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

95 篇 会议
16 篇 期刊文献

馆藏范围

111 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

47 篇 工学
- 23 篇 计算机科学与技术...
- 20 篇 软件工程
- 14 篇 光学工程
- 11 篇 机械工程
- 8 篇 电子科学与技术（可...
- 8 篇 生物医学工程（可授...
- 7 篇 仪器科学与技术
- 7 篇 电气工程
- 7 篇 信息与通信工程
- 7 篇 生物工程
- 6 篇 控制科学与工程
- 5 篇 土木工程
- 3 篇 水利工程
- 3 篇 船舶与海洋工程
- 2 篇 建筑学
29 篇 理学
- 15 篇 物理学
- 13 篇 数学
- 6 篇 生物学
- 5 篇 统计学（可授理学、...
- 2 篇 地质学
- 1 篇 化学
7 篇 管理学
- 5 篇 管理科学与工程(可...
- 3 篇 图书情报与档案管...
5 篇 医学
- 5 篇 临床医学
- 3 篇 基础医学(可授医学...
- 3 篇 药学(可授医学、理...
3 篇 艺术学
- 3 篇 设计学（可授艺术学...
2 篇 农学
- 2 篇 作物学
1 篇 法学
- 1 篇 社会学
1 篇 教育学
- 1 篇 心理学(可授教育学...

主题

28 篇 computer vision
26 篇 image processing
25 篇 image segmentati...
19 篇 shape
13 篇 cameras
13 篇 laboratories
13 篇 computed tomogra...
12 篇 robustness
9 篇 feature extracti...
8 篇 pixel
8 篇 biomedical imagi...
8 篇 histograms
7 篇 level set
7 篇 partial differen...
7 篇 computer graphic...
7 篇 pattern recognit...
6 篇 lighting
6 篇 face
6 篇 topology
6 篇 shape measuremen...

机构

28 篇 computer vision ...
6 篇 pattern recognit...
6 篇 institute for co...
5 篇 pattern recognit...
4 篇 kentucky imaging...
4 篇 faculty of engin...
4 篇 institute for co...
3 篇 computer vision ...
3 篇 university of ch...
3 篇 computer vision ...
3 篇 computer vision ...
3 篇 higher technolog...
2 篇 university of sc...
2 篇 computer vision ...
2 篇 institute of ima...
2 篇 pattern recognit...
2 篇 image processing...
2 篇 faculty of engin...
2 篇 color and image ...
2 篇 department of qu...

作者

20 篇 aly a. farag
11 篇 a.a. farag
7 篇 asem ali
7 篇 bischof horst
6 篇 h. bischof
6 篇 aly farag
5 篇 g. langs
5 篇 m.s. hassouna
5 篇 asem m. ali
5 篇 a. farag
4 篇 mostafa abdelrah...
4 篇 hossam e. abd el...
4 篇 a.e. abdel-hakim
4 篇 langs georg
4 篇 salwa elshazly
3 篇 s.a.r. abu-bakar
3 篇 samir harb
3 篇 hossam abdelmuni...
3 篇 wildenauer horst
3 篇 saeed vahabi mas...

语言

110 篇 英文
1 篇 其他

检索条件"机构=CVIP Computer Vision and Image Processing group"

共 111 条记录，以下是51-60 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：

Automatic Segmentation of Abdominal Aortic Aneurysm in Computed Tomography images Using Spatial Fuzzy C-Means

Automatic Segmentation of Abdominal Aortic Aneurysm in Compu...

引用

International IEEE Conference on Signal-image Technologies and Internet-Based System

作者： Emadaldin Mozafari Majd U.U. Sheikh S.A.R. Abu-Bakar Computer Vision Video and Image Processing Research Group (Cvvip) Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia

Abdominal aortic aneurysm (AAA) is a cardiovascular disease which mostly appears in elderly people. Due to the weakening of aortic wall, a rupture occurs in the most inner layer of aorta and a thrombus is generated. If the diameter exceeds greater than 5.5 cm, a treatment strategy is required. As a result, CT imaging is utilized to screen and evaluate thrombus parameters for treatment. Exploitation of automatic techniques improves the pre- and post-treatment evaluation. In this paper, at first an algorithm based on spatial fuzzy c-means is applied to the CT image. Then lumen and thrombus are segmented automatically by tuning of morphological operators and thresholding parameters.

关键词： image segmentation Computed tomography Pixel Aneurysm Clustering algorithms Correlation Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

Primitive-based 3D Structure Inference from a Single 2D image for Insect Modeling: Towards an Electronic Field Guide for Insect Identification

Primitive-based 3D Structure Inference from a Single 2D Imag...

