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

18 篇 会议
2 篇 期刊文献

馆藏范围

20 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10 篇 工学
- 10 篇 计算机科学与技术...
- 9 篇 软件工程
- 4 篇 光学工程
- 3 篇 电气工程
- 3 篇 生物医学工程（可授...
- 2 篇 电子科学与技术（可...
- 1 篇 力学（可授工学、理...
- 1 篇 信息与通信工程
- 1 篇 控制科学与工程
- 1 篇 轻工技术与工程
- 1 篇 生物工程
5 篇 理学
- 3 篇 数学
- 2 篇 物理学
- 1 篇 生物学
- 1 篇 统计学（可授理学、...
2 篇 医学
- 2 篇 临床医学
- 1 篇 基础医学(可授医学...
- 1 篇 药学(可授医学、理...
2 篇 管理学
- 2 篇 图书情报与档案管...

主题

3 篇 image segmentati...
2 篇 digital images
2 篇 image edge detec...
2 篇 noise
2 篇 histograms
2 篇 image reconstruc...
2 篇 images
1 篇 complex networks
1 篇 surveys
1 篇 fuzzy logic
1 篇 open spaces
1 篇 lesions
1 篇 tissue
1 篇 rank of data
1 篇 communities
1 篇 cancer
1 篇 persons
1 篇 deep learning
1 篇 magnetic resonan...
1 篇 noise measuremen...

机构

2 篇 department of co...
2 篇 department of pa...
2 篇 school of medica...
2 篇 institute of com...
2 篇 são carlos
2 篇 department of co...
1 篇 ifsp inst fed ed...
1 篇 mathematics and ...
1 篇 cnr isti pisa
1 篇 department of el...
1 篇 ecole polytech f...
1 篇 department of ma...
1 篇 department of el...
1 篇 inst informat uf...
1 篇 univ fed para uf...
1 篇 instituto de ciê...
1 篇 visgraf laborato...
1 篇 instituto de ciê...
1 篇 universidade de ...
1 篇 ouro preto mg au...

作者

1 篇 edson garcia soa...
1 篇 ide jaime s.
1 篇 paulo a.v. de mi...
1 篇 carvalho tiago j...
1 篇 oliveira manuel ...
1 篇 scopigno roberto
1 篇 yin lijun
1 篇 da silva roberto
1 篇 carvalho schuber...
1 篇 alexandre x. fal...
1 篇 yasuda clarissa ...
1 篇 luiz velho
1 篇 fábio a.m. cappa...
1 篇 barrera junior
1 篇 djalma lucio
1 篇 lijun yin
1 篇 lucio djalma
1 篇 junior barrera
1 篇 felipe joaquim c...
1 篇 adilson gonzaga

语言

20 篇 英文

检索条件"任意字段=25th SIBGRAPI - Conference on Graphics, Patterns and Images Tutorials, SIBGRAPI-T 2012"

共 20 条记录，以下是11-20 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：

A Deep Learning Approach for Classification of Reaching targets from EEG images 30

A Deep Learning Approach for Classification of Reaching Targ...

引用

30th sibgrapi conference on graphics, patterns and images tutorials (sibgrapi-t)

作者： Carvalho, Schubert R. Filho, Iraquitan C. Resende, Damares O. Siravenha, Ana C. de Souza, Cleidson R. B. Debarba, Henrique Gomes, Bruno D. Boulic, Ronan ITV Lab Comp Aplicada Belem Para Brazil Univ Fed Para UFPA Inst Ciencias Biol Belem Para Brazil Artanim Fdn Geneva Switzerland Ecole Polytech Fed Lausanne Immers Interact Grp Lausanne Switzerland

ISBN: (纸本)9781538622193

In this paper, we propose a new approach for the classification of reaching targets before movement onset, during visually-guided reaching in 3D space. Our approach combines the discriminant power of two-dimensional Electroencephalography (EEG) signals (i.e., EEG images) built from short epochs, with the feature extraction and classification capabilities of deep learning (DL) techniques, such as the Convolutional Neural Networks (CNN). In this work, reaching motions are performed into four directions: left, right, up and down. to allow more natural reaching movements, we explore the use of Virtual Reality (VR) to build an experimental setup that allows the subject to perform self-paced reaching in 3D space while standing. Our results reported an increase both in classification performance and early detection in the majority of our experiments. to our knowledge this is the first time that EEG images and CNN are combined for the classification of reaching targets before movement onset.

