear unmixing [hyper...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： D. Heinz C.-I. Chang M.L.G. Althouse Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA

A fully constrained least-squares linear unmixing approach to hyperspectral image classification is presented. It is derived from an unconstrained least-squares based orthogonal subspace projection. It is similar to a method developed by Shimabukuro and Smith (1991) in the least-squares sense, but significantly different from their method in the way of implementing the constraints. Since there is no closed form solution available, an efficient algorithm is developed for finding a fully constrained solution, which can be viewed as a generalization of Shimabukuro and Smith's method. The effectiveness of this algorithm is demonstrated through computer simulations and real data experiments.

关键词： Vectors Subspace constraints Pixel image processing Equations Hyperspectral imaging Remote sensing Signal processing Laboratories computer science

来源：评论

学校读者我要写书评

暂无评论

Linearly constrained minimum variance beamforming approach to target detection and classification for hyperspectral imagery

Linearly constrained minimum variance beamforming approach t...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Chein-I Chang Hsuan Ren Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA

Subspace projection and maximum likelihood have been used for hyperspectral image classification. One of their disadvantages is the requirement of a priori knowledge about material signatures resident in images which may be difficult to obtain in many practical applications. In order to resolve this problem, an approach, called Constrained Energy Minimization (CEM) was developed for target detection where the only required knowledge is the target signature of interest. It was derived based on the Minimum Variance Distortionless Response (MVDR) in array processing. However, CEM has been also shown to be very sensitive to the knowledge being used to describe the target signature. This paper develops a more general approach, called Linearly Constrained Minimum Variance (LCMV) beamforming which includes CEM as a special case. Unlike CEM which considers a single constraint, LCMV uses multiple signatures to extend the capability of CEM to various target classification. More specifically, LCMV can be implemented as an estimator for target classification while CEM can be used as a detector for target detection.

关键词： Array signal processing Object detection Finite impulse response filter Hyperspectral sensors Hyperspectral imaging Nonlinear filters image classification Vectors Power generation Layout

来源：评论

学校读者我要写书评

暂无评论

Spectral information divergence for hyperspectral image analysis

Spectral information divergence for hyperspectral image anal...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

The authors propose an information theoretic criterion, called spectral information divergence (SID) for spectral similarity and discriminability. It is derived from the concept of divergence arising in information theory and can be used to describe the statistics of a spectrum. Unlike spectral angle mapper (SAM) which extracts geometric features between two spectra, SID views each pixel spectrum as a random variable and then measures the discrepancy of probabilistic behaviors between two spectra. In order to evaluate SID, SAM is used for comparison via hyperspectral data. Experimental results show that SID can characterise spectral similarity and variability more effectively than SAM.

关键词： Hyperspectral imaging image analysis Hyperspectral sensors Random variables Remote sensing Information theory Pixel Data mining Interference Pattern classification

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55页 << < 38 39 40 41 42 43 44 45 46 47 > >>

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：