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

676 篇 会议
230 篇 期刊文献
7 册 图书

馆藏范围

913 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

421 篇 工学
- 258 篇 计算机科学与技术...
- 223 篇 软件工程
- 132 篇 光学工程
- 102 篇 电气工程
- 100 篇 生物医学工程（可授...
- 83 篇 信息与通信工程
- 66 篇 电子科学与技术（可...
- 66 篇 生物工程
- 37 篇 控制科学与工程
- 32 篇 机械工程
- 30 篇 仪器科学与技术
- 18 篇 化学工程与技术
- 13 篇 土木工程
- 12 篇 材料科学与工程（可...
- 11 篇 建筑学
- 9 篇 安全科学与工程
- 8 篇 航空宇航科学与技...
277 篇 理学
- 133 篇 物理学
- 125 篇 数学
- 79 篇 生物学
- 55 篇 统计学（可授理学、...
- 19 篇 化学
- 10 篇 系统科学
74 篇 管理学
- 41 篇 管理科学与工程(可...
- 37 篇 图书情报与档案管...
- 15 篇 工商管理
67 篇 医学
- 61 篇 临床医学
- 48 篇 基础医学(可授医学...
- 32 篇 药学(可授医学、理...
- 9 篇 公共卫生与预防医...
9 篇 艺术学
7 篇 农学
5 篇 教育学
4 篇 法学
1 篇 经济学

主题

137 篇 computer vision
117 篇 laboratories
106 篇 image segmentati...
84 篇 image analysis
63 篇 image processing
54 篇 feature extracti...
53 篇 magnetic resonan...
53 篇 shape
48 篇 cameras
47 篇 pixel
45 篇 image reconstruc...
38 篇 humans
38 篇 layout
35 篇 image edge detec...
34 篇 machine vision
34 篇 biomedical imagi...
33 篇 data mining
33 篇 algorithm design...
32 篇 robustness
32 篇 principal compon...

机构

19 篇 control and inte...
12 篇 department of el...
10 篇 computer vision ...
10 篇 remote sensing s...
10 篇 computer vision ...
10 篇 image analysis a...
10 篇 remote sensing s...
9 篇 radiology image ...
9 篇 department of ra...
9 篇 department of ra...
9 篇 computational in...
8 篇 remote sensing s...
8 篇 centre for medic...
8 篇 department of qu...
8 篇 image analysis l...
8 篇 computer vision ...
8 篇 department of el...
8 篇 laboratory for v...
7 篇 computer vision ...
7 篇 computer vision ...

作者

29 篇 hamid soltanian-...
20 篇 chein-i chang
18 篇 a.c. bovik
17 篇 soltanian-zadeh ...
15 篇 s. mitra
14 篇 h. knutsson
14 篇 aly a. farag
13 篇 timofte radu
13 篇 a.a. farag
13 篇 chang chein-i
12 篇 m.m. trivedi
12 篇 h. soltanian-zad...
11 篇 chang chein-i.
9 篇 bakas spyridon
9 篇 j. goutsias
9 篇 felsberg michael
9 篇 e.j. delp
8 篇 kofler florian
8 篇 d. poussart
8 篇 menze bjoern

语言

875 篇 英文
37 篇 其他
1 篇 中文

检索条件"机构=Computer Vision & Image Analysis Laboratory Department of Electrical and Computer Engineering"

共 913 条记录，以下是421-430 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：

MR artifact reduction in the simultaneous acquisition of EEG and fMRI of epileptic patients

MR artifact reduction in the simultaneous acquisition of EEG...

引用

16th European Signal Processing Conference, EUSIPCO 2008

作者： Amini, L. Sameni, R. Jutten, C. Hossein-Zadeh, G.A. Soltanian-Zadeh, H. GIPSA-LAB INPG 46 Avenue Félix Viallet 38031 Grenoble cedex France Electrical and Computer Engineering Department College of Engineering University of Tehran Tehran Iran School of Electrical Engineering Sharif University of Technology Tehran Iran Radiology Image Analysis Laboratory Henry Ford Hospital Detroit MI 48202 United States