关键词： Brain-Computer Interface Deep Learning EEG Imagens

来源：评论

学校读者我要写书评

暂无评论

Preface: sibgrapi-t 2012

Preface: SIBGRAPI-T 2012

引用

tutorials of the Brazilian Symposium on Computer graphics and Image Processing (sibgrapi tutorials)

作者： Marcelo Walter Lijun Yin Ouro Preto MG August 2012

this book contains five survey papers written on the topics of the tutorials presented at the 25th sibgrapi - conference on graphics, patterns and images, held in Ouro Preto, Minas Gerais, Brazil from August 22-25, 2012. this is the fourth year that tutorial papers from sibgrapi are published by IEEE CPS. the authors of accepted tutorials are invited to write survey papers about the topics and concepts presented during the tutorial sessions. this selection includes survey papers on exciting topics in computer graphics, image processing and computer vision. We hope this material will inspire new exciting research in our fields.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Searching for people through textual and visual attributes

Searching for people through textual and visual attributes

引用

25th conference on graphics, patterns and images, sibgrapi 2012

作者： Fabian, Junior Pires, Ramon Rocha, Anderson Campinas-SP Brazil

ISBN: (纸本)9780769548296

Searching for people through their personal traits has been largely required for several areas and, consequently, has become the center of attention in the scientific community. Locating a suspect or finding missing people in a public space are some of the practical applications which take advantage of research conducted in this topic. In this paper, we propose the use of describable visual attributes (e.g., male, wear glasses, has beard), as labels that can be assigned to an image to describe its appearance. the approach is based on visual dictionaries to generate an intermediate representation for the face images. We train binary classifiers for the attributes which give to each image a score used to obtain its ranking. However, there are some attributes that have no immediate antagonistic (e.g., asian people). then, we evaluate unary classifiers for such attributes. the method is easily extensible to new attributes. For queries consisting of more than one attribute, we use two approaches of the state-of-the-art to combine the rankings: product of probabilities and rank aggregation. Experimental results show that incorporating visual dictionaries improves the accuracy for some attributes. Furthermore, for many attributes, rank aggregation achieves better results than traditional methods of rank fusion. the proposed solution might be of interest in a forensic scenario for searching suspects in a database by means of textual descriptions provided by a victim. © 2012 IEEE.

关键词： Persons Beard binary sorter Searches Visualization open spaces Dictionaries as topic images Rank of data scientific community

来源：评论

学校读者我要写书评

暂无评论

Kinect and RGBD images: Challenges and Applications

Kinect and RGBD Images: Challenges and Applications

引用

tutorials of the Brazilian Symposium on Computer graphics and Image Processing (sibgrapi tutorials)

作者： Leandro Cruz Djalma Lucio Luiz Velho VISGRAF Laboratory IMPA Rio de Janeiro Brazil

Kinect is a device introduced in November 2010 as an accessory of Xbox 360. the acquired data has different and complementary natures, combining geometry with visual attributes. For this reason, Kinect is a flexible tool that can be used in applications from several areas such as: Computer graphics, Image Processing, Computer Vision and Human-Machine Interaction. In this way, the Kinect is a widely used device in industry (games, robotics, theater performers, natural interfaces, etc.) and in research. We will initially present some concepts about the device: the architecture and the sensor. We then will discuss about the data acquisition process: capturing, representation and filtering. Capturing process consists of obtaining a colored image (RGB) and performing a depth measurement (D), with structured light technique. this data is represented by a structure called RGBD Image. We will also talk about the main tools available for developing applications on various platforms. Furthermore, we will discuss some recent projects based on RGBD images. In particular, those related to Object Recognition, 3D Reconstruction, Augmented Reality, Image Processing, Robotic, and Interaction. In this survey, we will show some research developed by the academic community and some projects developed for the industry. We intend to show the basic principles to begin developing applications using Kinect, and present some projects developed at the VISGRAF Lab. And finally, we intend to discuss the new possibilities, challenges and trends raised by Kinect.