引用

International Conference on Control, Automation, Robotics and vision

作者： Xiaozheng Zhang Yongsheng Gao Terry Caelli Biosecurity Group Queensland Research Lab National ICT Australia Brisbane Australia Computer Vision and Image Processing Lab Griffith University Brisbane Australia

ISBN: (纸本)9781424478149

3D insect models are useful to overcome viewing angle variations and self-occlusions in computer-assisted insect taxonomy for electronic field guides. The acquisition of 3D information is, however, unreliable due to the flexibility and small size of the insect bodies. This paper explores how to infer 3D insect models from a single 2D insect image, which will assist both insect description and identification. The 3D structure of the insect body is modeled from two geometric primitives, generalized cylinders and deformable ellipsoids. The primitives are fitted and warped based on both edge and medial axis constraints of the 2D image. Individualized 3D models are then built to approximate the insect structure. The proposed approach results in seemingly useful 3D insect models capable of representing the major morphological characteristics for a variety of insects with different body types. This method could be a helpful assistance for computer-assisted insect taxonomy and insect identification by entomologists and the public.

关键词： 3D model insect description structure inference 3D reconstruction

来源：评论

学校读者我要写书评

暂无评论

Labelling color images by modelling the colors density using a linear combination of Gaussians and EM algorithm

Labelling color images by modelling the colors density using...

引用

IEEE International Conference on image processing

作者： Asem M. Ali Amal A. Farag Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP Lab) University of Louisville Louisville KY

Parametric density estimation is widely used to solve many image processing problems. We examined the parametric estimation using linear combination of 1D Gaussians in many works. In this work, we extend our model to estimate density of the colors in color images. We approximate the marginal density of each class in the empirical probability density function by a 3D Gaussian distribution. Then, the deviation between the estimated and the empirical densities is modelled using a linear combination of 3D Gaussians with positive and negative components. We estimate the parameters of this model using our modified EM algorithm. The proposed framework demonstrates very promising experimental results of color images labelling and can be integrated with many other frameworks.

关键词： Labeling Color Gaussian processes Function approximation Probability density function image processing Gaussian distribution Parameter estimation image segmentation Gaussian approximation

来源：评论

学校读者我要写书评

暂无评论

A variational framework for 3D colonic polyp visualization in virtual colonoscopy

A variational framework for 3D colonic polyp visualization i...

引用

IEEE International Conference on image processing

作者： Dongqing Chen Aly A. Farag Robert L. Falk Gerald W. Dryden Computer Vision & Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA Jewish Hospital Louisville KY USA Division of Gastroenterology/Hepatology University of Louisville Louisville KY USA

Colorectal cancer includes cancer of the colon, rectum, anus and appendix. Since it is largely preventable, it is extremely important to detect and treat the colorectal cancer in the earliest stage. Virtual colonoscopy is an emerging screening technique for colon cancer. One component of virtual colonoscopy, image pre-processing, is important for colonic polyp detection/ diagnosis, feature extraction and classification. This paper introduces a general variational approach based framework for a computer aided diagnosis system for colorectal cancer. It includes techniques for 3D colon segmentation, 3D colon object reconstruction by iso-surface generation, and 3D centerline extraction. The proposed framework has been validated on 22 real CT colonography datasets.

关键词： Colonic polyps Visualization Virtual colonoscopy Cancer Colon Colonography image segmentation Optical computing Computed tomography image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Accurate and fast 3D colon segmentation in CT colonography

Accurate and fast 3D colon segmentation in CT colonography

引用

IEEE International Symposium on Biomedical Imaging

作者： Dongqing Chen Rachid Fahmi Aly A. Farag Robert L. Falk Gerald W. Dryden Computer Vision & Image Processing (CVIP) Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY USA Department of Medical Imaging Jewish Hospital and Saint Marys Healthcare Louisville KY USA Division of Gastroenterology/Hepatology Department of Medicine University of Louisville Louisville KY USA

ISBN: (纸本)9781424439317

This paper introduces an adaptive level set method for 3D segmentation of colon tissue in CT colonography filled with air and opacified fluid. First, most of the opacified liquid is removed by a threshold value. The closed contours are propagated toward the desired 3D region boundaries through the iterative evolution of the adaptive level sets function. The proposed method has been tested on 22 real CT colonography datasets with various pathologies, and the segmentation accuracy has achieved 98.40%.

关键词： Colonography Colon Virtual colonoscopy Cancer image segmentation Colonic polyps Level set Deformable models Computed tomography Visualization

来源：评论

学校读者我要写书评

暂无评论

A layered approach to robust lane detection at night

A layered approach to robust lane detection at night

引用

IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, CIVVS

作者： Amol Borkar Monson Hayes Mark T. Smith Sharathchandra Pankanti Center of Signal and Image Processing (CSIP) Georgia Institute of Technology USA Department of Communication Systems KTH Swedish Royal Institute of Technology Sweden Exploratory Computer Vision Group (ECVG) IBM Thomas J. Watson Research Center USA

A layered approach is designed to address many of the real-world problems that an inexpensive lane detection system would encounter. A region of interest is first extracted from the image followed by an enhancement procedure to manipulate the shape of the lane markers. The extracted region is then converted to binary using an adaptive threshold. A model based line detection system hypothesizes lane position. Finally, an iterated matched filtering scheme estimates the final lane position. The developed system shows good performance when tested on real-world data that contains fluctuating illumination and a variety of traffic conditions.