Integrating high spatial resolution of functional magnetic resonance imaging (fMRI) and high temporal resolution of electroencephalogram (EEG) is promising in simultaneous EEG and fMRI analysis, especially for epileptic patients. The EEG recorded inside an MR scanner is interfered with MR artifacts. In this article, we propose new artifact reduction approaches and compare them with the conventional artifact reduction methods. Our proposed approaches are based on generalized eigenvalue decomposition (GEVD) and median filtering. The proposed methods are applied on experimental simultaneous EEG and fMRI recordings of an epileptic patient. The results show significant improvement over conventional MR artifact reduction methods. copyright by EURASIP.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Digital mammography: Towards pectoral muscle removal via independent component analysis

Digital mammography: Towards pectoral muscle removal via ind...

引用

4th IET International Conference on Advances in Medical, Signal and Information Processing, MEDSIP 2008

作者： Nicolaou, N. Petroudi, S. Georgiou, J. Polycarpou, M. Brady, M. Department of Electrical and Computer Engineering University of Cyprus 1678 Nicosia Cyprus Wolfson Medical Vision Laboratory Oxford University Oxford OX2 7DD United Kingdom

ISBN: (纸本)9780863419348

The extraction of features for automated assessment for breast cancer detection and diagnosis requires identification of the breast tissue. The pectoral muscle in medio-lateral oblique (MLO) mammogram images is one of the few landmarks in the breast. Yet, it can bias and affect the results of any mammogram processing method. To avoid such effects it is often necessary to automatically identify and segment the pectoral muscle prior to breast tissue image analysis. We propose the use of Independent Component analysis (ICA) for identification and subsequent removal of the pectoral muscle. The identification is posed as classification of image subsections corresponding to pectoral muscle and breast tissue as represented by a set of ICA basis functions. Average classification rates 97.3% and 83.3% for pectoral muscle and breast tissue respectively have been obtained.

关键词： Independent component analysis

来源：评论

学校读者我要写书评

暂无评论

Voxel-Based Morphometric Study of Brain Regions from Magnetic Resonance images in Temporal Lobe Epilepsy

Voxel-Based Morphometric Study of Brain Regions from Magneti...

引用

IEEE Southwest Symposium on image analysis and Interpretation

作者： Matineh Shaker Hamid Soltanian-Zadeh Department of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Hospital Detroit MI USA

ISBN: (纸本)9781424422968;1424422965

The aim of this study was to analyze the brain structures in temporal lobe epilepsy (TLE) using 3D T1-weighed magnetic resonance images (MRI). We used a method of voxel-based morphometry (VBM) with the unified segmentation framework to examine the effects of TLE on specific brain structures in 22 patients. Also, 18 healthy control subjects were included in this study for group comparison. We accomplished GM segmentation, spatial normalization, and intensity non-uniformity correction in the same model. Besides, removal of nonbrain voxels and compensation of spatial normalization effects were performed in this study. Student's t-test statistical models of differences between gray matter concentration (GMC) of patients and controls were obtained using a general linear model (GLM). Compared to controls, TLE presented GMC reduction in hippocampus, amygdala, and entorhinal cortex. Comparison of abnormal areas detected by VBM method and manual delineation of these structures confirms the obtained results.

关键词： Magnetic resonance Temporal lobe Epilepsy image segmentation Magnetic resonance imaging Hippocampus image analysis Magnetic analysis Brain modeling Diseases

来源：评论

学校读者我要写书评

暂无评论

Non-ideal iris segmentation using graph cuts

Non-ideal iris segmentation using graph cuts

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Shrinivas J. Pundlik Damon L. Woodard Stanley T. Birchfield Electrical and Computer Engineering Department Clemson University Clemson SC USA School of Computing Image and Video Analysis Laboratory Clemson SC USA

A non-ideal iris segmentation approach using graph cuts is presented. Unlike many existing algorithms for iris localization which extensively utilize eye geometry, the proposed approach is predominantly based on image intensities. In a step-wise procedure, first eyelashes are segmented from the input images using image texture, then the iris is segmented using grayscale information, followed by a post-processing step that utilizes eye geometry to refine the results. A preprocessing step removes specular reflections in the iris, and image gradients in a pixel neighborhood are used to compute texture. The image is modeled as a Markov random field, and a graph cut based energy minimization algorithm [2] is used to separate textured and untextured regions for eyelash segmentation, as well as to segment the pupil, iris, and background using pixel intensity values. The algorithm is automatic, unsupervised, and efficient at producing smooth segmentation regions on many non-ideal iris images. A comparison of the estimated iris region parameters with the ground truth data is provided.