关键词： Cameras Games Image color analysis Robot sensing systems Noise Accelerometers

来源：评论

学校读者我要写书评

暂无评论

Histogram Uniformization for Digital Image Encryption

Histogram Uniformization for Digital Image Encryption

引用

Brazilian Symposium on Computer graphics and Image Processing (sibgrapi)

作者： Juliano B. Lima Ricardo M. Campello de Souza Department of Mathematics Federal University of Pernambuco Recife Brazil Department of Electronics and Systems Federal University of Pernambuco Recife Brazil

In this paper, histogram uniformization of digital images by means of the finite field cosine transform (FFCt) is examined. the approach consists in dividing the image into blocks and applying the FFCt, in a recursive manner, to each block. Simulations of the procedure show that the histogram of the transformed image exhibits a uniform shape and its pixels have low correlation with their neighbors. this result is achieved due to the modular arithmetic used in the application of the FFCt to the image blocks. the suitability of the proposed technique in the context of image encryption is discussed.

关键词： transforms Histograms Encryption Correlation Equations Measurement Digital images

来源：评论

学校读者我要写书评

暂无评论

Image Micro-pattern Analysis Using Fuzzy Numbers

Image Micro-pattern Analysis Using Fuzzy Numbers

引用

Brazilian Symposium on Computer graphics and Image Processing (sibgrapi)

作者： Raissa t. Vieira Carlos Eduardo de Oliveira Chierici Carolina t. Ferraz Adilson Gonzaga Department of Electrical Engineering University of São Paulo São Paulo Brazil Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR

this paper proposes a new methodology for micro pattern analysis in digital images based on fuzzy numbers. A micro-pattern is the structure of the gray-level pixels within a neighborhood and can describe the spatial context of the image, such as edge, line, spot, blob, corner, texture, and more complex patterns. By treating a pixel neighborhood as a fuzzy set and each pixel gray-level as a fuzzy number, we can evaluate the membership degree of the central pixel to the others. We have called this method the Local Fuzzy Pattern (LFP). Using a sigmoid membership function, we proved that the proposed methodology surpasses the Hit-rate of the Local Binary Pattern (LBP), for texture classification. the LFP proved to be robust to image rotation. Moreover, our proposed formulation for the LFP is a generalization of previously published techniques, such as texture Unit, LBP, FUNED, and Census transform.

关键词： Feature extraction Histograms Databases Digital images Fuzzy logic Context Image edge detection

来源：评论

学校读者我要写书评

暂无评论

Structural Analysis of Histological images to Aid Diagnosis of Cervical Cancer

Structural Analysis of Histological Images to Aid Diagnosis ...

引用

Brazilian Symposium on Computer graphics and Image Processing (sibgrapi)

作者： Gisele Helena Barboni Miranda Junior Barrera Edson Garcia Soares Joaquim Cezar Felipe Department of Computing and Mathematics Faculty of Philosophy Sciences and Languages of Ribeirão Preto USP Brazil Department of Computer Science Institute of Mathematics and Statistics USP Brazil Department of Pathology Faculty of Medicine of Ribeirão Preto USP Brazil

the use of computational techniques in the processing of histopathological images allows the study of the structural organization of tissues and their pathological changes. the overall objective of this work includes the proposal, the implementation and the evaluation of a methodology for the analysis of cervical intraepithelial neoplasia (CIN) from histopathological images. For this purpose, a pipeline of morphological operators were implemented for the segmentation of cell nuclei and the Delaunay triangulation were used in order to represent the tissue architecture. Also, clustering algorithms and graph morphology were used to automatically obtain the boundary between the histological layers of the epithelial tissue. Similarity criteria and adjacency relations between the triangles of the network were explored. the proposed method was evaluated concerning the detection of the presence of lesions in the tissue as well as the their malignancy grading.