关键词： Robustness image edge detection Cameras image converters Lighting Road accidents Automobiles Pixel Road transportation image segmentation

来源：评论

学校读者我要写书评

暂无评论

A new symmetric shape from shading algorithm with an application to 3-D face reconstruction

A new symmetric shape from shading algorithm with an applica...

引用

IEEE International Conference on image processing

作者： Abdelrehim Ahmed Aly Farag Thomas Starr Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA

This paper presents a new symmetric shape from shading (SFS) algorithm where the self-ratio image irradiance equation proposed by Zhao and Chellappa is formulated as a partial differential equation (PDE) with a Dirichlet boundary condition. This PDE is solved using the Lax-Friedrichs sweeping method. The potential of the proposed symmetric SFS algorithm is demonstrated by several experiments on synthetic and real data. As an application, the proposed algorithm is used for 3-D face reconstruction.

关键词： Shape Partial differential equations Iterative algorithms Rough surfaces Surface roughness Face image reconstruction Differential equations Brightness Nonlinear equations

来源：评论

学校读者我要写书评

暂无评论

A novel framework for N-D multimodal image segmentation using graph cuts

A novel framework for N-D multimodal image segmentation usin...

引用

IEEE International Conference on image processing

作者： Asem M. Ali Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP Lab) University of Louisville Louisville KY USA

This work proposes a new MAP-based segmentation framework of multimodal images. In this work a joint MGRF model is used to describe the image. The main focus here is a more accurate model identification. For a known number of classes in the given image, the empirical distributions of this image signals are precisely approximated by a LCG distributions with positive and negative components. Gibbs potential, which is used to identify the spatial interaction between the neighboring pixels, is analytically estimated. Finally, an energy function using the previous models is formulated and is globally minimized using graph cuts. Experiments show that the developed technique gives promising accurate results compared to other known algorithms.

关键词： image segmentation Pixel Joining processes Labeling image processing Gray-scale Robustness Object segmentation computer vision Laboratories

来源：评论

学校读者我要写书评

暂无评论

Density estimation using a new AIC-type criterion and the EM algorithm for a linear combination of Gaussians

Density estimation using a new AIC-type criterion and the EM...

引用

IEEE International Conference on image processing

作者： Asem M. Ali Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP Lab) University of Louisville Louisville KY USA

We propose a new approach that approximates an empirical probability density function of scalar data with a linear combination of Gaussians (LCG). The proposed algorithm approximates the marginal density of each class using a Gaussian distribution. Number of the classes and their distributions parameters are estimated using a new Akaike Information Criterion (AlC)-type criterion and the Expectation- Maximization (EM) approach. Each class does not follow perfect Gaussian distribution so we refine the initial LCG model using a modified EM algorithm. The modified EM algorithm approximates the marginal density of each class using a LCG with positive and negative components. Experiments in segmenting multimodal medical images show that the developed technique gives promising accurate results.

关键词： Gaussian processes Function approximation Probability density function Gaussian approximation Gaussian distribution Parameter estimation image processing Clustering algorithms image segmentation Probability distribution

来源：评论

学校读者我要写书评

暂无评论

Multispectral imaging with flash light sources

Multispectral imaging with flash light sources

引用

4th European Conference on Colour in Graphics, Imaging, and vision and 10th International Symposium on Multispectral Colour Science, CGIV 2008/MCS'08

作者： Brauers, Johannes Helllng, Stephan Aach, Til Institute of Imaging and Computer Vision RWTH Aachen University Templergraben 55 D-52056 Aachen Germany Color and Image Processing Research Group RWTH Aachen University Templergraben 55 D-52056 Aachen Germany

ISBN: (纸本)9781605607023

Flash photography is widely used in professional studios due to its high intensities and the resulting short exposure times. However, most multispectral image acquisition systems use continuous light sources. But since flashguns exhibit several advantages over heat light sources, namely high intensities at short firing times, low heat production and small aperture stops, we developed a multispectral flash acquisition system: We use a multispectral camera with a bandpass filter wheel and sequentially acquire grayscale images, which are then combined into a multispectral image. For each filter wheel position, we trigger the flash. The colorimetric analysis of the estimated spectra shows that flash light multispectral imaging performs comparably to a heat light source system, with a mean color error of δEoo = 1.594. We consider several aspects specific to flash light sources, namely the spectrum, repeat accuracy, illumination uniformity, calibration of the system, interference stripes and synchronization. © 2008 Society for Imaging Science and Technology.

关键词： Light sources

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12页 << < 2 3 4 5 6 7 8 9 10 11 > >>

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：