关键词： Iris image segmentation Eyelashes Pixel image texture Gray-scale Information geometry Reflection Markov random fields Minimization methods

来源：评论

学校读者我要写书评

暂无评论

Moving object removal in video sequence and background restoration using kalman filter

Moving object removal in video sequence and background resto...

引用

International Symposium on Telecommunications, IST

作者： Saeed Kamel Hossein Ebrahimnezhad Afshin Ebrahimi Computer Vision Research Laboratory Electrical Engineering Department Sahand University of Technology Tabriz Iran

Object removal in image and video sequences has attracted many researchers in video processing. In this paper, a novel method is proposed to separate moving objects from background based on combination of Kalman filtering and background subtraction. Also, a video completion algorithm is proposed to remove the extracted objects. This algorithm uses the temporal information of frames to complete the holes appeared after object removal. The holes associated to the fixed objects in background model are removed and filled by image completion algorithm based on exemplar texture synthesis. Experimental results demonstrate the privilege performance of the proposed method in object removing and background restoration of real captured video sequences.

关键词： Kalman filters Pixel Motion segmentation computer vision image color analysis image restoration Filtering

来源：评论

学校读者我要写书评

暂无评论

Building detection from aerial images using invariant color features and shadow information

Building detection from aerial images using invariant color ...

引用

International International Symposium on computer and Information Sciences (ISCIS)

作者： Beril Sirmacek Cem Unsalan Computer Vision Research Laboratory Department of Electrical and Electronics Engineering Yeditepe University Istanbul Turkey

Robust detection of buildings is an important part of the automated aerial image interpretation problem. Automatic detection of buildings enables creation of maps, detecting changes, and monitoring urbanization. Due to the complexity and uncontrolled appearance of the scene, an intelligent fusion of different methods gives better results. In this study, we present a novel approach for building detection using multiple cues. We benefit from segmentation of aerial images using invariant color features. Besides, we use the edge and shadow information for building detection. We also determine the shape of the building by a novel method.

关键词： image edge detection Buildings image segmentation Shape Data mining computer vision Gray-scale Testing Lighting Laboratories

来源：评论

学校读者我要写书评

暂无评论

Trajectories normalization for viewpoint invariant gait recognition

Trajectories normalization for viewpoint invariant gait reco...

引用

International Conference on Pattern Recognition

作者： Frederic Jean Robert Bergevin Alexandra Branzan Albu Computer Vision and Systems Laboratory Laval University QUE Canada Department of Electrical and Computer Engineering University of Victoria BC Canada

ISBN: (纸本)9781424421749

This paper proposes a method to obtain fronto-parallel (side-view) body part trajectories for a walk observed from an arbitrary view. The method is based on homography transformations computed for each gait half-cycle detected in the walk. Each homography maps the body part trajectories to a simulated side view of the walk. The proposed method is stable as the resulting normalized trajectories are not influenced by missing or omitted parts of the raw trajectories. Experiments confirm that normalized trajectories are in agreement with the ones that would be obtained from a side view.

关键词： Cameras Legged locomotion Surveillance computer vision Laboratories Trajectory Computational modeling Biometrics Calibration image segmentation

来源：评论

学校读者我要写书评

暂无评论

A motion compensated filtering approach to remove sunlight flicker in shallow water images

A motion compensated filtering approach to remove sunlight f...