关键词： Image segmentation Lesions Vectors Cancer Clustering algorithms Image reconstruction Computer architecture

来源：评论

学校读者我要写书评

暂无评论

Contextual Filtering of Ct images Using Markovian Wiener Filters with a Non Local Means Approach for Statistical Estimation

Contextual Filtering of CT Images Using Markovian Wiener Fil...

引用

Brazilian Symposium on Computer graphics and Image Processing (sibgrapi)

作者： Denis H. P. Salvadeo Nelson D. A. Mascarenhas Alexandre L. M. Levada Computer Department Federal University of São Carlos Sao Carlos Brazil

Recently, investigations on medical imaging have been indicating a strong correlation between cases of cancers and the increasing number of Computed tomography (Ct) exams, mainly due to high radiation doses to which patients are exposed during the data acquisition process. thus, there is a need to reduce the radiation doses whereas still keeping satisfactory quality images for diagnosis. In this paper, we propose to filter noise in Ct images using contextual versions of Wiener Filter such as Generalized Wiener Filter (GWF) and Non Local Means approach for parameter estimation. Experiments show that the proposed methods are promising, since they provide good results with no significant increase in the computational cost.

关键词： Wiener filters Computed tomography Phantoms Image reconstruction Noise Noise measurement

来源：评论

学校读者我要写书评

暂无评论

Unraveling the Compromise between Skull Stripping and Inhomogeneity Correction in 3t MR images

Unraveling the Compromise between Skull Stripping and Inhomo...

引用

Brazilian Symposium on Computer graphics and Image Processing (sibgrapi)

作者： Fábio A.M. Cappabianco Paulo A.V. de Miranda Jaime S. Ide Clarissa L. Yasuda Alexandre X. Falcão Instituto de Ciê e Technologia Universidede federale de São Paulo Sao Jose do do Campos Brazil Institute of Mathematics and Statistics Universidede of São Paulo Sao Paulo Brazil School of Medical Science University of Campinas Campinas Brazil Institute of Computing University of Campinas Campinas Brazil

Bias field (in homogeneity) correction and skull stripping are initial standard procedures in medical image analysis of the human brain. Several works have investigated the effects of prior in homogeneity correction on skull stripping using 1.5 tesla magnetic resonance (MR) images, but this question remains unanswered for higher magnetic fields. this paper fills this gap using 3 tesla MR-images, by proposing a novel alternate sequence of skull stripping, morphological operations, in homogeneity correction and intensity standardization, with the first at the beginning and end of the sequence, denominated Iterative Skull Stripping methodology. Conversely to what happens in 1.5t images, experimental evaluation shows that, in 3 tesla datasets, in homogeneity effect plays an important role in stripping the brain. this observation produces a deep impact on previous and future studies that rely on skull stripping operation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Segmentation of Large images with Complex Networks

Segmentation of Large Images with Complex Networks

引用

Brazilian Symposium on Computer graphics and Image Processing (sibgrapi)

作者： Oscar Cuadros Glenda Botelho Francisco Rodrigues João Batista Neto Mathematics and Computer Science Institute University of Sao Paulo Sao Carlos Brazil

Image segmentation is still a challenging issue in pattern recognition. Among the various segmentation approaches are those based on graph partitioning, which present some drawbacks, one being high processing times. With the recent developments on complex networks theory, pattern recognition techniques based on graphs have improved considerably. the identification of cluster of vertices can be considered a process of community identification according to complex networks theory. Since data clustering is related with image segmentation, image segmentation can also be approached via complex networks. However, image segmentation based on complex networks poses a fundamental limitation which is the excessive numbers of nodes in the network. this paper presents a complex network approach for large image segmentation that is both accurate and fast. to that, we incorporate the concept of super pixels, to reduce the number of nodes in the network. We evaluate our method for both synthetic and real images. Results show that our method can outperform other graph-based methods both in accuracy and processing times.

关键词： Image segmentation Communities Complex networks Computational efficiency Partitioning algorithms Image edge detection Convergence

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2页 << < 1 2 > >>

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：