引用

OCEANS

作者： Nuno Gracias Shahriar Negahdaripour Laszlo Neumann Ricard Prados Rafael Garcia Underwater Vision Laboratory Computer Architecture and Technology Department University of Girona Girona Spain Underwater Vision and Imaging Laboratory Electrical and Computer Engineering Department University of Miami Coral Gables FL USA

ISBN: (纸本)9781424426195

A common problem in video surveys in very shallow waters is the presence of strong light fluctuations, due to sun light refraction. Refracted sunlight casts fast moving patterns, which can significantly degrade the quality of the acquired data. Motivated by the growing need to improve the quality of shallow water imagery, we propose a method to remove sunlight patterns in video sequences. The method exploits the fact that video sequences allow several observations of the same area of the sea floor, over time. It is based on computing the image difference between a given reference frame and the temporal median of a registered set of neighboring images. A key observation is that this difference will have two components with separable spectral content. One is related to the illumination field (lower spatial frequencies) and the other to the registration error (higher frequencies). The illumination field, recovered by lowpass filtering, is used to correct the reference image. In addition to removing the sunflickering patterns, an important advantage of the approach is the ability to preserve the sharpness in corrected image, even in the presence of registration inaccuracies. The effectiveness of the method is illustrated in image sets acquired under strong camera motion containing non-rigid benthic structures. The results testify the good performance and generality of the approach.

关键词： Filtering Optical refraction Video sequences Lighting Frequency Fluctuations Sun Degradation Sea floor Cameras

来源：评论

学校读者我要写书评

暂无评论

Automated Facial Feature Detection from Portrait and Range images

Automated Facial Feature Detection from Portrait and Range I...

引用

IEEE Southwest Symposium on image analysis and Interpretation

作者： Sina Jahanbin Alan C. Bovik Hyohoon Choi Department of Electrical and Computer Engineering University of Texas Austin USA Computer Vision Research Laboratory Sealed Air Corporation San Jose USA

ISBN: (纸本)9781424422968;1424422965

We propose a novel technique to detect feature points from portrait and range representations of the face. In this technique, the appearance of each feature point is encoded using a set of Gabor wavelet responses extracted at multiple orientations and spatial frequencies. A vector of Gabor coefficients, called a jet, is computed at each pixel in the search window on a fiducial and compared with a set of jets, called a bunch, collected from a set of training data on the same type of fiducial. The desired feature point is located at the pixel whose jet is the most similar to the training bunch. This is the first time that Gabor wavelet responses were used to detect facial landmarks from range images. This method was tested on 1146 pairs of range and portrait images and high detection accuracies are achieved using a small number of training images. It is shown that co-localization using Gabor jets on range and portrait images resulted in better accuracy than using any single image modality. The obtained accuracies are competitive to that of other techniques in the literature.

关键词： Facial features Face detection computer vision Face recognition Shape Nose Active appearance model Data mining Robustness Detection algorithms

来源：评论

学校读者我要写书评

暂无评论

A kidney segmentation approach from DCE-MRI using level sets

A kidney segmentation approach from DCE-MRI using level sets

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： H. Abdelmunim Aly A. Farag W. Miller Mohamed AboelGhar Department of Computer Science Computational Biomedicine Laboratory University of Houston Houston TX USA Computer Vision and Image Processing LabDepartment of Electrical and Computer Engineering University of Louisville Louisville KY USA Medical School Mansoura University Mansoura Egypt

Acute rejection is the most common reason of graft failure after kidney transplantation, and early detection is crucial to survive the transplanted kidney function. Automatic classification of normal and acute rejection transplants from dynamic contrast enhanced magnetic resonance imaging (DCEMRI), is of great importance. Kidney segmentation is the first step for such classification. The image intensity inside the kidney is used as an indication of failure/success. Differentiating between different cases cases is implemented by comparing subsequential kidney scans signals. So, this process is mainly dependent on segmentation. This paper introduces a new shape-based segmentation approach based on level sets. Training shapes are collected from different real data sets to represent the shape variations. Signed distance functions are used to represent these shapes. The methodology incorporates image and shape prior information in a variational framework. The shape registration is considered the backbone of the approach where more general transformations can be used to handle the process. We introduce a novel shape dissimilarity measure that enables the use of different (inhomogeneous) scales. The approach gives successful results compared with other techniques restricted to transformations with homogeneous scales. Results for segmenting kidney images will be illustrated and compared with other approaches to show the efficiency of the proposed technique.

关键词： Level set image segmentation computer vision Magnetic resonance imaging Shape measurement Biopsy Biomedical computing computer science image processing Biomedical imaging

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92页 << < 39 40 41 42 43 44 45 46 47 48 > >>

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：